Discovery of Unknown Modifications in Recombinant Monoclonal Antibodies
By Chris Chumsae
B.A. Chemistry, Assumption College
M.S. Chemistry, Northeastern University
A dissertation submitted to
The Faculty of
The College of Science of
Northeastern University
In partial fulfillment of the requirements
For the degree of Doctor of Philosophy
April 10, 2015
Dissertation directed by
Zhaohui Sunny Zhou
Associate Professor of Chemistry and Chemical Biology
ii
Abstract of Dissertation
Recombinant monoclonal antibodies have become one of the most important classes of
biotherapeutics today. Due to their complexity, they must be produced by cellular expression.
They are subject to various posttranslational modifications during manufacture, formulation and
storage. Occasionally, the antibody may encounter a reactive molecule which in turn, results in a
new variant. The application of modern analytical strategies including charge-based approaches
and mass spectrometry in a defined workflow can effectively elucidate the presence of new
species and help to understand the chemistry and underlying root cause. This dissertation will
discuss the discovery of three novel chemical modifications in a recombinant monoclonal
antibody therapeutic. First, methylglyoxal from cellular metabolism was found to react and
modify the side chains of susceptible arginine residues. The adduction increased the mass by 54
or 72 daltons and caused the antibody to elute earlier in weak cation exchange chromatography
(WCX). Second, the N-terminus of the antibody was determined to be modified by citric acid
used as an excipient in the formulation buffer during storage. The modification increased the
mass by 156 or 174 daltons and also resulted in an earlier elution of the modified species by
WCX. Lastly, the antibody was modified by the addition of vitamin C (ascorbic acid) added to
the cell culture as a supplement. It was determined that ascorbic acid degraded to xylosone
which in turn reacted with primary amines in the antibody. The modification increased the
molecular weight by 130 or 148 daltons and once again caused the antibody to elute earlier.
These results were confirmed using stable isotope labeled ascorbic acid. All of these variants
were initially observed as minor peaks in the chromatogram but the application of mass
spectrometry strategies and spiking studies proved that such unassuming changes are worth
further investigation.
iii
ACKNOWLEDGEMENTS
I thank my advisor, Professor Zhaohui Sunny Zhou, for his commitment to helping me
grow as a scientist and for his advice. I am indebted to him for introducing me to the Industrial
Ph.D. program at Northeastern University and encouraging me to pursue a doctoral degree at
Northeastern University. Sunny has helped me to stand tall as a scientist. . In addition, Sunny
has shown me by example what it means to be successful in science and in life.
I thank my co-advisor, Dr. Czeslaw Radziejewski, for his mentorship and support at
AbbVie. If not for his trust, I would not have been afforded the opportunities to contribute to
many projects which have given me the chance to flourish as a scientist. In addition, I want to
thank Czes for his friendship and guidance over the past eight years.
I thank Dr. Hongcheng Liu for his encouragement and belief in me to be successful in
pursuit of a Ph.D. degree. I am also appreciative to Dr. David Lee for encouraging words and
stimulating scientific discussions. I thank Gary Welch and Dr. Li Malmberg for supporting me
in my pursuit of a doctoral degree. I thank Drs. Peter Moesta, George Avgerinos and Ralph
Lambalot for believing in me and seeing the value in this endeavor.
I thank my committee members, Professors Barry Karger, Jeff Agar and Joe Zaia for their
helpful suggestions regarding my work.
I thank my colleagues, Dr. Anton Manuilov, Liqiang Lisa Zhou, Dr. Randall Burton, Dr.
Ivan Coreia, Dr. David Lee, Dr. Nathan Brown, David Ouellette, Leslie Alessandri, Dr.
Dongdong Wang, Yang Shen, Yun Zhang, Reema Raghevendra, Kathy Gifford, Georgeen Gaza-
iv
Bulseco, Karen Hurkmans, Michelle Deloreto and Aima Acquah. I want to give a special thanks
to Dr. Yu Zhou and Haly Raharimampionona for their hard work, dedication and their
friendship.
I thank my collaborators at AbbVie, Dr. Patrick Hossler, Sean McDermott, Chris Racicot,
Dr. Kartik Subramanian, Dr. Wei Lian, Dr. Chen Wang, Dr. Mia Wang, Dr. Mike Naill and
Lihua Yang.
I thank the members of SUNNYLAND, Dr. Tianzhu Indi Zang, Dr. Min Liu, Wanlu Qu,
Shanshan Liu, Kalli Catcott, Kevin Moulton and Mike Pablo.
I thank my parents for their support and belief in me. Their encouragement and pride
helped me to persevere. I only wish my dad was still alive to see me get here.
To my son Kyle, I hope my efforts will encourage him to pursue his own dreams, persist
when times get tough and show him that you are never too old to take on new challenges.
Lastly, I thank a very special person. Qing, you have encouraged me in so many ways in
life and have always believed that I would achieve this goal. I want to thank you for being by
my side on this journey. I look forward to many more journeys together.
v
Table of Contents
Abstract ii
Acknowledgements iii
Table of Contents v
List of Schemes x
List of Tables xi
List of Figures xii
List of Abbreviations and Symbols xv
Chapter 1 Introduction and Background 1
1.1 Introduction 1
1.2 Reactive Molecules 5
1.2.1 Free Thiols 5
1.2.2 Homocysteine and N-Homocysteinylation 7
1.2.3 Glycation 9
1.2.4 Advanced Glycation Endproducts 11
1.2.5 1,3-Bisphosphoglycerate 13
1.2.6 Peroxides and Lipid Peroxidation 15
1.2.7 Peroxide-mediated Sulfenylation 17
1.2.8 The complexity of a biological system 17
1.2.9 Intracellular influences and Reactive Oxygen Species 20
1.2.10 Detecting the Unexpected 21
1.3 Analytical Strategies to Discover the Unexpected 23
1.3.1 Analytical Detective Work 23
vi
1.3.2 Weak Cation Exchange Chromatography 23
1.3.3 Reduced Liquid Chromatography/Mass Spectrometry 25
1.3.4 Spiking Studies with Likely Molecules 26
1.3.5 Peptide Mapping with Detection by Mass Spectrometry 27
1.3.6 Agreement between the spiked agent and the initial findings 30
1.3.7 Stable Isotope Labels 31
1.3.8 Interpretation of all of the Findings 32
1.3.9 Summary 32
1.4 References 34
Chapter 2 Arginine Modifications by Methylglyoxal: Discovery in a Recombinant
Monoclonal Antibody and Contribution to Acidic Species 45
2.1 Abstract 45
2.2 Introduction 46
2.3 Materials and Methods 49
2.3.1 Materials 49
2.3.2 Weak cation exchange (WCX) chromatography 49
2.3.3 LC-MS analysis of light and heavy chains of antibody 49
2.3.4 Tryptic and Lys-C digestion 50
2.3.5 LC-MS analysis of peptides 50
2.3.6 Methylglyoxal reaction with monoclonal antibody 51
2.3.7 Global Analysis of MGO Modification 52
2.3.8 Quantification of Modified Peptides 52
2.4 Results and Discussion 53
vii
2.4.1 New acidic species induced by changes in cell culture 53
2.4.2 Localization of the modification sites 58
2.4.3 Deduction of the Structure of the Modification 61
2.4.4 Incubation with Authentic MGO to generate reference 61
2.4.5 Comparison of the in vitro references and the cell culture samples 64
2.4.6 Global Analysis of Modifications by MGO 64
2.4.7 Effects of MGO Modification on Charge 67
2.4.8 Relevance to other Contributing Factors to Acidic Species 70
2.4.9 Formation of MGO as a New Critical Attribute for Cell Culture 70
2.5 Conclusions 72
2.6 References 73
2.7 Supporting Information 78
Chapter 3 Discovery of a Chemical Modification by Citric Acid in a Recombinant
Monoclonal Antibody 87
3.1 Abstract 87
3.2 Introduction 88
3.3 Materials and Methods 90
3.3.1 Materials 90
3.3.2 Weak cation exchange (WCX) chromatography 90
3.3.3 LC-MS analysis of reduced antibody 91
3.3.4 Tryptic digestion 91
3.3.5 LC-MS analysis of peptides 92
3.3.6 Reaction of citric acid buffer with the monoclonal antibodies 92
3.3.7 N-Terminal Variants and Additional IgG’s 93
viii
3.4 Results and Discussion 94
3.4.1 Unexpected covalent modifications by citric acid 96
3.4.2 Reduced LC/MS Analysis 98
3.4.3 Peptide Mapping and Determination of Sites of Modifications in antibody A 101
3.4.4 Elucidation of the chemical nature of the modifications 105
3.4.5 Reactions in citrate buffers (as compared to formulation) 105
3.4.6 Prevalence of the citrate modification 109
3.4.7 Influence of pH 111
3.4.8 Selectivity of amines 111
3.5 Conclusions 112
3.6 References 113
Chapter 4 When Good Intentions Go Awry: Modification of a Recombinant Monoclonal
Antibody in Chemically Defined Cell Culture by Xylosone, an Oxidative Product of Ascorbate
119
4.1 Abstract 119
4.2 Introduction 120
4.3 Materials and Methods 123
4.3.1 Materials 123
4.3.2 Weak cation exchange (WCX) chromatography 123
4.3.3 LC-MS analysis of reduced antibody 123
4.3.4 Fractionation of Acidic Species 124
4.3.5 Tryptic digestion 124
4.3.6 LC-MS analysis of peptides 125
4.3.7 in vitro incubation of Monoclonal antibody with ascorbic acid 125
ix
4.3.8 Regio-labeled ascorbate to elucidate the mechanism of the modification 126
4.4 Results and Discussion 127
4.4.1 Ascorbate supplement in cell culture induced new acidic variants 127
4.4.2 Reduced LC/MS analysis of antibody stored in ascorbate buffer 129
4.4.3 Tryptic mapping and LC/MS/MS detection 134
4.4.4 Elucidation of the modification agent as xylosone 148
4.4.5 Incubation of antibody with 13
C Regio-labeled ascorbate 150
4.4.6 Chemical Nature of the Modifications 154
4.4.7 Cell Culture Media Additives 158
4.4.8 Acidic Species 161
4.5 Conclusions 161
References 163
Chapter 5 Perspectives and Future Directions 168
5.1 Perspectives and Future Directions 168
5.2 References 173
x
List of Schemes
Scheme 2-1: Chemical modification of arginine by methylglyoxal (MGO). 48
Scheme 3-1: (I) Formation of a citric acid anhydride intermediate from citric acid and the
subsequent reaction of the N-terminal amine with the anhydride. 95
Scheme 4-1: The formation of xylosone from ascorbic acid and subsequent reaction with
susceptible primary amines. 149
Scheme 4-2: Reaction scheme of cyclic xylosone with a protein primary amine. 156
Scheme 4-3: Reaction scheme of acyclic xylosone with a protein primary amine. 157
xi
List of Tables
Table S2-1: Results of manual search of methylglyoxal modified peptides found in the
recombinant antibody. 84
Table 3-1: The percentage of citric acid modification found in the N-terminus in different
antibodies. 110
Table 4-1: Peptides identified with modifications by xylosone. 135
Table 4-2: List of relevant cell culture media compounds. 159
xii
List of Figures
Figure 1-1: Representation of some common post-translational modifications which may
occur in recombinant monoclonal antibodies. 2
Figure 1-2: Structures of free thiols found in biological systems including recombinant cell
culture. 4
Figure 1-3: Formation of homocysteine thiolactone and the subsequent product with
susceptible lysine residues. 6
Figure 1-4: Mechanism of glycation. 10
Figure 1-5: Common advanced glycation end products derived from glucose. 12
Figure 1-6: The product of a reaction between lysine and 1,3-bisphosphoglycerate. 14
Figure 1-7: The structures of reactive electrophiles following lipid peroxidation. 16
Figure 1-8: The structure of cysteine, cys-sulfenic acid amd cys-sulfinic acid. 19
Figure 2-1: WCX chromatogram of the recombinant monoclonal antibody after protein A
purification (top and bottom traces were from cell culture M (modified) and N (normal),
respectively, at day 9). 55
Figure 2-2: Deconvoluted mass spectra of the light chain and heavy chains in fraction 1 and
fraction 2. 56
Figure 2-3: Representative MS/MS mass spectra of peptides modified by MGO. 59
Figure 2-4: WCX chromatogram of a purified Lys-0 antibody incubated with and without
authentic MGO. 63
Figure 2-5: Peak intensity of all methylglyoxal-modified peptides generated by Lys-C
digestion of fraction 1 and fraction 2. 66
Figure 2-6: Calculated pKa of the core group of arginine and the two products of arginine
modification by methylglyoxal. 69
Figure 3-1: The weak cation exchange chromatogram of the recombinant monoclonal
antibody formulated with and without citrate. 97
Figure 3-2: Mass spectra of the light chain from reduced LC/MS analysis. 99
Figure 3-3: HPLC-MS analysis of a tryptic digest of the recombinant monoclonal antibody A following storage at 40 ºC for 6 months in citrate buffer pH 5.2. 102
xiii
Figure 3-4: De novo sequencing of doubly charged peptides corresponding to unique m/z’s of
2052.91 (Middle pane) and 2034.90. 103
Figure 3-5: MS/MS spectra of Antibody A light chain N-terminal peptide for the native, +174
Da, +156A Da, and +156B Da citrate modifications. 104
Figure 3-6: The weak cation exchange chromatogram of Antibody A incubated in with citric
acid (formulation and buffer alone). 107
Figure 4-1: WCX-10 chromatograms of the recombinant monoclonal antibody control (top,
no ascorbic acid) and supplemented with 0.1, 1 and 3 mg/mL of ascorbate in cell culture,
respectively. 128
Figure 4-2: Light Chain spectra from reduced LC/MS analysis of unfractionated Antibody A.
131
Figure 4-3: LC/MS analysis of the recombinant monoclonal antibody light chain after
reduction of antibody. 132
Figure 4-4: Deglycosylated heavy chain spectra from reduced LC/MS analysis of fractionated
Peak A. 133
Figure 4-5: Extracted ion chromatograms (XIC) from the recombinant monoclonal antibody
tryptic map corresponding to the doubly charged light chain N-terminal peptide and N-terminal
peptides with +148 Da and +130 Da adducts. 136
Figure 4-6: The MS/MS spectra of the light chain N-terminal tryptic peptides from Peak A
fractionated from the recombinant monoclonal antibody supplemeted with 3 mg/mL ascorbate.
137
Figure 4-7: Extracted ion chromatograms from the heavy chain N-terminal peptide. 139
Figure 4-8: MS/MS spectra from the heavy chain N-terminal peptide. 140
Figure 4-9: Extracted ion chromatograms of a lysine containing peptide. 141
Figure 4-10: MS/MS spectra of a lysine containing peptide. 142
Figure 4-11: Relative susceptabilities of representative peptides modified by xylosone. 143
Figure 4-12: Comparison of XIC from xylosone modified N-terminal peptides from light chain
formed during cell culture and during in vitro incubation with ascorbate. 145
Figure 4-13: Comparison of XIC from xylosone modified N-terminal peptides from heavy
chain formed during cell culture and during in vitro incubation with ascorbate. 146
xiv
Figure 4-14: Reduced LC/MS of light chain incubated with xylosone over time. 147
Figure 4-15: A: Structures of the four different isotopic isoforms of ascorbate used to probe the
structure of the +130 Da and +148 Da adducts. 151
Figure 4-16: MS/MS spectra of light chain modified by xylosone derived from ascorbic acid or
ascorbic acid with 13C at C1, C2 or C3, respectively. 152
Figure 4-17: MS/MS spectra of light chain modified by xylosone derived from ascorbic acid or
ascorbic acid with 13
C at C1, C2 or C3, respectively. 152
xv
List of Abbreviations and Symbols
13C
13C labeled carbon
1.3-BPG 3-bisphosphoglycerate
4-HNE 4-hydroxynonenal
AGE advanced glycation end products
Arg arginine
Asn asparagine
Asp aspartic acid
C18 octadecylsilane
CDR1 complementary determining region 1
CDR2 complementary determining region 2
CDR3 complementary determining region 3
CH1 Constant heavy domain 1
CH2 Constant heavy domain 2
CH3 Constant heavy domain 3
CHO Chinese hamster ovary
CID Collision induced dissociation
Cys cysteine
Da Dalton
DDA data dependent acquisition
DHAP dihydroxy acetone phosphate
DTT Dithiothreitol
EIC extracted ion chromatogram
FA formic acid
G-3-P glyceraldehyde-3-phosphate
Gln glutamine
Glu glutamic acid
GRAS generally regarded as safe
G0F core fucosylated biantennary glycan with 0 terminal galactose
HC heavy chain
HCl hydroch
HCD hard collision dissociation
IgG1 immunoglobulin G
isoD isoaspartic acid
isoAsp isoaspartic acid
kDa kilodalton
LC light chain
LC/MS liquid chromatography/mass spectrometry
Lys-0 antibody with 0 C-terminal lysine
Lys-1 antibody with 1 C-terminal lysine
Lys-2 antibody with 2 C-terminal lysine
Lys-C endoproteinase Lys-C
mAbs monoclonal antibodies
mg milligram
m/z mass to charge ratio
mL milliliter
xvi
MaxEnt Maximum Entropy
MGO methylglyoxal
MOLD methylglyoxal lysine dimer
MS/MS tandem mass spectrometry
MWCO molecular weight cut off
nm nanometer
nM nanoMoles
pgk 3-phosphglycerol lysine
PNGaseF protein N-glycanase
PTM posttranslational modification
Pyro-Glu pyroglutamate
R arginine
Q1 quadrupole 1
Q2 quadrupole 2 (collision cell)
Q-Tof quadrupole-time of flight mass spectrometer
ROS reactive oxygen species
TFA trifluoroacetic acid
TIC total ion current
tRNA transfer ribonucleic acid
UPLC ultra high pressure liquid chromatography
UV ultraviolet
VH variable heavy domain
WCX weak cation exchange chromatography
XIC extracted ion chromatogram
1
Chapter 1: Introduction and Background
1.1 Introduction
Recombinant monoclonal antibodies have become one of the most important classes of
biotherapeutics due to their target specificity and the ease of manufacture using standard
protocols1-2
. Thus, they have been widely studied due to their tremendous growth and
applicability across broad therapeutic areas3. As a consequence, the field of bioanalytical
chemistry as it applies to the analysis and characterization of these proteins has evolved
significantly over the last twenty years. In particular, techniques which delve into the primary,
secondary, tertiary and quaternary structure have uncovered many chemical changes which occur
due to multiple factors.
There are four sub-classes of immunoglobulin G, however, the most common sub-class
used in the generation of antibody drugs is IgG1. Recombinant monoclonal antibodies are
comprised of two heavy chains and two light chains which are assembled together by four
interchain disulfide bonds. The heavy chain is comprised of four immunoglobulin domains
stabilized by intrachain disulfide bonds. Three of these domains (CH1, CH2 and CH3) are
conserved and the binding domain is variable (VH) with the greatest variability occurring in the
binding regions known as the complementary determining regions or CDR1, CDR2 and CDR3.
In addition, the heavy chain has a glycosylation site in the CH2 domain. The presence of this
glycosylation serves to provide stability to the domain and may influence the domain
conformation4. The light chain consists of a variable and constant domain, the VL and CL,
respectively. The heavy chain is approximately 450 amino acids in length and the light chain is
2
approximately 215 amino acids in length. The structure of a recombinant monoclonal antibody
is depicted in Figure 1-1.
Figure 1-1: The structure of a recombinant monoclonal antibody
CH1
VH
CL
VL
CH2
CH3
CDRs
Heavy Chain
LightChain
N-linked glycosylation
Inter-chain disulfide bonds
Fc Region
Fab Region
3
Recombinant monoclonal antibodies are far more complicated than small molecule drugs
due to the sheer size plus additional posttranslational modifications. Such modifications may be
driven enzymatically or chemically and increase the molecular heterogeneity of recombinant
mAbs. These are discussed in detail in several recent reviews5-8
and include but are not limited
to deamidation9-14
, glycation15-20
, incomplete C-terminal lysine processing21-25
, N-linked
glycosylation26-34
and O-linked glycosylation35-40
, C-terminal amidation41
, oxidation42-45
and N-
terminal pyroglutamate formation5-8, 13, 46-51
. Representative posttranslational modifications are
depicted in Figure 1-2.
Recent reports have elucidated a new classification of posttranslational modification by
endogenous reactive molecules. In general, these are far less studied with respect to protein
analysis of recombinant biotherapeutics. Such species may be reactive metabolites, unreactive
species capable of forming a reactive intermediate or molecules which may degrade into reactive
species. In addition, such posttranslational modifications may be the result of the intracellular
conditions such as those which lead to reactive oxygen species (ROS).
4
Figure 1-2: Representation of some common post-translational modifications which may occur
in recombinant monoclonal antibodies.
5
1.2 Reactive Species
1.2.1 Free Thiols
One of the most familiar classes of reactive molecules is the free thiols52-53
. Reduced
thiols are very potent nucleophiles which are capable of forming disulfide bonds with other free
thiols in proteins or with intact disulfide bonds thereby disrupting the intended cysteine pairing
and inducing a scrambling event52-54
. Examples of products of free thiols include
cysteinylation55-57
and glutathionylation58-59
. Common free thiols are shown in Figure 1-3. The
reaction of one of these species with a catalytic cysteine resulting in a disulfide bond will ablate
protein function56, 60-61
. In addition, free thiols may promote disulfide bond scrambling which
has the potential of destabilizing the protein or altering its structure62-63
. In all of these cases, an
increase in molecular weight will be observed imparted by the addition of these reactive species.
6
Figure 1-3: Structures of free thiols found in biological systems including recombinant cell
culture.
7
1.2.2 Homocysteine thiolactone and N-Homocysteinylation
A precursor to cysteine biosynthesis is homocysteine which may either form methionine
following methylation or cystathionine, the precursor of cysteine, following a vitamin B6
mediated complex with serine64
. In addition to its potential to react with free cysteines within
the primary structure of a protein65
, it may also be transformed into homocysteine thiolactone
through the action of methyonyl tRNA synthetase66-67
(see Figure 1-4). Homocysteine
thiolactone may then react with primary amines in a protein, specifically lysine, resulting in N-
homocysteinylation which modifies the side chains of lysine and increases the mass by 117
daltons66-67
.
8
Figure 1-4: Formation of homocysteine thiolactone and the subsequent product with susceptible
lysine residues.
9
1.2.3 Glycation
Carbohydrates may react with proteins when their reducing end (electrophic aldehyde)
encounters a reactive primary amine to form a Schiff base (aldimine) as shown in Figure 1-515-16
.
An Amidori rearrangement will form a stable ketoamine exhibiting a mass increase of 162
daltons16, 68
. Although some level of glycation is unavoidable because glucose is added to the
cell culture as a primary energy source, the tertiary structure of the protein may facilitate the
Amidori rearrangement and lead to significant levels of glycation15
. To this point, reports of
histidine residues16
and acidic residues15
facilitating glycation suggest their side chains may
promote the abstraction of a proton from the glucose C2 atom which initiates a rearrangement of
the aldimine to a more stable ketoamine.
Glycation has also been reported when glucose was used in the formulation of a
biotherapeutic molecule69
. More surprisingly, glycation was associated with a protein drug
which was formulated in sucrose70-71
. In these reports, the glycosydic bond between the fructose
and glucose sub-units was hydrolyzed during storage thus freeing the reducing end of glucose
and enabling glycation to occur. Thus, glycation resulted from an unexpected source.
10
Figure 1-5: Mechanism of glycation. The epsilon primary amine of lysine attacks the reducing
end of glucose forming a Schiff base following dehydration. An Amidori rearrangement
produces the more stable ketoamine.
11
1.2.4 Advanced Glycation Endproducts
Advanced glycation end products (AGE) are another set of reactive molecules derived
from glucose which may contribute to molecular heterogeneity72
. Advanced glycation end-
products have their analytical roots based in the analysis of blood samples from patients with
diabetes73
. High glucose levels facilitate their formation74
. An increase in the oxidative stress
exerted on the cell may promote the formation of AGE’s as this may retard the glyoxylase I/II
pathway due to reduced glutathione75
. Common AGEs are shown in Figure 1-5 (I).
Specifically, methylglyoxal and glyoxal have been associated with chemical
modifications of proteins74, 76-77
. Methylglyoxal is a by-product of glycolysis75
. The two
glycolytic intermediates of the catalysis of fructose bisphosphate aldolase are glyceraldehyde-3-
phosphate (G-3-P) and dihydroxy acetone phosphate (DHAP)78
. If DHAP loses its phosphate
group before the catalysis of triose phosphate isomerase can occur then methylglyoxal will form.
In addition to arginine residues, MGO has been shown to have reactivity with lysine and cysteine
residues albeit to a lesser extent79
. Advanced glycation end products have been implicated in
protein cross-linking between arginine and lysine residues resulting in a pentosidine or between
two lysine residues forming a methylglyoxal lysine dimer (MOLD)80
. Representative products
of AGEs and protein are shown in Figure 1-6 (II).
12
Figure 1-6: I. Common advanced glycation end products derived from glucose. II.
Representative products of AGE’s with nucleophilic amino acid side chains.
13
1.2.5 1,3-Bisphosphoglycerate
The possibility that other reactive intermediates or metabolites prevalent in biological
systems may contribute to new posttranslational modifications is an intriguing one.
Interestingly, 1,3-bisphosphoglycerate (1.3-BPG), the glycolytic intermediate generated from the
catalysis of glyceraldehyde-3-phosphate dehydrogenase has been reported as another example of
a reactive metabolite81
. 1,3-BPG is a strong electrophile due to its acylphosphate moiety81-82
.
Specifically, 1,3-BPG has been shown to react with the lysine primary amine forming 3-
phosphglycerol lysine (pgk) as shown in Figure 1-7.
14
Figure 1-7: The product of a reaction with 1,3-bisphosphoglycerate and the epsilon primary
amine of lysine.
15
1.2.6 Peroxides and Lipid Peroxidation
Other examples of reactive electrophiles in biological systems are the products of lipid
peroxidation83
. Oxidative stress may lead to an increase in reactive oxygen species.
Consequently, peroxides have been shown to react with unsaturated fats forming a variety of
reactive electrophiles84-85
. The nucleophilic side chains of cysteine, histidine and lysine have
been reported to react with these species through Michael addition resulting in carbonylation86-87
.
Specifically, protein modifications by reactions with 4-hydroxynonenal (4-HNE),
malondialdehyde and oxononenal (see Figure 1-8) have been reported88-92
. Such modifications
may be far more ubiquitous following oxidative stress than previously thought. Recombinant
monoclonal antibodies which recognize protein adducts formed by these reactive electrophiles
have proven to be a valuable tool93-94
.
16
Figure 1-8: I. The structures of reactive electrophiles following lipid peroxidation. These
species may react with the side chains of lysine, cysteine and histidine. II. The product of
cysteine side chain attack on the electrophilic center of 4-HNE.
17
1.2.7 Peroxide-mediated Sulfenylation
Related to oxidative stress and the production of reactive oxygen species is peroxide-
mediated sulfenylation of free cysteine residues95
. Hydrogen peroxide may react with free
sulfhydryls to form Cys-sulfenic and Cys-sulfinic acid96-97
(see Figure 1-9). The formation of
these posttranslational modifications has emerged as another signaling mechanism available to
biological systems analogous to phosphorylation95
. These species have proven to be labile and
thus difficult to measure using today’s analytical approaches98
, thereby requiring the
implementation of selective trapping reactions for their detection. Specifically, trapping of
sulfenylated products may be achieved by stabilization with dimedone or iododimedone99
. The
stabilized products have subsequently been analyzed by proteomics workflows. These labile
PTM’s remind us that
1.2.8 The complexity of a biological system
Biological systems are extremely complicated with countless chemical processes in
constant flux. In addition, changes in the external environment can induce major shifts in the
cellular metabolic flow. It would be a Herculean feat to catalogue all of these processes and in
turn identify a comprehensive list of all reactive molecules and species. What is possible,
however, is to gain an understanding of general chemical reactivity that may occur between
proteins and chemical functionalities. By taking a diligent approach and open mind towards
seemingly insignificant changes in standard analytical assessments, analytical protein scientists
can continue to expand the list of these variants and their underlying chemistry. The discovery
of chemical modification which may impact the function of the therapeutic or increase the risk of
18
immunogenicity can mitigate potential risks to patients and ensure that biopharmaceutical
companies release drugs which meet the highest product quality.
19
Figure 1-9: The structure of cysteine, cys-sulfenic acid, cys-sulfinic acid and cys-sulfonic acid.
20
1.2.9 Intracellular influences and Reactive Oxygen Species
The intracellular environment of CHO cells has been implicated in the formation of
reactive oxygen species (ROS). Reactive oxygen species are normal by-products of cellular
metabolism100
. Specifically, the formation of superoxide in the mitochondria has been linked to
the presence of enzymes that can donate electrons to O2 thus forming O2·- (superoxide)
101. For
such transformations, the ratio of NADH/NAD+ is elevated facilitating an increase in the
abundance of enzymes reacting with O2. During periods of cellular stress, the levels of ROS
may increase dramatically102
. Reactive oxygen species have been associated with damage to
DNA, RNA, and proteins103
. In addition, reactive oxygen species have been linked to lipid
peroxidation and advanced glycation end products104-105
.
At high ROS levels, cells produce more glutathione and thioredoxin that can act to
scavenge reactive oxygen species106
. These mechanisms are regulated by the intracellular redox.
Specifically, glutathione disulfide and thioredoxin cannot control ROS accumulation, thereby
further raising ROS levels that lead to cellular damage. Upon oxidative stress, the cell will
attempt to convert GS-SG to GSH to increase antioxidant reserves. Enzymes such as glutathione
reductase facilitate this transformation107
.
Cysteine starvation has been linked to glutathione deficiency108
. The cysteine moiety is
the functional residue within glutathione making it a critical component. A lack of intracellular
cysteine due to cellular starvation thus leads to a depletion in glutathione. As a result, the levels
of intracellular ROS may increase.
Both glutathione depletion induced by high levels of reactive oxygen species and cysteine
starvation resulted in a similar cell culture phenotype. Both have a clear role with respect to the
accumulation of reactive oxygen species. In addition, both of these events may be directly
21
related where lower cysteine levels but not necessarily achieving complete starvation coupled to
increased demand of glutathione due to ROS can lead to a depletion of cysteine, glutathione or
both. As a result of these factors, the glyoxylase I/II pathway will be down regulated thereby
increasing cellular levels of methylglyoxyl109
.
The implementation of a chemically defined media, which is discussed in Chapter 2,
could play a role in either of these scenarios. Cellular starvation and cysteine depletion induced
by insufficient media components in a chemically defined media may explain depletion of
glutathione and thus the retardation in the glyoxylase I/II pathway. In addition, chemically
defined media has been shown to induce higher cell densities thus increasing the overall culture
metabolic demands. In these cases, the culture exhibited signs of oxidative stress and increased
reactive oxygen species. The formation of ROS may have been a result of cellular starvation or
may have directly induced through a futile attempt to arrest the oxidative stress leading to
depletion of reduced glutathione and cysteine. More studies would be necessary to better
understand how either of these scenarios contributes to the formation of methylglyoxal.
1.2.10 Detecting the Unexpected
All of these examples remind us that reactive molecules may arise from an unexpected
source and facilitate an increase in unwanted protein modifications.. Accordingly, the chemical
modification of a recombinant monoclonal antibody presents new challenges to the
biotechnology industry. These therapeutic ‘magic bullets’ are destined for administration to
patients therefore their subsequent product quality is held to a high bar. Even low levels of
heterogeneity may be problematic to the patient due to loss of potency, increased risk of
immunogenicity, or both. Chemical modifications to the complementary determining regions
22
can ablate antibody function. In addition, these chemical modifications are not limited to the
expressed biotherapeutic, albeit, they will exist as the most abundant protein in the cell culture.
Key host cell proteins may also be affected by modification of these reactive molecules. Such
events can affect the overall health and expression levels of the cell culture. It is therefore
important to understand the underlying product quality and to extrapolate root cause from the
analytical observations.
23
1.3 Analytical Strategies to Discover the Unexpected
1.3.1 Analytical Detective Work
Todays’ analytical strategies are well suited to perform deep characterization of proteins
and protein drugs. Technologies such as mass spectrometry, liquid chromatography and
capillary electrophoresis are capable of measuring very subtle differences in the primary
structure of a recombinant monoclonal antibody. Applied work flows consisting of
complimentary methodologies can be used to uncover molecular heterogeneity and root cause
through a stepwise approach. Specifically, chromatographic approaches can separate a
recombinant monoclonal antibody with a chemical modification from the native antibody.
Subsequently, analytical tools may be applied to understand the nature of the variant. Of all
these tools, mass spectrometry has emerged as the most powerful analytical tool enabling the
assessment of the entire primary structure of a recombinant monoclonal antibody. Discrete
changes can be determined at the residue level facilitating the identification of new discoveries in
this important class of biotherapeutics.
1.3.2 Weak Cation Exchange Chromatography
Proteins have a global charge which is due to the cumulative effects of its protonated
basic residues and its deprotonated acidic residues in the primary structure and is represented as
the isoelectric point. The pH and local environment can influence these charges. Additionally,
one must distinguish between those charged residues which are located on the surface of the
protein and thus exposed. In addition to local environment, chemical modifications can
influence the surface charge of the protein6, 8, 20
. For instance, if a basic amino acid is covalently
modified, the side chain pKa may become depressed potentially leading to a deprotonation at
24
that site16, 66
. A protein in this scenario would exhibit a reduced number of basic charges on its
surface.
A very powerful technique in discerning changes in a recombinant monoclonal antibody
primary structure is weak cation exchange chromatography21, 25
. Weak cation exchange columns
contain polymeric beads coated with carboxylate groups110
. It is the electrostatic interaction
between protonated basic residues on the protein surface (lysine, arginine, histidine) and these
carboxylates which cause the protein to bind to the column. At first glance, it appears to be a
low resolution technique as compared to today’s modern mass spectrometry workflows.
However, it is remarkably sensitive to any site specific changes in the number of surface charges
on the antibody. For instance, it has been shown that a single site of glycation on a hyper-
susceptible lysine in a recombinant monoclonal antibody resulted in a decrease in pI presumably
due to the loss of this protonation site15
.
The interpretation of low levels of a chemical modification is hampered by the presence
of the acidic species which comprise a highly heterogeneous population5-6, 8, 19, 21
. Contributors
include terminal sialylation39, 111-113
, asparagine deamidation13-14
, and glycation15-16
just to name a
few. The appearance of a new species may exist as a slight increase in the UV profile which
may be difficult to discern from the already complex unresolved chromatographic region. In
addition, it may be challenging to differentiate an unresolved low abundance chromatographic
peak from differences due to fluctuations in the chromatographic performance.
Often, a variant may only exist in trace amount making the discovery and analysis of the
variant difficult. Isolating minor peaks or regions of subtle changes in the chromatographic
separation has proven to be a valuable strategy.43, 114
. A specific region which may be changing
can be isolated for subsequent analysis by mass spectrometry. In this way, the overall
25
complexity will be reduced and the variant which maybe present can be enriched. It is important
to note that other endogenous contributors within this region may also be present therefore it is
prudent to compare LC/MS spectra against a control. Additionally, the shift in the retention time
may provide clues about the distribution of a modification on a recombinant monoclonal
antibody114
. For example , if more than one peak is isolated, the relative retention time shifts and
corresponding levels of a variant may begin to establish the effects that multiple modifications
may have on the surface charge.
1.3.2 Reduced Liquid Chromatography/Mass Spectrometry
Reduced LC/MS analysis is a key step in determining root cause of differences observed
in the weak cation exchange chromatogram. The antibody sample is treated with a reducing
agent such as 10 mM DTT which breaks the interchain disulfide bridges between the heavy and
light chains. The sample is introduced into the mass spectrometer using reversed phase
chromatography which will resolve the light chain from the heavy chain. Within the
electrospray source, the sample will become desolvated and stripped of negative counter ions to
enhance ionization. A quadrupole-time of flight mass spectrometer (Q-Tof) used in MS mode
will measure a distribution of multiply charged species corresponding to the eluting light chain
or heavy chain. The spectral pattern is deconvoluted using the Maximum Entropy (MaxEnt)
algorithm which reconstructs the single charged spectrum.
The technique provides the molecular weight of the recombinant monoclonal antibody
light chain and heavy chain as well as any other molecular weights due to the modifications
associated with the primary structure. For example, mass shifts of +16 daltons or +162 daltons
can be attributed to the formation of methionine sulfoxide43
or glycation16
, respectively. In
26
addition, there are databases which exist and have extensive lists of changes in mass and a
reported root cause. Two such databases are Deltamass
(http://www.abrf.org/index.cfm/dm.home) and Unimod (http://www.unimod.org). It is possible
to make an initial assignment to an observed variant based on mass shift especially if the analysis
was performed on a high mass accuracy instrument.
1.3.4 Spiking Studies with Putative Reactive Species
From a quote; “analytical scientist are good at finding what they know”. This statement
is quite true. In other words, it is easy to find something if you know what to look for.
However, should the observed mass shift in the recombinant protein drug be unfamiliar and not
easily recognized, then identifying the underlying change to the primary structure can be quite
challenging. It is now up to the analytical scientist to perform some detective work and try to
pinpoint specific differences which may have occurred in the recombinant monoclonal antibody
during cell culture or long term storage.
One must keep an open mind when it comes to such challenges. If a potential candidate,
i.e., reactive species, can be identified from what is known about the changes in molecular
weight and the conditions from the cell culture, storage, etc, then a spiking study of the candidate
or panel of candidates may be performed. Specifically, if the reactive molecule or its stable
precursor is available, it can be spiked into a pure sample of the recombinant monoclonal
antibody. In practice, the ideal species of this “pure sample” will be the major peak which
typically consists of the recombinant monoclonal antibody without C-terminal lysine on both of
its heavy chains and devoid of the acidic species. Following an appropriate incubation with the
27
spiked agent, the sample may be analyzed by weak cation exchange chromatography and by
reduced LC/MS. The results can be compared to the initial observations. In addition, any shifts
in the chromatographic profile may be directly attributed to changes in the primary structure
induced by the presence of the spiked agent. If the retention times between the initial sample
which showed subtle changes and the stressed sample are in good agreement, the possibility
increases that this reactive molecule is the root cause.
1.3.5 Peptide Mapping with Mass Spectrometry
A peptide map is often referred to as the protein fingerprint. The digestion of a reduced
and alkylated recombinant monoclonal antibody with a highly specific protease will generate a
predicatble and reproducible peptide map. Trypsin is commonly used to digest the reduced and
alkylated protein at the C-terminus of lysine and arginine residues generating peptides which can
be separated on a reversed phase C18 (octadecylsilane) column. High efficiency separations
may be achieved by using small particle size (1.7 µ) and the application of ultra-high pressure
liquid chromatography (UPLC). The peptides will be separated based on their relative
hydrophobicity as the percent of organic mobile phase increases. Eluting peptides may be
detected by UV absorbance at 214 nm before being introduced into the electrospray source.
Q-TOF and LTQ-Orbitrap mass spectrometers may be used to perform peptide mapping.
Both of these instruments are capable of performing MS and MS/MS. In MS full scan mode, Q-
TOF type instruments direct the ion flow through the first quadrupole and collision cell to a
pusher where the ions are cooled. The pusher then repells the ion packet into the time of flight
tube where following a refocusing in the reflectrons, they are directed to the detector. The
28
software measures the time the ions were in flight to determine the mass using the formula:
KE=1/2mv2. In MS/MS mode, typically data dependent acquisition (DDA) is used. A defined
number of the most abundant ions (e.g. 5) are each isolated by the quadrupole or Q1 region. The
isolated ion passes to the collision cell or Q2 where it encounters inert argon. Collisions with the
inert argon cause the peptides to lose residues from the C-terminus or N-terminus resulting in b
ions or y ions, respectively. Energy may be applied to accelerate the ions through this region to
induce greater fragmentation. The fragmented peptide is once again detected in the TOF. The
fragmentation pattern may be compared to a predicted pattern either manually or with processing
software, which can determine the amino acid sequence of the peptide. The same process will be
applied to the second most intense ion and so forth until all five have been measured. These ions
may be excluded from the determination of the next 5 most abundant ions in order to evaluate
less abundant peptides.
Using an LTQ-Orbitrap platform in a high resolution mode, the ions are passed through
the linear ion trap and accumulate in the C-trap. The ions are then directed into the orbitrap
where the ions orbit and oscillate around a central electrode. Once the ions have achieved the
specific orbit based on their mass to charge ratio, the ions are directed to the detector. A fourier
transformation is applied to the data which is used to construct the peptide mass spectra. For
MS/MS, data dependent acquisition may also be applied. One at a time, the most abundant
peptides are isolated sequentially using the linear ion trap. Each ion is then fragmented in the ion
trap by increasing the applied energy resulting in collisionally induced dissociation. The
fragments are then directed into the C-trap for subsequent entry into the orbitrap. The fragments
are separated and detected. This mode of MS/MS sometimes provides better b ion coverage that
with the use of a collision cell but suffers from the one third rule. To this point, the LTQ-
29
Orbitrap Velos has an additional collision cell analogous to that discussed with the Q-TOF and
fragments parent ions by collision with inert gas molecules (denoted as hard collisionally
induced dissociation by the manufacturer). Furthermore both of the activation modes may be
used in a single analysis. In this configuration, one could perform alternating CID and HCD
fragmentation so as to have complimentary fragmentation patterns significantly improving the
depth of the data. Of course, the drawback of this approach is that it reduces the number of
MS/MS scans which may be acquired over a given time frame.
The peptide mapping data may be examined chromatographically by evaluating the UV
and TIC traces for obvious differences. Of course, evaluating the mass data provides the most
pertinent information with regards to changes in the primary structure of the recombinant
monoclonal antibody, however, often necessitates a detailed search of the suspected mass shift.
The data may be submitted to a search algorithm which seeks to measure and assign amino acid
sequences to the fragmentation pattern. In addition, if part of the primary structure is evident in
a pattern but there is a mass shift, the software will attempt to assign a defined variant to a
specific residue in the peptide. Carboxymethylation of cysteine residues is a typical example of
this. The one limitation to using this strategy to assign variants is that you must A priori assign
what potential variants you may expect to see. Assigning oxidation to methionine, deamidation
to asparagine, or glycation to lysine are some common applications of this approach. The big
challenge is that if you are working with an unknown variant, you do not know its mass and you
do not know the susceptible residues in the primary structure.
To the previous point, localizing the target residue of the modification may be the most
critical step in determining the source of the observed heterogeneity. Many of the computational
search engines require that you set a target residue and the expected mass shift. If the analytical
30
scientist has a good idea of what the adduction may be then speculating the target residue or
residues based on nucleophilicity and other favorable chemical properties may be possible.
Performing a non-specific search will be quite computationally intensive and often provides so
many false positives that the data loses value.
Sometimes it is prudent to perform a manual search for peptides which may exhibit the
observed mass shift from previous analytics. This can take time, but if identification can be
made, it results in significant progress to solving the source of the modification. Once the site of
modification is determined, the chemistry of the candidate reactive molecule and residue can be
hypothesized. The chemical modification will likely increase the overall size of the target
residue. If lysine or arginine are modified the reactive molecule, the steric effects of the
molecule will likely occlude the residue from the trypsin active site. Therefore, if lysine or
arginine residues are suspected as the site of modification, miscleaved tryptic peptides must also
be considered. In addition, alternate proteases may be employed with different specificity than
trypsin resulting in fully cleaved peptides. Being able to make a direct comparison between the
native and modified peptide is vital to gaining any quantitative information. This is not possible
when trying to compare a modified miscleaved peptide to fully cleaved unmodified peptides.
1.3.6 Agreement between the spiked agent and the initial findings
Once the site of the unknown modification has been determined and a likely candidate
has been identified, it is important to apply the analytical strategies to determine if all of the
generated data is in good agreement. Of course, all of these techniques should be applied to both
the spiking studies. The generation of a more pronounced peak in the weak cation exchange
31
chromatogram which has high similarity to the initial observations provides evidence the spiked
agent has the same influences on charge as the unknown species.
The mass spectral data will be of particular value in assessing the similarities between the
unknown and the forced product. Specifically, the MS and tandem MS data should be compared
between the two with an emphasis on mass accuracy and spectral profile. For instance, highly
similar fragmentation profiles between the same peptide from both conditions suggest that not
only do two samples have the same primary structure but that both have the same site of
modification. In addition, the modification may influence the fragmentation and ionization of
specific ion series. Specifically, modification of arginine residues by malondialdehyde resulted
in a fragmentation pattern that was rich in B ions due to the influence the adduction had on the
peptide backbone115
. The generation of equivalent MS and MS/MS spectra provides solid
evidence that the spiked material is the reactive molecule which resulted in the variant.
1.3.7 Stable Isotope Labels
The use of a stable isotope labeled analog of the spiked agent can help to identify
conclusively the source of a chemical modification in the recombinant monoclonal antibody.
The incorporation of the heavy label serves to unambiguously assign a specific molecule as the
source of the adduction. This technique can be particularly powerful because the labeled
molecule may co-elute with the reactive species due to their equivalent chemical properties but
can easily be discerned by a mass spectrometer. Stable isotope labeling has proven valuable in
the identification of a glycation site using heavy labeled glucose116
. In addition, cross-linked
peptides were identified apriori by using the incorporation of 18
O during the digestion process117
.
32
1.3.8 Interpretation of all of the Findings
The final things to consider pertain to the origination of the reactive species and the
influence the cell culture conditions, storage conditions, etc. may have had on its appearance,
reactivity or both. Understanding the chemistry of the reactive molecule is a must. The
influence of redox and pKa on the reactive molecule and the recombinant monoclonal antibody
can not only help to elucidate the mechanism but may also provide clues about conditions which
can prevent the modification.
Understanding the global prevalence of the modification will not only add to the overall
knowledge of the reactive molecule but will also provide a better understanding to which
residues may be the most susceptible, ie reactive in the recombinant monoclonal antibody on a
broad basis. Such information can be applied to future studies as potential hotspots. Of
particular importance is the consideration of the Structure-Function relationship as it pertains to
the chemical modification. Variants which exist in the complimentary determining regions
(CDR’s) may ablate recognition of the epitope creating the most significant functional liabilities
therefore particular attention should be taken discerning the fidelity of these regions118-119
.
1.3.9 Summary
Altogether, a comprehensive analytical approach which utilizes techniques capable of
discerning minor changes in the primary structure along with state of the art mass spectrometry
techniques can provide an effective strategy in determining whether and unexpected change to
33
the primary structure has occurred. Enhanced understanding of the biology of the expression
system can provide for better guided hypotheses to what may be the underlying reasons for the
observed changes. The implementation of high resolution mass detectors, peptide mapping,
spiking studies, sample enrichment and stable isotope labeling can provide conclusive support
for the nature of an unknown variant. Lastly, communication of this information to the scientific
community will build the overall knowledge within the field and facilitate the identification of
these unwanted variants.
This dissertation presents the discovery of three unique chemical modifications which
occurred in a recombinant monoclonal antibody. These variants are all reported for the first time
with respect to recombinant protein drugs. In all three cases, the observed mass change was not
a familiar one, at least in the literature compiled for recombinant protein drugs. In addition, the
previously described analytical workflows were necessary to determine the nature and
prevalence of each of the specific variants. This work serves to expand the knowledge base of
protein modifications which can occur in protein drugs. In addition, it validates these analytical
strategies as viable approaches for assigning identities to ambiguous molecular weight variances.
Lastly, it underscores the utility of weak cation exchange chromatography. Although it is not a
high resolution method, its ability to discern minor changes in the protein drug is quite valuable
and an important first step in determining the true nature of changes to the primary structure.
34
1.4 References
1. O. Leavy, Therapeutic antibodies: past, present and future. Nat Rev Immunol 2010, 10.
297-297.
2. L. M. Weiner, R. Surana, S. Wang, Monoclonal antibodies: versatile platforms for cancer
immunotherapy. Nat Rev Immunol 2010, 10. 317-27.
3. A. C. Chan, P. J. Carter, Therapeutic antibodies for autoimmunity and inflammation. Nat
Rev Immunol 2010, 10. 301-16.
4. H. Liu, G. Gaza-Bulseco, T. Xiang, C. Chumsae, Structural effect of deglycosylation and
methionine oxidation on a recombinant monoclonal antibody. Mol Immunol 2008, 45. 701-8.
5. X. Z. He, A. H. Que, J. J. Mo, Analysis of charge heterogeneities in mAbs using imaged
CE. ELECTROPHORESIS 2009, 30. 714-722, DOI: 10.1002/elps.200800636.
6. H. Liu, G. Gaza-Bulseco, D. Faldu, C. Chumsae, J. Sun, Heterogeneity of monoclonal
antibodies. Journal of Pharmaceutical Sciences 2008, 97. 2426-2447, DOI: 10.1002/jps.21180.
7. S. Rosati, Y. Yang, A. Barendregt, A. J. R. Heck, Detailed mass analysis of structural
heterogeneity in monoclonal antibodies using native mass spectrometry. Nat. Protocols 2014, 9.
967-976, DOI: 10.1038/nprot.2014.057.
8. J. Vlasak, R. Ionescu, Heterogeneity of Monoclonal Antibodies Revealed by Charge-
Sensitive Methods. Current Pharmaceutical Biotechnology 2008, 9. 468-481, DOI:
10.2174/138920108786786402.
9. H. T. Wright, Nonenzymatic deamidation of asparaginyl and glutaminyl residues in
proteins. Crit Rev Biochem Mol Biol 1991, 26. 1-52.
10. T. Geiger, S. Clarke, Deamidation, isomerization, and racemization at asparaginyl and
aspartyl residues in peptides. Succinimide-linked reactions that contribute to protein degradation.
J Biol Chem 1987, 262. 785-94.
11. R. C. Stephenson, S. Clarke, Succinimide formation from aspartyl and asparaginyl
peptides as a model for the spontaneous degradation of proteins. J Biol Chem 1989, 264. 6164-
70.
12. S. Clarke, Propensity for spontaneous succinimide formation from aspartyl and
asparaginyl residues in cellular proteins. Int J Pept Protein Res 1987, 30. 808-21.
13. D. J. Kroon, A. Baldwin-Ferro, P. Lalan, Identification of sites of degradation in a
therapeutic monoclonal antibody by peptide mapping. Pharm Res 1992, 9. 1386-93.
35
14. D. Chelius, D. S. Rehder, P. V. Bondarenko, Identification and characterization of
deamidation sites in the conserved regions of human immunoglobulin gamma antibodies. Anal
Chem 2005, 77. 6004-11.
15. B. Zhang, Y. Yang, I. Yuk, R. Pai, P. McKay, C. Eigenbrot, M. Dennis, V. Katta, K. C.
Francissen, Unveiling a Glycation Hot Spot in a Recombinant Humanized Monoclonal
Antibody. Analytical Chemistry 2008, 80. 2379-2390, DOI: 10.1021/ac701810q.
16. C. Quan, E. Alcala, I. Petkovska, D. Matthews, E. Canova-Davis, R. Taticek, S. Ma, A
study in glycation of a therapeutic recombinant humanized monoclonal antibody: Where it is,
how it got there, and how it affects charge-based behavior. Analytical Biochemistry 2008, 373.
179-191, DOI: http://dx.doi.org/10.1016/j.ab.2007.09.027.
17. H. Kaneshige, Nonenzymatic glycosylation of serum IgG and its effect on antibody
activity in patients with diabetes mellitus. Diabetes 1987, 36. 822-8.
18. R. Dolhofer, E. A. Siess, O. H. Wieland, Nonenzymatic glycation of immunoglobulins
leads to an impairment of immunoreactivity. Biol Chem Hoppe Seyler 1985, 366. 361-6.
19. R. J. Harris, Heterogeneity of recombinant antibodies: linking structure to function. Dev
Biol 2005, 122. 117-27.
20. Y. Lyubarskaya, D. Houde, J. Woodard, D. Murphy, R. Mhatre, Analysis of recombinant
monoclonal antibody isoforms by electrospray ionization mass spectrometry as a strategy for
streamlining characterization of recombinant monoclonal antibody charge heterogeneity. Anal
Biochem 2006, 348. 24-39.
21. R. J. Harris, B. Kabakoff, F. D. Macchi, F. J. Shen, M. Kwong, J. D. Andya, S. J. Shire,
N. Bjork, K. Totpal, A. B. Chen, Identification of multiple sources of charge heterogeneity in a
recombinant antibody. Journal of Chromatography B: Biomedical Sciences and Applications
2001, 752. 233-245, DOI: http://dx.doi.org/10.1016/S0378-4347(00)00548-X.
22. R. J. Harris, K. L. Wagner, M. W. Spellman, Structural characterization of a recombinant
CD4-IgG hybrid molecule. Eur J Biochem 1990, 194. 611-20.
23. L. Wang, G. Amphlett, J. M. Lambert, W. Blattler, W. Zhang, Structural characterization
of a recombinant monoclonal antibody by electrospray time-of-flight mass spectrometry. Pharm
Res 2005, 22. 1338-49.
24. M. Perkins, R. Theiler, S. Lunte, M. Jeschke, Determination of the origin of charge
heterogeneity in a murine monoclonal antibody. Pharm Res 2000, 17. 1110-7.
25. L. C. Santora, I. S. Krull, K. Grant, Characterization of recombinant human monoclonal
tissue necrosis factor-alpha antibody using cation-exchange HPLC and capillary isoelectric
focusing. Anal Biochem 1999, 275. 98-108.
36
26. Z. Szabo, A. Guttman, T. Rejtar, B. L. Karger, IMPROVED SAMPLE PREPARATION
METHOD FOR GLYCAN ANALYSIS OF GLYCOPROTEINS BY CE-LIF AND CE-MS.
ELECTROPHORESIS 2010, 31. 1389-1395, DOI: 10.1002/elps.201000037.
27. D. Wang, M. Hincapie, T. Rejtar, B. L. Karger, Ultrasensitive Characterization of Site-
Specific Glycosylation of Affinity Purified Haptoglobin from Lung Cancer Patient Plasma Using
10 μm i.d. Porous Layer Open Tubular (PLOT) LC-LTQ-CID/ETD-MS. Analytical Chemistry
2011, 83. 2029-2037, DOI: 10.1021/ac102825g.
28. T. Mizuochi, T. Taniguchi, A. Shimizu, A. Kobata, Structural and numerical variations of
the carbohydrate moiety of immunoglobulin G. J Immunol 1982, 129. 2016-20.
29. R. B. Parekh, R. A. Dwek, B. J. Sutton, D. L. Fernandes, A. Leung, D. Stanworth, T. W.
Rademacher, T. Mizuochi, T. Taniguchi, K. Matsuta, et al., Association of rheumatoid arthritis
and primary osteoarthritis with changes in the glycosylation pattern of total serum IgG. Nature
1985, 316. 452-7.
30. J. M. Coco-Martin, F. Brunink, T. A. van der Velden-de Groot, E. C. Beuvery, Analysis
of glycoforms present in two mouse IgG2a monoclonal antibody preparations. J Immunol
Methods 1992, 155. 241-8.
31. D. A. Lewis, A. W. Guzzetta, W. S. Hancock, M. Costello, Characterization of
humanized anti-TAC, an antibody directed against the interleukin 2 receptor, using electrospray
ionization mass spectrometry by direct infusion, LC/MS, and MS/MS. Anal Chem 1994, 66. 585-
95.
32. F. H. Routier, M. J. Davies, K. Bergemann, E. F. Hounsell, The glycosylation pattern of
humanized IgGI antibody (D1.3) expressed in CHO cells. Glycoconj J 1997, 14. 201-7.
33. R. Jefferis, Glycosylation of recombinant antibody therapeutics. Biotechnol Prog 2005,
21. 11-6.
34. H. Leibiger, D. Wustner, R. D. Stigler, U. Marx, Variable domain-linked
oligosaccharides of a human monoclonal IgG: structure and influence on antigen binding.
Biochem J 1999, 338. 529-38.
35. M. L. Hagmann, C. Kionka, M. Schreiner, C. Schwer, Characterization of the F(ab')2
fragment of a murine monoclonal antibody using capillary isoelectric focusing and electrospray
ionization mass spectrometry. J Chromatogr A 1998, 816. 49-58.
36. M. W. Fanger, D. G. Smyth, The oligosaccharide units of rabbit immunoglobulin G.
Multiple carbohydrate attachment sites. Biochem J 1972, 127. 757-65.
37. T. Mizuochi, J. Hamako, K. Titani, Structures of the sugar chains of mouse
immunoglobulin G. Arch Biochem Biophys 1987, 257. 387-94.
37
38. D. R. Burton, Immunoglobulin G: functional sites. Mol Immunol 1985, 22. 161-206.
39. J. Zaia, Mass Spectrometry and Glycomics. OMICS : a Journal of Integrative Biology
2010, 14. 401-418, DOI: 10.1089/omi.2009.0146.
40. J. Zaia, Mass Spectrometry and the Emerging Field of Glycomics. Chemistry & Biology
2008, 15. 881-892, DOI: http://dx.doi.org/10.1016/j.chembiol.2008.07.016.
41. K. A. Johnson, K. Paisley-Flango, B. S. Tangarone, T. J. Porter, J. C. Rouse, Cation
exchange–HPLC and mass spectrometry reveal C-terminal amidation of an IgG1 heavy chain.
Analytical Biochemistry 2007, 360. 75-83, DOI: http://dx.doi.org/10.1016/j.ab.2006.10.012.
42. G. D. Roberts, W. P. Johnson, S. Burman, K. R. Anumula, S. A. Carr, An integrated
strategy for structural characterization of the protein and carbohydrate components of
monoclonal antibodies: application to anti-respiratory syncytial virus MAb. Anal Chem 1995, 67.
3613-25.
43. C. Chumsae, G. Gaza-Bulseco, J. Sun, H. Liu, Comparison of methionine oxidation in
thermal stability and chemically stressed samples of a fully human monoclonal antibody. J
Chromatogr B Analyt Technol Biomed Life Sci 2007, 850. 285-94.
44. X. M. Lam, J. Y. Yang, J. L. Cleland, Antioxidants for prevention of methionine
oxidation in recombinant monoclonal antibody HER2. J Pharm Sci 1997, 86. 1250-5.
45. L. E. M. Fernández, D. E. Kalume, L. Calvo, M. Fernández Mallo, A. Vallin, P.
Roepstorff, Characterization of a recombinant monoclonal antibody by mass spectrometry
combined with liquid chromatography. Journal of Chromatography B: Biomedical Sciences and
Applications 2001, 752. 247-261, DOI: http://dx.doi.org/10.1016/S0378-4347(00)00503-X.
46. A. Beck, M. C. Bussat, N. Zorn, V. Robillard, C. Klinguer-Hamour, S. Chenu, L.
Goetsch, N. Corvaia, A. Van Dorsselaer, J. F. Haeuw, Characterization by liquid
chromatography combined with mass spectrometry of monoclonal anti-IGF-1 receptor antibodies
produced in CHO and NS0 cells. J Chromatogr B Analyt Technol Biomed Life Sci 2005, 819.
203-18.
47. K. G. Moorhouse, W. Nashabeh, J. Deveney, N. S. Bjork, M. G. Mulkerrin, T. Ryskamp,
Validation of an HPLC method for the analysis of the charge heterogeneity of the recombinant
monoclonal antibody IDEC-C2B8 after papain digestion1. Journal of Pharmaceutical and
Biomedical Analysis 1997, 16. 593-603, DOI: http://dx.doi.org/10.1016/S0731-7085(97)00178-
7.
48. J. M. Wilkinson, E. M. Press, R. R. Porter, The N-terminal sequence of the heavy chain
of rabbit immunoglobulin IgG. Biochemical Journal 1966, 100. 303-308.
38
49. M. Gramer, in Mammalian Cell Cultures for Biologics Manufacturing, ed. W. Zhou, A.
Kantardjieff. Springer Berlin Heidelberg, 2014, vol. 139, pp 123-166.
50. M. C. Manning, D. K. Chou, B. M. Murphy, R. W. Payne, D. S. Katayama, Stability of
Protein Pharmaceuticals: An Update. Pharmaceutical Research 2010, 27. 544-575, DOI:
10.1007/s11095-009-0045-6.
51. Y. Kaneko, R. Sato, H. Aoyagi, Changes in the quality of antibodies produced by
Chinese hamster ovary cells during the death phase of cell culture. Journal of Bioscience and
Bioengineering 2010, 109. 281-287, DOI: 10.1016/j.jbiosc.2009.09.043.
52. E. Schauenstein, K. Schauenstein, F. Dachs, M. Reiter, A. Leitsberger, M. Weblacher, K.
Maninger, H. Horejsi, W. Steinschifter, C. Hirschmann, P. Felsner, Reactive disulfide bonds in
immunoglobulin G. A unique feature in serum proteins of different species. Biochem Mol Biol
Int 1996, 40. 433-46.
53. W. Zhang, M. J. Czupryn, Free sulfhydryl in recombinant monoclonal antibodies.
Biotechnol Prog 2002, 18. 509-13.
54. F. R. Taylor, H. L. Prentice, E. A. Garber, H. A. Fajardo, E. Vasilyeva, R. Blake
Pepinsky, Suppression of sodium dodecyl sulfate–polyacrylamide gel electrophoresis sample
preparation artifacts for analysis of IgG4 half-antibody. Analytical Biochemistry 2006, 353. 204-
208, DOI: http://dx.doi.org/10.1016/j.ab.2006.02.022.
55. A. Lim, J. Wally, M. T. Walsh, M. Skinner, C. E. Costello, Identification and Location of
a Cysteinyl Posttranslational Modification in an Amyloidogenic κ1 Light Chain Protein by
Electrospray Ionization and Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry.
Analytical Biochemistry 2001, 295. 45-56, DOI: http://dx.doi.org/10.1006/abio.2001.5187.
56. D. D. Banks, H. S. Gadgil, G. D. Pipes, P. V. Bondarenko, V. Hobbs, J. L. Scavezze, J.
Kim, X.-R. Jiang, V. Mukku, T. M. Dillon, Removal of cysteinylation from an unpaired
sulfhydryl in the variable region of a recombinant monoclonal IgG1 antibody improves
homogeneity, stability, and biological activity. Journal of Pharmaceutical Sciences 2008, 97.
775-790, DOI: 10.1002/jps.21014.
57. H. S. Gadgil, P. V. Bondarenko, G. D. Pipes, T. M. Dillon, D. Banks, J. Abel, G. R.
Kleemann, M. J. Treuheit, Identification of cysteinylation of a free cysteine in the Fab region of
a recombinant monoclonal IgG1 antibody using Lys-C limited proteolysis coupled with LC/MS
analysis. Analytical Biochemistry 2006, 355. 165-174, DOI:
http://dx.doi.org/10.1016/j.ab.2006.05.037.
58. C. T. Craescu, C. Poyart, C. Schaeffer, M. C. Garel, J. Kister, Y. Beuzard, Covalent
binding of glutathione to hemoglobin. II. Functional consequences and structural changes
reflected in NMR spectra. Journal of Biological Chemistry 1986, 261. 14710-14716.
39
59. J. Melchers, N. Dirdjaja, T. Ruppert, R. L. Krauth-Siegel, Glutathionylation of
Trypanosomal Thiol Redox Proteins. Journal of Biological Chemistry 2007, 282. 8678-8694,
DOI: 10.1074/jbc.M608140200.
60. N. Nagahara, T. Matsumura, R. Okamoto, Y. Kajihara, Protein cysteine modifications:
(1) medicinal chemistry for proteomics. Curr. Med. Chem. 2009, 16. 4419-4444, DOI:
10.2174/092986709789712880.
61. M. Yu, T. Y. Lau, S. A. Carr, M. Krieger, Contributions of a Disulfide Bond and a
Reduced Cysteine Side Chain to the Intrinsic Activity of the High-Density Lipoprotein Receptor
SR-BI. Biochemistry 2012, 51. 10044-10055, DOI: 10.1021/bi301203x.
62. W. Ni, M. Lin, P. Salinas, P. Savickas, S.-L. Wu, B. Karger, Complete Mapping of a
Cystine Knot and Nested Disulfides of Recombinant Human Arylsulfatase A by Multi-Enzyme
Digestion and LC-MS Analysis Using CID and ETD. J. Am. Soc. Mass Spectrom. 2013, 24. 125-
133, DOI: 10.1007/s13361-012-0510-z.
63. D. Chelius, M. H. Wimer, P. Bondarenko, Reversed-phase liquid chromatography in-line
with negative ionization electrospray mass spectrometry for the characterization of the disulfide-
linkages of an immunoglobulin gamma antibody. J. Am. Soc. Mass Spectrom. 2006, 17. 1590-
1598, DOI: 10.1016/j.jasms.2006.07.008.
64. B. Hultberg, Modulation of extracellular homocysteine concentration in human cell lines.
Clinica Chimica Acta 2003, 330. 151-159, DOI: http://dx.doi.org/10.1016/S0009-
8981(03)00052-4.
65. J. Beltowski, Protein homocysteinylation: a new mechanism of atherogenesis? Postepy
Hig Med Dosw 2005, 59. 392-404.
66. T. Zang, S. Dai, D. Chen, B. W. K. Lee, S. Liu, B. L. Karger, Z. S. Zhou, Chemical
Methods for the Detection of Protein N-Homocysteinylation via Selective Reactions with
Aldehydes. Analytical Chemistry 2009, 81. 9065-9071, DOI: 10.1021/ac9017132.
67. H. Jakubowski, L. Zhang, A. Bardeguez, A. Aviv, Homocysteine Thiolactone and Protein
Homocysteinylation in Human Endothelial Cells: Implications for Atherosclerosis. Circulation
Research 2000, 87. 45-51, DOI: 10.1161/01.res.87.1.45.
68. A. K. Miller, D. M. Hambly, B. A. Kerwin, M. J. Treuheit, H. S. Gadgil, Characterization
of site-specific glycation during process development of a human therapeutic monoclonal
antibody. Journal of Pharmaceutical Sciences 2011, 100. 2543-2550, DOI: 10.1002/jps.22504.
69. S. Li, T. W. Patapoff, D. Overcashier, C. Hsu, T. H. Nguyen, R. T. Borchardt, Effects of
reducing sugars on the chemical stability of human relaxin in the lyophilized state. Journal of
Pharmaceutical Sciences 1996, 85. 873-877, DOI: 10.1021/js950456s.
40
70. H. S. Gadgil, P. V. Bondarenko, G. Pipes, D. Rehder, A. McAuley, N. Perico, T. Dillon,
M. Ricci, M. Treuheit, The LC/MS analysis of glycation of IgG molecules in sucrose containing
formulations. Journal of Pharmaceutical Sciences 2007, 96. 2607-2621, DOI:
10.1002/jps.20966.
71. D. D. Banks, D. M. Hambly, J. L. Scavezze, C. C. Siska, N. L. Stackhouse, H. S. Gadgil,
The effect of sucrose hydrolysis on the stability of protein therapeutics during accelerated
formulation studies. Journal of Pharmaceutical Sciences 2009, 98. 4501-4510, DOI:
10.1002/jps.21749.
72. N. Ahmed, P. J. Thornalley, Advanced glycation endproducts: what is their relevance to
diabetic complications? Diabetes, Obesity and Metabolism 2007, 9. 233-245, DOI:
10.1111/j.1463-1326.2006.00595.x.
73. B. A. Perkins, N. Rabbani, A. Weston, L. H. Ficociello, A. Adaikalakoteswari, M.
Niewczas, J. Warram, A. S. Krolewski, P. Thornalley, Serum Levels of Advanced Glycation
Endproducts and Other Markers of Protein Damage in Early Diabetic Nephropathy in Type 1
Diabetes. PLoS ONE 2012, 7. e35655, DOI: 10.1371/journal.pone.0035655.
74. S. Kingkeohoi, F. W. R. Chaplen, Analysis of Methylglyoxal Metabolism in CHO Cells
Grown in Culture. Cytotechnology 2005, 48. 1-13, DOI: 10.1007/s10616-005-1920-6.
75. F. W. R. Chaplen, W. E. Fahl, D. C. Cameron, Evidence of high levels of methylglyoxal
in cultured Chinese hamster ovary cells. Proceedings of the National Academy of Sciences of the
United States of America 1998, 95. 5533-5538.
76. N. Ahmed, D. Dobler, M. Dean, P. J. Thornalley, Peptide Mapping Identifies Hotspot
Site of Modification in Human Serum Albumin by Methylglyoxal Involved in Ligand Binding
and Esterase Activity. Journal of Biological Chemistry 2005, 280. 5724-5732, DOI:
10.1074/jbc.M410973200.
77. P. J. Thornalley, Protein and nucleotide damage by glyoxal and methylglyoxal in
physiological systems - role in ageing and disease. Drug metabolism and drug interactions 2008,
23. 125-150.
78. A. M. T. B. S. Martins, C. A. A. Cordeiro, A. M. J. Ponces Freire, In situ analysis of
methylglyoxal metabolism in Saccharomyces cerevisiae. FEBS Letters 2001, 499. 41-44, DOI:
http://dx.doi.org/10.1016/S0014-5793(01)02519-4.
79. F. W. R. Chaplen, Incidence and potential implications of the toxic metabolite
methylglyoxal in cell culture: A review. Cytotechnology 1998, 26. 173-183, DOI:
10.1023/a:1007953628840.
80. P. Chellan, R. H. Nagaraj, Protein Crosslinking by the Maillard Reaction: Dicarbonyl-
Derived Imidazolium Crosslinks in Aging and Diabetes. Archives of Biochemistry and
Biophysics 1999, 368. 98-104, DOI: http://dx.doi.org/10.1006/abbi.1999.1291.
41
81. R. E. Moellering, B. F. Cravatt, Functional Lysine Modification by an Intrinsically
Reactive Primary Glycolytic Metabolite. Science 2013, 341. 549-553, DOI:
10.1126/science.1238327.
82. J. A. Demoss, S. M. Genuth, G. D. Novelli, The Enzymatic Activation of Amino Acids
Via Their Acyl-Adenylate Derivatives. Proc Natl Acad Sci U S A 1956, 42. 325-32.
83. S. G. Codreanu, B. Zhang, S. M. Sobecki, D. D. Billheimer, D. C. Liebler, Global
Analysis of Protein Damage by the Lipid Electrophile 4-Hydroxy-2-nonenal. Molecular &
Cellular Proteomics : MCP 2009, 8. 670-680, DOI: 10.1074/mcp.M800070-MCP200.
84. N. A. Porter, S. E. Caldwell, K. A. Mills, Mechanisms of free radical oxidation of
unsaturated lipids. Lipids 1995, 30. 277-90.
85. L. J. Roberts, 2nd, R. G. Salomon, J. D. Morrow, C. J. Brame, New developments in the
isoprostane pathway: identification of novel highly reactive gamma-ketoaldehydes
(isolevuglandins) and characterization of their protein adducts. Faseb J 1999, 13. 1157-68.
86. B. A. Soreghan, F. Yang, S. N. Thomas, J. Hsu, A. J. Yang, High-throughput proteomic-
based identification of oxidatively induced protein carbonylation in mouse brain. Pharm Res
2003, 20. 1713-20.
87. H. Mirzaei, F. Regnier, Affinity chromatographic selection of carbonylated proteins
followed by identification of oxidation sites using tandem mass spectrometry. Anal Chem 2005,
77. 2386-92.
88. Z. Liu, P. E. Minkler, L. M. Sayre, Mass spectroscopic characterization of protein
modification by 4-hydroxy-2-(E)-nonenal and 4-oxo-2-(E)-nonenal. Chem Res Toxicol 2003, 16.
901-11.
89. A. L. Alderton, C. Faustman, D. C. Liebler, D. W. Hill, Induction of redox instability of
bovine myoglobin by adduction with 4-hydroxy-2-nonenal. Biochemistry 2003, 42. 4398-405.
90. X. Zhu, L. M. Sayre, Long-lived 4-oxo-2-enal-derived apparent lysine michael adducts
are actually the isomeric 4-ketoamides. Chem Res Toxicol 2007, 20. 165-70.
91. D. Lin, H. G. Lee, Q. Liu, G. Perry, M. A. Smith, L. M. Sayre, 4-Oxo-2-nonenal is both
more neurotoxic and more protein reactive than 4-hydroxy-2-nonenal. Chem Res Toxicol 2005,
18. 1219-31.
92. K. Uchida, K. Sakai, K. Itakura, T. Osawa, S. Toyokuni, Protein modification by lipid
peroxidation products: formation of malondialdehyde-derived N(epsilon)-(2-propenol)lysine in
proteins. Arch Biochem Biophys 1997, 346. 45-52.
42
93. A. Hammer, G. Kager, G. Dohr, H. Rabl, I. Ghassempur, G. Jürgens, Generation,
Characterization, and Histochemical Application of Monoclonal Antibodies Selectively
Recognizing Oxidatively Modified ApoB-Containing Serum Lipoproteins. Arteriosclerosis,
Thrombosis, and Vascular Biology 1995, 15. 704-713, DOI: 10.1161/01.atv.15.5.704.
94. S. Toyokuni, N. Miyake, H. Hiai, M. Hagiwara, S. Kawakishi, T. Osawa, K. Uchida, The
monoclonal antibody specific for the 4-hydroxy-2-nonenal histidine adduct. FEBS Letters 1995,
359. 189-191, DOI: http://dx.doi.org/10.1016/0014-5793(95)00033-6.
95. C. E. Paulsen, T. H. Truong, F. J. Garcia, A. Homann, V. Gupta, S. E. Leonard, K. S.
Carroll, Peroxide-dependent sulfenylation of the EGFR catalytic site enhances kinase activity.
Nature chemical biology 2011, 8. 57-64, DOI: 10.1038/nchembio.736.
96. C. E. Paulsen, K. S. Carroll, Orchestrating redox signaling networks through regulatory
cysteine switches. ACS Chem Biol 2010, 5. 47-62.
97. C. C. Winterbourn, M. B. Hampton, Thiol chemistry and specificity in redox signaling.
Free Radic Biol Med 2008, 45. 549-61.
98. G. Roos, J. Messens, Protein sulfenic acid formation: from cellular damage to redox
regulation. Free Radic Biol Med 2011, 51. 314-26.
99. Y. H. Seo, K. S. Carroll, Quantification of Protein Sulfenic Acid Modifications Using
Isotope-Coded Dimedone and Iododimedone. Angewandte Chemie International Edition 2011,
50. 1342-1345, DOI: 10.1002/anie.201007175.
100. V. J. Thannickal, B. L. Fanburg, Reactive oxygen species in cell signaling. Am J Physiol
Lung Cell Mol Physiol 2000, 279. L1005-28.
101. Michael P. Murphy, How mitochondria produce reactive oxygen species. Biochemical
Journal 2009, 417. 1-13, DOI: 10.1042/bj20081386.
102. P. Addis, L. M. Shecterle, J. A. St Cyr, Cellular protection during oxidative stress: a
potential role for D-ribose and antioxidants. J Diet Suppl 2012, 9. 178-82.
103. L. A. Rowe, N. Degtyareva, P. W. Doetsch, DNA Damage-induced Reactive Oxygen
Species (ROS) Stress Response in Saccharomyces cerevisiae. Free radical biology & medicine
2008, 45. 1167-1177, DOI: 10.1016/j.freeradbiomed.2008.07.018.
104. T. MIYATA, K. KUROKAWA, C. VAN YPERSELE DE STRIHOU, Advanced
Glycation and Lipoxidation End Products: Role of Reactive Carbonyl Compounds Generated
during Carbohydrate and Lipid Metabolism. Journal of the American Society of Nephrology
2000, 11. 1744-1752.
105. P. Gillery, [Advanced glycation end products (AGEs), free radicals and diabetes]. J Soc
Biol 2001, 195. 387-90.
43
106. D. Trachootham, W. Lu, M. A. Ogasawara, N. R.-D. Valle, P. Huang, Redox Regulation
of Cell Survival. Antioxidants & Redox Signaling 2008, 10. 1343-1374, DOI:
10.1089/ars.2007.1957.
107. J. Fernandez, R. A. Wilson, Characterizing Roles for the Glutathione Reductase,
Thioredoxin Reductase and Thioredoxin Peroxidase-Encoding Genes of Magnaporthe oryzae
during Rice Blast Disease. PLoS ONE 2014, 9. e87300, DOI: 10.1371/journal.pone.0087300.
108. J. S. Armstrong, M. Whiteman, H. Yang, D. P. Jones, P. Sternberg, Jr., Cysteine
starvation activates the redox-dependent mitochondrial permeability transition in retinal pigment
epithelial cells. Invest Ophthalmol Vis Sci 2004, 45. 4183-9.
109. F. W. Chaplen, Incidence and potential implications of the toxic metabolite
methylglyoxal in cell culture: A review. Cytotechnology 1998, 26. 173-83.
110. K. Schmid, M. B. MacNair, A. F. Bürgi, THE CHROMATOGRAPHIC SEPARATION
AND PURIFICATION OF ACIDIC PROTEINS ON CARBOXYLATED ION EXCHANGE
RESINS. Journal of Biological Chemistry 1958, 230. 853-864.
111. Y. Du, A. Walsh, R. Ehrick, W. Xu, K. May, H. Liu, Chromatographic analysis of the
acidic and basic species of recombinant monoclonal antibodies. mAbs 2012, 4. 578-585, DOI:
10.4161/mabs.21328.
112. J. D. Dimitrov, J. Bayry, S. Sibéril, S. V. Kaveri, Sialylated therapeutic IgG: a sweet
remedy for inflammatory diseases? Nephrology Dialysis Transplantation 2007, 22. 1301-1304,
DOI: 10.1093/ndt/gfl847.
113. J. Zaia, Mass spectrometry of oligosaccharides. Mass Spectrometry Reviews 2004, 23.
161-227, DOI: 10.1002/mas.10073.
114. D. Ouellette, L. Alessandri, A. Chin, C. Grinnell, E. Tarcsa, C. Radziejewski, I. Correia,
Studies in serum support rapid formation of disulfide bond between unpaired cysteine residues in
the VH domain of an immunoglobulin G1 molecule. Anal Biochem 2010, 397. 37-47.
115. A. Leitner, A. Foettinger, W. Lindner, Improving fragmentation of poorly fragmenting
peptides and phosphopeptides during collision-induced dissociation by malondialdehyde
modification of arginine residues. J Mass Spectrom 2007, 42. 950-9.
116. J. Zhang, T. Zhang, L. Jiang, D. Hewitt, Y. Huang, Y.-H. Kao, V. Katta, Rapid
Identification of Low Level Glycation Sites in Recombinant Antibodies by Isotopic Labeling
with 13C6-Reducing Sugars. Analytical Chemistry 2012, 84. 2313-2320, DOI:
10.1021/ac202995x.
117. M. Liu, Z. Zhang, T. Zang, C. Spahr, J. Cheetham, D. Ren, Z. S. Zhou, Discovery of
Undefined Protein Cross-Linking Chemistry: A Comprehensive Methodology Utilizing 18O-
44
Labeling and Mass Spectrometry. Analytical Chemistry 2013, 85. 5900-5908, DOI:
10.1021/ac400666p.
118. M. Haberger, K. Bomans, K. Diepold, M. Hook, J. Gassner, T. Schlothauer, A. Zwick, C.
Spick, J. F. Kepert, B. Hienz, M. Wiedmann, H. Beck, P. Metzger, M. Mølhøj, C. Knoblich, U.
Grauschopf, D. Reusch, P. Bulau, Assessment of chemical modifications of sites in the CDRs of
recombinant antibodies: Susceptibility vs. functionality of critical quality attributes. mAbs 2014,
6. 327-339, DOI: 10.4161/mabs.27876.
119. T. Igawa, H. Tsunoda, T. Kuramochi, Z. Sampei, S. Ishii, K. Hattori, Engineering the
variable region of therapeutic IgG antibodies. mAbs 2011, 3. 243-252, DOI:
10.4161/mabs.3.3.15234.
45
Chapter 2 Arginine Modifications by Methylglyoxal: Discovery in a Recombinant
Monoclonal Antibody and Contribution to Acidic Species
This chapter is based on a published paper with the same title
Analytical Chemistry 2013, 85(23):11401-9
2.1 Abstract:
Heterogeneity is common among protein therapeutics. For example, the so-called acidic
species (charge variants) are typically observed when recombinant monoclonal antibodies
(mAbs) are analyzed by weak-cation exchange chromatography (WCX). Several protein
posttranslational modifications have been established as contributors, but still cannot completely
account for all heterogeneity. As reported herein, an unexpected modification by methylglyoxal
(MGO) was identified, for the first time, in a recombinant monoclonal antibody expressed in
Chinese hamster ovary (CHO) cells. Modifications of arginine residues by methylglyoxal lead to
two adducts (dihydroxyimidazolidine and hydroimidazolone) with increase of molecular weights
of 72 and 54 Daltons, respectively. In addition, the modification by methylglyoxal causes the
antibody to elute earlier in the weak cation exchange chromatogram. Consequently, the extent to
which an antibody was modified at multiple sites corresponds to the degree of shift in elution
time. Furthermore, cell culture parameters also affected the extent of modifications by
methylglyoxal, a highly reactive metabolite that can be generated from glucose or lipids or other
metabolic pathways. Our findings again highlight the impact that cell culture conditions can
have on the product quality of recombinant protein pharmaceuticals.
46
2.2 Introduction
Recombinant biotherapeutics are associated with an inherently increased level of
structural complexity as compared to traditional small molecule drugs. Various protein post-
translational modifications (PTM’s) have been well documented as major contributors to
heterogeneity in recombinant monoclonal antibodies 1-5
. Some of these processes occur during
fermentation, such as glycosylation and sialic acid incorporation; 6-8
while others can occur
through purification, storage and even sample preparation, such as oxidation and disulfide bond
scrambling9-10
. Yet the known modifications still cannot explain all the variants.
A group of extensively studied charge variants include the so-called acidic species that
are observed when recombinant monoclonal antibodies are analyzed by weak-cation exchange
(WCX) chromatography, see Figure 1. One major contributing factor is the removal of the C-
terminal lysine of the heavy chain by cell-produced carboxypeptidease, reducing the overall
positive charge 11
; these variants are commonly referred to as Lys-0, Lys-1 and Lys-2 species.
C-Terminal amidation 12
is another enzymatic process during fermentation. Spontaneous non-
enzymatic transformations include the formation of pyroglutamate (Pyro-Glu) from an N-
terminal glutamine (Gln) that removes the positive charge of the free N-terminus 13
, and the
deamidation of asparagine (Asn) to aspartic (Asp) or isoaspartic acid (isoAsp or isoD) that
introduces negatively charged carboxylic acids 14-19
. Other modifications without altering the
formal charges can shift the retention time of an antibody on weak cation exchange
chromatography, likely due to perturbation of local charge and conformation, such as incomplete
glycosylation 20
and the presence of free cysteinyl thiols instead of disulfide10, 21
. It is worth
noting that some modifications are imparted by metabolites, such as glycation by glucose2, 22-23
,
methionine oxidation by reactive oxygen species (ROS)24
, cysteinylation by cysteine 25
, and N-
47
homocysteinylation by homocysteine thiolactone26-27
. Again, it is interesting to note that
although many modifications have been reported; the observed heterogeneity of recombinant
monoclonal antibodies on weak cation exchange chromatography still cannot be explained
completely, suggesting more modifications are yet to be identified.
As report herein, we observed two well-defined acidic species under certain cell culture
conditions. Detailed analyses have revealed that several arginine (Arg) residues were modified
by methylglyoxal (MGO), further confirmed by comparing native antibody treated with authentic
MGO. As illustrated in Scheme 1, the resulting dihydroxyimidazolidine and hydroimidazolone
adducts increase molecular weights by 54 and 72 Daltons, respectively; these modifications
cause the antibody to elute earlier in the weak cation exchange chromatogram. Consequently,
the extent to which an antibody was modified at multiple sites corresponds to the degree of shift
elution time. While protein modification by MGO is known in biology, our discovery is the first
for a recombinant protein product. Furthermore, cell culture parameters also affect the extent of
modifications by methylglyoxal, a highly reactive metabolite that can be generated from glucose,
lipids or other metabolic pathways.
48
Scheme 2-1. Chemical modification of arginine by methylglyoxal (MGO). The guanidine of the
arginine side chain reacts with the dicarbonyls to form a dihydroxyimidazolidine with a mass
increase of 72 Da, and the subsequent loss of water leads to a hydroimidazolone with a mass
increase of 54 Da.
49
2.3 Materials and Methods
2.3.1 Materials
The recombinant monoclonal antibody was produced by stably transfected Chinese
hamster ovary (CHO) cells cultured in a bioreactor and purified at AbbVie Bioresearch Center
(Worcester, MA). Dithiothreitol (DTT) was from Sigma (St. Louis, MO). Acetonitrile and
trifluoroacetic acid (TFA) were from J.T.Baker (Phillipsburg, NJ). Formic acid (FA) was from
EMD (Gibbstown, NJ). Trypsin was from Worthington (Lakewood, NJ). Endoproteinase Lys-C
was from Roche (Indianapolis, IN). Methylglyoxal was from MP Biomedicals (Solon, OH).
Guanidine-HCl was from Thermo Scientific (Rockford, IL).
2.3.2 Weak cation exchange (WCX) chromatography
The antibody in low salt buffer was loaded onto a ProPac 4 x 250 mm WCX-10 column
(Dionex, Sunnyvale, CA) at 94% mobile phase A (10 mM sodium phosphate, pH 7.5) and 6%
mobile phase B (10 mM sodium phosphate and 500 mM sodium chloride, pH 5.5) at a flow-rate
of 1 mL/min. The percentage of mobile phase B was increased from 6% to 16% over 20 min to
elute the antibody monitored by UV absorbance at 280 nm. The column was then washed using
100% mobile phase B and then equilibrated using 6% mobile phase B for 9 minutes between
injections. Fractionation was performed across the WCX-10 chromatogram. Distinct peaks
were collected as individual fractions. The collected fractions were concentrated using Amicon
Ultra-15 centrifugal filter with a molecular weight cut-off of 10 kDa (Millipore, Billerica, MA)
and a table-top centrifuge operated at 4 ºC.
2.3.3 LC-MS analysis of light and heavy chains of antibody
50
Light chain and heavy chain of the antibody from different fractions were analyzed using
an HPLC (Agilent 1260, Santa Clara, CA) with a reversed phase column (Vydac, C4, 1 x 150
mm i.d., 5µ particle size) coupled to a Q-TOF mass spectrometer (Agilent, 6510). Antibody was
reduced using DTT (10 mM final concentration). Ten microliters of each sample was loaded at
95% mobile phase A (0.08% formic acid and 0.02% TFA in Milli-Q water) and 5% mobile phase
B (0.08% formic acid and 0.02% TFA in acetonitrile) and then eluted using a gradient from 5%
mobile phase B to 35% mobile phase B in 20 min. The column was washed using 90% mobile
phase B and equilibrated using 5% mobile phase B for 10 min. The flow rate was 50 µL/min
and column oven temperature was 60 ºC. The mass spectrometer was operated in positive ion
mode with a scan range from m/z 600 to 3200. Ion spray voltage was 4500 volts and the source
temperature was 350 ºC.
2.3.4 Tryptic and Lys-C digestion
Protein factions from WCX were denatured using 6 M guanidine hydrochloride in 100
mM Tris, pH 8.0 and reduced using 10 mM DTT at 37 ºC for 30 min. Alkylation was performed
using 25 mM iodoacetic acid at 37 ºC for 30 min. The samples were buffer exchanged to 10 mM
Tris pH 8.0 using NAP-5 columns (GE Healthcare, Piscataway, NJ). The samples were digested
either with trypsin or Lys-C at 1:20 (w:w, enzyme:antibody) and incubated at 37 ºC for 4 hours.
2.3.5 LC-MS analysis of peptides
A UPLC (Acquity, Waters, Milford, MA) equipped with a UPLC C18 reversed phase
column (Waters, 1 x 150 mm i.d., 1.7µ particle size) and a Thermo Scientific LTQ-Orbitrap
Velos mass spectrometer (Thermo Fisher, West Palm Beach, FL) were used to analyze peptide
51
samples. Forty µL of each sample was loaded at 98% mobile phase A (0.08% formic acid and
0.02% TFA in Milli-Q water) and 2% mobile phase B (0.08% formic acid and 0.02% TFA in
acetonitrile) and then eluted using a gradient from 2% mobile phase B to 35% mobile phase B in
80 min. The column was washed using 90% mobile phase B and equilibrated using 2% mobile
phase B for 10 min. The flow rate was 50 µL/min and column oven temperature was 60 ºC. The
mass spectrometer was operated in positive ion mode with a scan range from m/z 400 to 2000
with alternating collision induced dissociation (CID) and hard collision dissociation (HCD) of
the three most intense parent masses. Ion spray voltage was set at 4500 volts and the source
temperature was set at 350 ºC. The data was were analyzed by searching extracted mass traces
of cleaved and subsequently miscleaved tryptic peptides containing peptides with mass increases
of 54 and 72 Daltons. The data were also searched against the theoretical primary structure
using the Sequest algorithm (Thermo Scientific, West Palm Beach, FL).
2.3.6 Methylglyoxal reaction with monoclonal antibody
Authentic methylglyoxal (MP Biomedical, Solon, OH) was incubated with the isoform of
the recombinant monoclonal antibody without C-terminal Lys (denoted as Lys-0), collected from
the WCX-10 chromatography. Lys-0 antibody at 1 mg/mL in 10 mM sodium phosphate at pH
7.0 was incubated with 2.8 mM methylglyoxal at 35 ºC for 0, 1, 2, 3, 4 and 5 hours. Lys-0
antibody incubated under the same conditions without methylgloxal was used as a control. The
samples were analyzed by WCX as described in the previous section. Peaks that appeared in the
acidic region of the chromatogram in the sample treated with methylglyoxal for 2 hours were
fractionated for further analysis as described for the samples from cell culture, and the data from
the MGO spiking fractions and the cell culture fractions were compared.
52
2.3.7 Global Analysis of MGO Modification
Methylglyoxal can modify arginine, lysine and cysteine residues28-29
. To this point,
pertinent structures for potential modifications were searched for both manually and with the
Sequest Algorithm (Thermo Scientific, West Palm Beach, FL) to understand the degree to which
the antibody has been modified. Both lysine and arginine must be considered to result in mis-
cleavages when trypsin is used as the digest agent. In contrast, modified cysteine residues will
lie within a tryptic peptide, but its reactivity is hampered by the fact that all cysteines in a
recombinant monoclonal antibody should be involved in disulfide bonds. Structures considered
in the analysis are adducts of arginine (dihydroxyimidazolidine, hydroimidazolone and
argpyrimidine), lysine (N-epsilon (1-carboxyethyl) lysine28
, and cysteine (carboxyethyl
cysteine)28-29
.
2.3.8 Quantification of Modified Peptides
Quantification of MGO modified peptides was performed on endoprotease Lys-C
generated peptides. Comparison of Lys-C peptides eliminates MGO-induced mis-cleavages
allowing for direct quantification between the matching modified and unmodified peptides.
These data were generated using the parameters outlined in the LC/MS analysis of peptides
section discussed previously. Extracted mass chromatograms corresponding to Lys-C peptides
encompassing identified MGO sites from the tryptic mapping experiments were compared for
the native peptide and +54 and +72 Dalton increases. The integrated areas of the confirmed
extracted ion chromatogram (EIC) peaks of the modified and native Lys-C peptides were used to
quantify the percent of methyglyoxal modification at each of the susceptible sites.
53
2.4 Results and Discussion
2.4.1 New acidic species induced by changes in cell culture
Under culture conditions M (modified), an increase in acidic species occurred during
protein expression. In Figure 2-1, the weak cation exchange chromatogram shows two well-
defined peaks with considerable shorter retention time than that of the main peak (Lys-0
isoform), which were absent under conditions N (normal). Although, it was determined later by
a spiking study that after reduction, light chain with 2% modification of the 54 Da species can be
detected and 5% modification can be unambiguously assigned, fractions were collected to enrich
materials with such modifications. Each fraction was reduced to generate heavy chain and light
chains, which were analyzed by LC/MS; the resulting mass spectra are shown in Figure 2-2. The
molecular weight of 23408.24 Da for the major peak was in agreement with the theoretical
molecular weight of 23408.13 Da for the light chain (LC) based on its amino acid sequence. In
addition, two distinct peaks with molecular weights of 23462.44 Da and 23480.26 Da were also
observed, corresponding to increases of approximately 54 Da and 72 Da over that for the native
light chain. Moreover, a ladder of additional peaks with mass increase of 54 or 72 Da
increments, albeit with lower intensity, was also observed, likely due to the same modifications
occurring at multiple sites. A similar pattern of modifications was also observed for the heavy
chain as shown in Figure 2-2. The major peak with a molecular weight of 50637.95 Da is in
agreement with the theoretical molecular weight (50636.78 Da) of the heavy chain without the
C-terminal Lys (Lys-0) and with a core-fucosylated biantenary complex oligosaccharide without
the terminal galactose (G0F). Similar to the light chain, two additional peaks with molecular
weights of 50692.06 Da and 50709.12 Da were also observed (Fraction 2), which are
54
approximately 54 Da and 72 Da greater than the theoretical molecular weight. Again, the
additional ladder of peaks with lower intensity are likely due to the same modification occurring
at more than one site.
It is worth noting that these mass changes are not among the reported protein
modifications in recombinant monoclonal antibodies. Additionally, searching ABRF Delta Mass
database (www.abrf.org/index.cfm/dm.home) of common protein modifications did not yield
plausible explanation for the observed mass increases of 54 Da or 72 Da either. Furthermore, it
was not initially clear whether these two modifications were related. To elucidate the chemical
nature and site of modifications, peptide mapping was carried out first to identify modified
peptides.
55
Figure 2-1. The top panel is a typical WCX chromatogram of the recombinant monoclonal
antibody after protein A purification (top and bottom traces were from cell culture M (modified)
and N (normal), respectively, at day 9). The peaks labeled as Lys-0, Lys-1 and Lys-2 are
antibody isoforms without the C-terminal Lys, with one C-terminal Lys and with two C-terminal
Lys on the heavy chains, respectively. Peaks at 2.2 and 2.8 min were observed in antibody
expressed in cell culture M and are denoted by Fractions 1 and 2, respectively, which are the
focus of this study. The bottom panel shows the time dependence of the formation of these two
species.
56
Figure 2-2. Deconvoluted mass spectra of the light chain and heavy chains in fraction 1 (A and
B) and fraction 2 (C and D). The theoretical molecular weight of the light chain is 23408.13 Da
(observed 23408.24); 23462.44 and 23480.66 Da in Pane A represent increase of mass of 54 and
72 Da, respectively. The theoretical molecular weight of the heavy chain is 50636.78 Da
(observed 50637.95); 50691.04 and 50710 Da represent increase of mass of 54 and 72 Da,
respectively. In antibody treated by authentic MGO (2.7 mM, 5 h), a series of peaks with
A
G
E
C
B
H
F
D
LC
Fraction 1
LC
Fraction 2
LC
Authentic
MGO
LC
Control
HC
Control
HC
Authentic
MGO
HC
Fraction 1
HC
Fraction 2
A
G
E
C
B
H
F
D
LC
Fraction 1
LC
Fraction 2
LC
Authentic
MGO
LC
Control
HC
Control
HC
Authentic
MGO
HC
Fraction 1
HC
Fraction 2
57
incremental mass increase of 54 and/or 72 were observed (see E and F). These additional peaks
are absent from the control (G and H).
58
2.4.2 Localization of the modification sites
Peptide mapping was performed on fractions 1 and 2 in the weak cation exchange
chromatogram. Initially, all theoretical tryptic peptides with mass increase of either 54 Da or 72
Da were manually searched but none were found. We surmised that the modifications might
perturb proteolysis; hence, the manual search was expanded to tryptic peptides with one single
mis-cleavage at either lysine or arginine, and several such peptides were observed. Two
representative MS/MS spectra corresponding to the same peptide with +54 Da and +72 Da mass
increase are shown in Figure 2-3. The internal arginine residue should be cleaved by trypsin but
was not, suggesting it was likely modified. MS/MS was performed using an alternating
fragmentation activation of CID performed in the ion trap and HCD performed in the collision
cell to produce complimentary fragmentation spectra to provide better coverage. The major
fragment ions in the spectra are from the b-ion series. A mass increase of 54 Da associated with
b6 and b15-ions localized the modification to the first six amino acids that include the only
arginine residue in this peptide. In addition to b-ions, several y-ions were also observed. Most
important was that while the y12 ion showed the predicted mass of the unmodified peptide
fragment, the y13 ion (refer to Figure 2-3, Pane A) displayed a mass increase of 54 Da thus
confirming that the modification was on the arginine. Similarly, for light chain peptide T3 (a
doubly charged precursor ion of m/z of 1090.5), a mass increase of 72 Da was associated with
both b8 and b15 ions that localized the modification to the first eight amino acids. Again, the
observation of y12 ion with the predicted mass and y13 ion with a mass increase of 72 Da
confirmed that the modification was on the Arg residue (refer to Figure 2-3, Pane B).
59
A
0
20
40
60
80
100 1128.58 1314.66
1018.01
1861.921477.72
1605.78
1734.84848.46
944.46
1218.66781.39668.37429.28
B
0
20
40
60
80
100 1128.58 1314.66
1057.54
1862.931018.01
1477.72
1606.78
1733.83848.46
944.46
1286.67781.40668.37429.28
1971.52
b15+1
b14+1
b13+1
b12+1
b11+1b9
+1b10
+1
b7+1
b8+1
b6+1
y13+1
y10+1
y7+1
y4+1
y12+1
b15+1
b14+1
b13+1
b12+1
b11+1
b9+1 b10
+1
b7+1
b8+1
b6+1
y13+1
y10+1
y7+1
y4+1
y12+1
C
0
20
40
60
80
100 1073.05
1332.661018.011146.59
1495.73
1880.931624.80848.46
734.37606.26
1219.67
411.27
D
400 600 800 1000 1200 1400 1600 1800 2000
m/z
0
20
40
60
80
100 1073.05
1018.01
1332.661146.59
1496.74
1624.79 1880.94
848.46
989.50
1218.66
429.28 734.36
y7+1
b14+1
b10+1
b9+1
b11+1
b15+1b12
+1
b13+1
y12+1
y13+1
y4+1
y7+1
b14+1
b10+1
b9+1
b11+1
b15+1b12
+1
b13+1
y12+1
y13+1
y4+1
Cell Culture
Cell Culture
Authentic MGO
Authentic MGO
ASQGI R* N Y L A W Y Q Q K PGKy13 y12
b7 b8 b15b14b13b12b11b10b9b6
y10 y4y7
ASQGI R* N Y L A W Y Q Q K PGKy13 y12
b7 b8 b15b14b13b12b11b10b9b6
y10 y4y7
ASQGI R** N Y L A W Y Q Q K PGKy13 y12
b15b14b13b12b11b10b9
y4y7
ASQGI R** N Y L A W Y Q Q K PGKy13 y12
b15b14b13b12b11b10b9
y4y7
A
0
20
40
60
80
100 1128.58 1314.66
1018.01
1861.921477.72
1605.78
1734.84848.46
944.46
1218.66781.39668.37429.28
B
0
20
40
60
80
100 1128.58 1314.66
1057.54
1862.931018.01
1477.72
1606.78
1733.83848.46
944.46
1286.67781.40668.37429.28
1971.52
b15+1
b14+1
b13+1
b12+1
b11+1b9
+1b10
+1
b7+1
b8+1
b6+1
y13+1
y10+1
y7+1
y4+1
y12+1
b15+1
b14+1
b13+1
b12+1
b11+1
b9+1 b10
+1
b7+1
b8+1
b6+1
y13+1
y10+1
y7+1
y4+1
y12+1
A
0
20
40
60
80
100 1128.58 1314.66
1018.01
1861.921477.72
1605.78
1734.84848.46
944.46
1218.66781.39668.37429.28
A
0
20
40
60
80
100 1128.58 1314.66
1018.01
1861.921477.72
1605.78
1734.84848.46
944.46
1218.66781.39668.37429.28
B
0
20
40
60
80
100 1128.58 1314.66
1057.54
1862.931018.01
1477.72
1606.78
1733.83848.46
944.46
1286.67781.40668.37429.28
1971.52
B
0
20
40
60
80
100 1128.58 1314.66
1057.54
1862.931018.01
1477.72
1606.78
1733.83848.46
944.46
1286.67781.40668.37429.28
1971.52
b15+1
b14+1
b13+1
b12+1
b11+1b9
+1b10
+1
b7+1
b8+1
b6+1
y13+1
y10+1
y7+1
y4+1
y12+1
b15+1
b14+1
b13+1
b12+1
b11+1
b9+1 b10
+1
b7+1
b8+1
b6+1
y13+1
y10+1
y7+1
y4+1
y12+1
C
0
20
40
60
80
100 1073.05
1332.661018.011146.59
1495.73
1880.931624.80848.46
734.37606.26
1219.67
411.27
D
400 600 800 1000 1200 1400 1600 1800 2000
m/z
0
20
40
60
80
100 1073.05
1018.01
1332.661146.59
1496.74
1624.79 1880.94
848.46
989.50
1218.66
429.28 734.36
y7+1
b14+1
b10+1
b9+1
b11+1
b15+1b12
+1
b13+1
y12+1
y13+1
y4+1
y7+1
b14+1
b10+1
b9+1
b11+1
b15+1b12
+1
b13+1
y12+1
y13+1
y4+1
C
0
20
40
60
80
100 1073.05
1332.661018.011146.59
1495.73
1880.931624.80848.46
734.37606.26
1219.67
411.27
C
0
20
40
60
80
100 1073.05
1332.661018.011146.59
1495.73
1880.931624.80848.46
734.37606.26
1219.67
411.27
D
400 600 800 1000 1200 1400 1600 1800 2000
m/z
0
20
40
60
80
100 1073.05
1018.01
1332.661146.59
1496.74
1624.79 1880.94
848.46
989.50
1218.66
429.28 734.36
D
400 600 800 1000 1200 1400 1600 1800 2000
m/z
400 600 800 1000 1200 1400 1600 1800 2000
m/z
0
20
40
60
80
100 1073.05
1018.01
1332.661146.59
1496.74
1624.79 1880.94
848.46
989.50
1218.66
429.28 734.36
y7+1
b14+1
b10+1
b9+1
b11+1
b15+1b12
+1
b13+1
y12+1
y13+1
y4+1
y7+1
b14+1
b10+1
b9+1
b11+1
b15+1b12
+1
b13+1
y12+1
y13+1
y4+1
Cell Culture
Cell Culture
Authentic MGO
Authentic MGO
ASQGI R* N Y L A W Y Q Q K PGKy13 y12
b7 b8 b15b14b13b12b11b10b9b6
y10 y4y7
ASQGI R* N Y L A W Y Q Q K PGKy13 y12
b7 b8 b15b14b13b12b11b10b9b6
y10 y4y7
ASQGI R** N Y L A W Y Q Q K PGKy13 y12
b15b14b13b12b11b10b9
y4y7
ASQGI R** N Y L A W Y Q Q K PGKy13 y12
b15b14b13b12b11b10b9
y4y7
60
Figure 2-3. Representative MS/MS mass spectra ([1081.5]2+
at 31 min and [1090.5]2+
at 32 min,
respectively) of peptides containing Arg residues modified by MGO forming a
hydroimidazolone in cell culture (A and C) or from incubation with authentic methylglyoxal
forming a dihydroxyimidazolidine (B and D). Modifications that resulted in the molecular
weight increases of both 54 Da and 72 Da were localized to Arg based on the MS/MS
fragmentation pattern. R* and R** denote the modified arginine by mass increases of 54 Da and
72 Da, respectively.
61
2.4.3 Deduction of the Structure of the Modification
Chemically reactive, arginine can be modified by a host of biological molecules and
chemical reagents, the most common being carbonyls (aldehydes and ketones). The carbonyl-
guanidyl adducts are formed via an initial addition mechanism (the mass of the adduct equals the
combined mass of the carbonyl and arginyl peptide) and possibly a subsequent condensation
(elimination of a water molecule of the initial addition adduct; thus, a further mass decrease of
18 Da). Based on these mechanisms, the molecules that modified arginine in our antibody
should have an intact molecular weight of either 54 or 72 (54 +18) Da (for the +54 Da adduct),
72 or 90 (72+18) Da (for the +72 Da adduct). Furthermore, since both adducts were induced by
changes in cell culture conditions, we surmised that one or more metabolites were the culprits.
The following carbonyl molecules match the mass values: for 54 Da, 2-propynal; for 72 Da,
methylglyoxal, malonaldehyde, glycidaldehyde, butanal and butanones; and for 90 Da,
glyceraldehyde and dihydroxyacetone (glycerone). Methylglyoxal was our top candidates for the
following considerations: (1) being a dicarbonyl, it forms fairly stable adducts with arginine; (2)
production of methylglyoxal is known to be dependent on cell culture conditions30-34
,
reminiscing autoinducer-2 (AI-2, another dicarbonyl metabolite)35-37
and (3) the two adducts
shown in Scheme 1 can account for both observed mass increase. A similar approach has been
used to identify unknown protein crosslinking in an antibody38
.
2.4.4 Incubation with Authentic MGO to generate reference.
In order to confirm that the modification of the monoclonal antibody in cell culture was
indeed by MGO, Lys-0 antibody shown in Figure 2-1 was isolated using weak cation exchange
fractionation and was subsequently incubated with authentic MGO at 35 ºC; then, the reaction
62
products were analyzed by weak cation exchange chromatography. As shown in Figure 2-4,
peaks corresponding to fractions 1 and 2 in the weak cation exchange chromatogram (labeled as
Peaks A and B, respectively) increased with the prolonged incubation. In comparison,
incubation of the Lys-0 fraction without MGO under the same conditions for the entire 5 hours
did not result in any observable changes in peak profile (data not shown). Peaks A and B (Figure
2-4) were collected from the sample incubated for 2 hours using weak cation exchange
chromatography and the samples were analyzed by LC-MS in the same manner as for the
samples from cell culture. As shown in Figure 2-2 (panes E and F), peaks with molecular
weights of 23462 Da and 23480 Da correspond to molecular weight increases of 54 Da and 72
Da, respectively, compared to theoretical molecular weight of 23408 Da for the light chain.
Similarly, peaks with molecular weights of 50691 Da and 50709 Da with molecular weight
increases of 54 Da and 72 Da, respectively, as compared to theoretical molecular weight of
50637 Da for the unmodified heavy chain were also observed. Additional ladders of peaks with
increments of 54 and/or 72 Da were also observed, as for the samples from cell culture. Similar
to other PTM’s, formation of the initial MGO-adducts may alter protein conformation and
dynamics, thus altering the kinetics of modifications at other sites. As a result, the formation of
different adducts are interdependent, as indicated by the adduct distribution.
63
Figure 2-4. WCX chromatogram of a purified Lys-0 antibody incubated with and without
authentic MGO (2.8 mM at 35 ºC) for various durations as labeled. The bottom trace shows the
chromatogram of the antibody generated from cell culture. Acidic peaks derived from
incubation with authentic MGO are labeled as Peak A and Peak B, respectively. The retention
times of these peaks are in good agreement with Fraction 1 and Fraction 2 displayed in the
bottom trace which are the subject of this study.
0-Lys
T = 0 Hrs
T = 5 Hrs
T = 4 Hrs
T = 3 Hrs
T = 2 Hrs
T = 1 Hrs
Cell Culture
Peak A
Peak B
Fraction 2Fraction 1
0-Lys
T = 0 Hrs
T = 5 Hrs
T = 4 Hrs
T = 3 Hrs
T = 2 Hrs
T = 1 Hrs
Cell Culture
Peak A
Peak B
Fraction 2Fraction 1
64
2.4.5 Comparison of the in vitro references and the cell culture samples.
The peptide maps of the fractionated acidic species from the MGO spike in phosphate
buffer and the corresponding cell culture acidic fractions were compared by LC/MS/MS.
Modified tryptic peptides from both samples exhibit comparable retention times within the
normal range of variation from run to run, e.g., 31.5 minutes and 32.3 minutes for 1081.5
[M+2H]2+
corresponding to the peptide with a mass increase of 54 Da and 1090.5 [M+2H]2+
corresponding to the peptide with a mass increase of 72 Da, respectively. In addition, MS/MS
analyses indicated that the modification for both samples can be localized to the same arginine
residues in both the cell culture derived antibody and the MGO stressed 0-Lys samples.
The MS/MS fragmentation patterns of the spectra from the antibody spiked with MGO in
aqueous buffer and antibody modified during cell culture are shown in Figure 2-3 and are nearly
identical; e.g., both spectra exhibit many b ions as well as some key y ions that allow conclusive
localization of the modification as MGO-modified arginine.
2.4.6 Global Analysis of Modifications by MGO
After MGO was confirmed to be responsible for the modifications at the site described
above, the entire primary structure of the antibody was assessed for both the
dihydroxyimidazolidine (+72 Da) and the hydroimidazolone (+54 Da) adducts. Several sites in
both variable and conserved domains were identified. All modified peptides exhibited the
modification at arginine residues and subsequently resulted in mis-cleavages. The distribution
was quantitated based on endoprotease Lys-C digest analyzed by LC/MS/MS peptide mapping.
65
Lys-C was chosen for it only cleaves at lysine but not at arginine or MGO-modified arginines, so
peptide counterparts with and without MGO-modifications can be directly compared. The
distribution and peak intensity of the modified arginine-containing peptides (both the +54 and
+72 Da adduct) are shown in Figure 2-5. The differences are evident and likely to affect the
elution behavior seen in the WCX chromatography.
66
Figure 2-5.: Peak intensity of all methylglyoxal-modified peptides generated by Lys-C
digestion of fraction 1 (black) and fraction 2 (red), which are normalized to the peak intensity of
the corresponding native (unmodified) peptides. The checkered bars represent the +54 Da
adduct and the solid bars represent the +72 Da adduct.
0
0.1
0.2
0.3
0.4
0.5
LC30 LC93 LC108 HC16 HC259 HC359 HC420
Re
lati
ve In
ten
sity
Site of Arginine Modification
Fraction 1 (+54)
Fraction 2 (+54)
Fraction 1 (+72)
Fraction 2 (+72)
67
MGO may also react with lysine resulting in Nε-(carboxyethyl)lysine with a mass
increase of 72 Da39
, but the reaction is considerably slower and the product much less stable than
with arginine. A thorough examination for MGO modifications on lysine residues did not result
in any matches, indicating the MGO modification is selective toward arginine under our
conditions.
The majority of the modifications occur at the CDR region, which is more flexible than
the other parts of the antibody. Arg30 of the light chain is particularly solvent accessible. These
factors may contribute to its propensity for modification. Certainly, specific interactions with
other residues, local environment and other factors may be involved as well 40-41
.
2.4.7 Effects of MGO Modification on Charge
When an ionizable amino acid is chemically modified, its pKa value may be significantly
perturbed. Using the Advanced Chemistry Development pKa prediction program accessed
through SciFinder, the following values were obtained: guanidinium (12.55, experimental value),
dihydroxyimidazolidine (7.13 +/- 0.6, calculated) and hydroimidazolone (6.93 +/- 0.4,
calculated)42
as shown in Figure 2-6. The lower pKa values imparted by MGO modifications 43
translate to more acidic species, consistent with an earlier elution by weak cation exchange
chromatography. Additionally, the steric bulkiness conferred by MGO modifications may also
interfere with the stationary phase interaction and reduce the binding strength. Conformational
changes are another possible contributor to changes in chromatographic behavior. To this point,
we compared the charge envelopes of both modified and unmodified heavy and light chains
68
obtained by mass spectrometry with respect to charge distribution44-45
. No apparent differences
were seen (data not shown), suggesting no major alteration in high-order structures.
69
Figure 2-6.: Calculated pKa of the core group of arginine and the two products of arginine
modification by methylglyoxal. The pKa of the guanidinium core group is significantly
depressed to 7.13 and 6.93 for the dihydroxyimidazolidine and hydroimidazolone core groups,
respectively
70
2.4.8 Relevance to other Contributing Factors to Acidic Species
The observation of acidic species formation over time and at elevated pH and
temperature is fairly well understood. Several studies have shown that asparagine deamidation
to aspartate and isoaspartate introduces an additional negative charge on proteins 14-19, 46-47
. The
observation of an increase in acidic species occurring as the cell culture progresses appears to be
due to something other than an increase in deamidation as all the samples underwent equivalent
storage and the altered chromatograms differ from those generated in forced deamidation.
Previously, some studies have shown that the introduction of a glycated lysine residue in a
protein can result in an acidic shift seen in weak cation exchange chromatography by perturbing
the charge on the protonated primary amine23
. In many cases, however, these known
modifications cannot fully explain all the acidic species. Our findings suggest that arginine
modification by MGO should be considered.
2.4.9 Formation of MGO as a New Critical Attribute for Cell Culture
Complicated metabolic pathways for methylglyoxal exist in CHO cells. MGO can be
formed enzymatically or non-enzymatically from glucose, e.g., the ene-diol intermediate of
dihydroxyacetone phosphate (DHAP)30, 32, 48-49
. Not surprisingly, many reports of protein
modifications by methylglyoxal come from research related to diabetes in which blood glucose
levels are elevated; and MGO may be involved in the formation of advanced glycation end
products (AGEs). In addition, because of the high reactivity and toxicity of MGO, dedicated
catabolic mechanisms also exist 48-51
. Previous studies highlighted that cells have biochemical
pathways to effectively remove methylglyoxal32
. The glyoxalase pathway is a glutathione-
mediated process which converts methylglyoxal to D-lactate by the glyoxylase I and glyoxylase
II enzymes. In addition, MGO can be reduced to propanediol through the NADPH-dependant
71
aldose reductase pathway. Indeed, Chaplen and coworkers have observed that methylglyoxal
can accumulate in CHO cell cultures due to perturbed regulation in MGO metabolism30-34, 40
.
Under our N (normal) and M (modified) conditions, no detectable differences in glucose
levels were observed; but presumably, other difference did result in the accumulation of
methylglyoxal. Changes in the flux of the glyoxalase pathway may be the cause of this
unexpected appearance of methylglyoxal in the modified conditions. To the best of our
knowledge, this is the first report of such a modification taking place in a CHO cell expression of
a recombinant monoclonal antibody, affecting the quality of the protein products.
It is also important to consider that MGO not only affects the protein product being
expressed, but also broadly affects many proteins in the host cells and possibly their biological
functions. At the cellular level, vigor, viability, cell density and protein production yield may
also be negatively affected. Conversely, elevated MGO formation also reflects a change in
metabolic flex of competing pathways30, 32-33, 48-49, 51-53
. In summary, MGO can be considered a
biomarker of a less than optimal cell culture.
72
2.5 Conclusions
Triggered by changes in cell culture media, a new modification of a recombinant
monoclonal antibody by methylglyoxal (MGO) was identified by a combination of weak cation
exchange chromatography, peptide mapping and mass spectrometry. Modification by MGO,
e.g., the corresponding mass increase of 54 Da and 72 Da for the arginine derivatives, should be
considered when assessing heterogeneity in recombinant proteins. In addition, our finding serves
as a reminder that other unreported modifications are likely to exist in protein pharmaceuticals.
Furthermore, the results demonstrate the critical role of cell culture conditions and downstream
processes in controlling product quality.
73
2.6 References
1. Z. L. Awdeh, A. R. Williamson, B. A. Askonas, One cell-one immunoglobulin. Origin of
limited heterogeneity of myeloma proteins. Biochem J 1970, 116. 241-8.
2. H. Liu, G. Gaza-Bulseco, D. Faldu, C. Chumsae, J. Sun, Heterogeneity of monoclonal
antibodies. J. Pharm. Sci. 2008, 97. 2426-2447.
3. J. Vlasak, R. Ionescu, Heterogeneity of Monoclonal Antibodies Revealed by Charge-
Sensitive Methods. Curr. Pharm. Biotechnol. 2008, 9. 468-481.
4. M. Manning, D. Chou, B. Murphy, R. Payne, D. Katayama, Stability of Protein
Pharmaceuticals: An Update. Pharm. Res. 2010, 27. 544-575, DOI: 10.1007/s11095-009-0045-6.
5. G. Walsh, Post-translational Modification of Protein Biopharmaceuticals. Wiley: 2009.
6. T. Mizuochi, T. Taniguchi, A. Shimizu, A. Kobata, Structural and numerical variations of
the carbohydrate moiety of immunoglobulin G. J Immunol 1982, 129. 2016-20.
7. R. B. Parekh, R. A. Dwek, B. J. Sutton, D. L. Fernandes, A. Leung, D. Stanworth, T. W.
Rademacher, T. Mizuochi, T. Taniguchi, K. Matsuta, et al., Association of rheumatoid arthritis
and primary osteoarthritis with changes in the glycosylation pattern of total serum IgG. Nature
1985, 316. 452-7.
8. R. Jefferis, Glycosylation of Recombinant Antibody Therapeutics. Biotechnol. Progr.
2005, 21. 11-16, DOI: 10.1021/bp040016j.
9. Z. Wang, T. Rejtar, Z. S. Zhou, B. L. Karger, Desulfurization of cysteine-containing
peptides resulting from sample preparation for protein characterization by mass spectrometry.
Rapid Commun. Mass Spectrom. 2010, 24. 267-275, DOI: 10.1002/rcm.4383.
10. T. Zhang, J. Zhang, D. Hewitt, B. Tran, X. Gao, Z. J. Qiu, M. Tejada, H. Gazzano-
Santoro, Y.-H. Kao, Identification and Characterization of Buried Unpaired Cysteines in a
Recombinant Monoclonal IgG1 Antibody. Anal. Chem. 2012, 84. 7112-7123, DOI:
10.1021/ac301426h.
11. H. Reed J, Processing of C-terminal lysine and arginine residues of proteins isolated from
mammalian cell culture. J. Chromatogr. A 1995, 705. 129-134.
12. K. A. Johnson, K. Paisley-Flango, B. S. Tangarone, T. J. Porter, J. C. Rouse, Cation
exchange–HPLC and mass spectrometry reveal C-terminal amidation of an IgG1 heavy chain.
Anal. Biochem. 2007, 360. 75-83.
13. K. G. Moorhouse, W. Nashabeh, J. Deveney, N. S. Bjork, M. G. Mulkerrin, T. Ryskamp,
Validation of an HPLC method for the analysis of the charge heterogeneity of the recombinant
74
monoclonal antibody IDEC-C2B8 after papain digestion. J. Pharm. Biomed. Anal. 1997, 16.
593-603.
14. R. J. Harris, B. Kabakoff, F. D. Macchi, F. J. Shen, M. Kwong, J. D. Andya, S. J. Shire,
N. Bjork, K. Totpal, A. B. Chen, Identification of multiple sources of charge heterogeneity in a
recombinant antibody. Journal of Chromatography B: Biomedical Sciences and Applications
2001, 752. 233-245.
15. L. Huang, J. Lu, V. J. Wroblewski, J. M. Beals, R. M. Riggin, In Vivo Deamidation
Characterization of Monoclonal Antibody by LC/MS/MS. Anal. Chem. 2005, 77. 1432-1439.
16. J. F. Alfaro, L. A. Gillies, H. G. Sun, S. Dai, T. Zang, J. J. Klaene, B. J. Kim, J. D.
Lowenson, S. G. Clarke, B. L. Karger, Z. S. Zhou, Chemo-Enzymatic Detection of Protein
Isoaspartate Using Protein Isoaspartate Methyltransferase and Hydrazine Trapping. Anal. Chem.
2008, 80. 3882-3889, DOI: 10.1021/ac800251q.
17. W. Ni, S. Dai, B. L. Karger, Z. S. Zhou, Analysis of Isoaspartic Acid by Selective
Proteolysis with Asp-N and Electron Transfer Dissociation Mass Spectrometry. Anal. Chem.
2010, 82. 7485-7491, DOI: 10.1021/ac101806e.
18. M. Liu, J. Cheetham, N. Cauchon, J. Ostovic, W. Ni, D. Ren, Z. S. Zhou, Protein
Isoaspartate Methyltransferase-Mediated 18O-Labeling of Isoaspartic Acid for Mass
Spectrometry Analysis. Anal. Chem. 2011, 84. 1056-1062, DOI: 10.1021/ac202652z.
19. S. Dai, W. Ni, A. N. Patananan, S. G. Clarke, B. L. Karger, Z. S. Zhou, Integrated
Proteomic Analysis of Major Isoaspartyl-Containing Proteins in the Urine of Wild Type and
Protein l-Isoaspartate O-Methyltransferase-Deficient Mice. Anal. Chem. 2013, 85. 2423-2430,
DOI: 10.1021/ac303428h.
20. G. Gaza-Bulseco, A. Bulseco, C. Chumsae, H. Liu, Characterization of the glycosylation
state of a recombinant monoclonal antibody using weak cation exchange chromatography and
mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 2008, 862. 155-60. Epub
2007 Dec 8.
21. D. Ouellette, L. Alessandri, A. Chin, C. Grinnell, E. Tarcsa, C. Radziejewski, I. Correia,
Anal. Biochem. 2010, 397. 37.
22. B. Zhang, Y. Yang, I. Yuk, R. Pai, P. McKay, C. Eigenbrot, M. Dennis, V. Katta, K. C.
Francissen, Unveiling a Glycation Hot Spot in a Recombinant Humanized Monoclonal
Antibody. Anal. Chem. 2008, 80. 2379-2390.
23. C. Quan, E. Alcala, I. Petkovska, D. Matthews, E. Canova-Davis, R. Taticek, S. Ma, A
study in glycation of a therapeutic recombinant humanized monoclonal antibody: Where it is,
how it got there, and how it affects charge-based behavior. Anal. Biochem. 2008, 373. 179-191.
75
24. C. Chumsae, G. Gaza-Bulseco, H. Liu, Identification and Localization of Unpaired
Cysteine Residues in Monoclonal Antibodies by Fluorescence Labeling and Mass Spectrometry.
Anal. Chem. 2009, 81. 6449-6457.
25. D. Ren, G. Pipes, G. Xiao, G. R. Kleemann, P. V. Bondarenko, M. J. Treuheit, H. S.
Gadgil, Reversed-phase liquid chromatography–mass spectrometry of site-specific chemical
modifications in intact immunoglobulin molecules and their fragments. J. Chromatogr. A 2008,
1179. 198-204, DOI: 10.1016/j.chroma.2007.11.088.
26. T. Zang, S. Dai, D. Chen, B. W. K. Lee, S. Liu, B. L. Karger, Z. S. Zhou, Chemical
Methods for the Detection of Protein N-Homocysteinylation via Selective Reactions with
Aldehydes. Anal. Chem. 2009, 81. 9065-9071, DOI: 10.1021/ac9017132.
27. H. Jakubowski, Protein N-homocysteinylation: implications for atherosclerosis.
Biomedicine & Pharmacotherapy 2001, 55. 443-447, DOI: 10.1016/s0753-3322(01)00085-
3.
28. N. Ahmed, P. J. Thornalley, Peptide Mapping of Human Serum Albumin Modified
Minimally by Methylglyoxal in Vitro and in Vivo. Ann. N.Y. Acad. Sci. 2005, 1043. 260-266,
DOI: 10.1196/annals.1333.031.
29. A. Mostafa, E. Randell, S. Vasdev, V. Gill, Y. Han, V. Gadag, A. Raouf, H. El Said,
Plasma protein advanced glycation end products, carboxymethyl cysteine, and carboxyethyl
cysteine, are elevated and related to nephropathy in patients with diabetes. Mol. Cell. Biochem.
2007, 302. 35-42, DOI: 10.1007/s11010-007-9422-9.
30. S. Kingkeohoi, F. R. Chaplen, Analysis of Methylglyoxal Metabolism in CHO Cells
Grown in Culture. Cytotechnology 2005, 48. 1-13, DOI: 10.1007/s10616-005-1920-6.
31. F. R. Chaplen, W. Fahl, D. Cameron, Effect of endogenous methylglyoxal on Chinese
hamster ovary cells grown in culture. Cytotechnology 1996, 22. 33-42, DOI:
10.1007/bf00353922.
32. F. W. R. Chaplen, W. E. Fahl, D. C. Cameron, Evidence of high levels of methylglyoxal
in cultured Chinese hamster ovary cells. Proceedings of the National Academy of Sciences 1998,
95. 5533-5538.
33. F. R. Chaplen, Incidence and potential implications of the toxic metabolite methylglyoxal
in cell culture: A review. Cytotechnology 1998, 26. 173-183, DOI: 10.1023/a:1007953628840.
34. F. Van Herreweghe, J. Mao, F. W. R. Chaplen, J. Grooten, K. Gevaert, J.
Vandekerckhove, K. Vancompernolle, Tumor necrosis factor-induced modulation of glyoxalase I
activities through phosphorylation by PKA results in cell death and is accompanied by the
formation of a specific methylglyoxal-derived AGE. Proceedings of the National Academy of
Sciences 2002, 99. 949-954, DOI: 10.1073/pnas.012432399.
76
35. J. F. Alfaro, T. Zhang, D. P. Wynn, E. L. Karschner, Z. S. Zhou, Synthesis of LuxS
Inhibitors Targeting Bacterial Cell−Cell Communication. Org. Lett. 2004, 6. 3043-3046, DOI:
10.1021/ol049182i.
36. G. Zhao, W. Wan, S. Mansouri, J. F. Alfaro, B. L. Bassler, K. A. Cornell, Z. S. Zhou,
Chemical synthesis of S-ribosyl-l-homocysteine and activity assay as a LuxS substrate. Bioorg.
Med. Chem. Lett. 2003, 13. 3897-3900, DOI: http://dx.doi.org/10.1016/j.bmcl.2003.09.015.
37. S. Biastoff, M. Teuber, Z. Zhou, B. Dräger, Colorimetric Activity Measurement of a
Recombinant Putrescine < i > N < / i > - Methyltransferase from < i > Datura stramonium < / i >.
Planta Med. 2006, 72. 1136.
38. M. Liu, Z. Zhang, T. Zang, C. Spahr, J. Cheetham, D. Ren, Z. S. Zhou, Discovery of
Undefined Protein Cross-Linking Chemistry: A Comprehensive Methodology Utilizing 18O-
Labeling and Mass Spectrometry. Anal. Chem. 2013. DOI: 10.1021/ac400666p.
39. M. U. Ahmed, E. Brinkmann Frye, T. P. Degenhardt, S. R. Thorpe, J. W. Baynes, N-
epsilon-(carboxyethyl)lysine, a product of the chemical modification of proteins by
methylglyoxal, increases with age in human lens proteins. Biochem. J. 1997, 324. 565-570.
40. Z. S. Zhou, A. Flohr, D. Hilvert, An Antibody-Catalyzed Allylic Sulfoxide−Sulfenate
Rearrangement. The Journal of Organic Chemistry 1999, 64. 8334-8341, DOI:
10.1021/jo991299a.
41. Z. S. Zhou, N. Jiang, D. Hilvert, An Antibody-Catalyzed Selenoxide Elimination. J. Am.
Chem. Soc. 1997, 119. 3623-3624, DOI: 10.1021/ja963748j.
42. M. A. Gauthier, H.-A. Klok, Arginine-specific modification of proteins with polyethylene
glycol. Biomacromolecules 2011, 12. 482-493, DOI: 10.1021/bm101272g.
43. N. Ahmed, D. Dobler, M. Dean, P. J. Thornalley, Peptide Mapping Identifies Hotspot
Site of Modification in Human Serum Albumin by Methylglyoxal Involved in Ligand Binding
and Esterase Activity. J. Biol. Chem. 2005, 280. 5724-5732, DOI: 10.1074/jbc.M410973200.
44. A. Dobo, I. A. Kaltashov, Detection of Multiple Protein Conformational Ensembles in
Solution via Deconvolution of Charge-State Distributions in ESI MS. Anal. Chem. 2001, 73.
4763-4773, DOI: 10.1021/ac010713f.
45. S. Watt, M. Sheil, J. Beck, P. Prosselkov, G. Otting, N. Dixon, Effect of protein
stabilization on charge state distribution in positive- and negative-ion electrospray ionization
mass spectra. J. Am. Soc. Mass. Spectrom. 2007, 18. 1605-1611, DOI:
10.1016/j.jasms.2007.06.004.
46. M. Perkins, R. Theiler, S. Lunte, M. Jeschke, Determination of the Origin of Charge
Heterogeneity in a Murine Monoclonal Antibody. Pharm. Res. 2000, 17. 1110-1117.
77
47. D. Chelius, D. S. Rehder, P. V. Bondarenko, Identification and Characterization of
Deamidation Sites in the Conserved Regions of Human Immunoglobulin Gamma Antibodies.
Anal. Chem. 2005, 77. 6004-6011.
48. N. Ahmed, P. J. Thornalley, Advanced glycation endproducts: what is their relevance to
diabetic complications? Diabetes, Obesity and Metabolism 2007, 9. 233-245, DOI:
10.1111/j.1463-1326.2006.00595.x.
49. N. Rabbani, P. J. Thornalley, Glyoxalase in diabetes, obesity and related disorders.
Semin. Cell Dev. Biol. 2011, 22. 309-317, DOI: http://dx.doi.org/10.1016/j.semcdb.2011.02.015.
50. A. Hipkiss, Can the beneficial effects of methionine restriction in rats be explained in part
by decreased methylglyoxal generation resulting from suppressed carbohydrate metabolism?
Biogerontology 2012, 13. 633-636, DOI: 10.1007/s10522-012-9401-8.
51. R. K. Saxena, P. Anand, S. Saran, J. Isar, L. Agarwal, Microbial production and
applications of 1,2-propanediol. Indian J. Microbiol. 2010, 50. 2-11, DOI: 10.1007/s12088-010-
0017-x.
52. R. G. Matthews, A. E. Smith, Z. S. Zhou, R. E. Taurog, V. Bandarian, J. C. Evans, M.
Ludwig, Cobalamin-Dependent and Cobalamin-Independent Methionine Synthases: Are There
Two Solutions to the Same Chemical Problem? Helv. Chim. Acta 2003, 86. 3939-3954, DOI:
10.1002/hlca.200390329.
53. M. Jack, D. Wright, Role of advanced glycation endproducts and glyoxalase I in diabetic
peripheral sensory neuropathy. Translational Research 2012, 159. 355-365, DOI:
http://dx.doi.org/10.1016/j.trsl.2011.12.004.
78
SUPPORTING INFORMATION
Table of Contents
Figure S2-1 Comparison of peptide MS data between acidic peaks from cell culture and acidic
fractions from methylglyoxal incubation 79
Figure S2-2 Comparison of peptide MS/MS data between acidic peaks from cell culture and
acidic peaks from methylglyoxal incubation 80
Figure S2-3 Reduced analysis of light chain from peaks 1 and 2 formed during cell culture
81
Figure S2-4 Reduced analysis of heavy chain from peaks 1 and 2 formed during cell culture
82
Figure S2-5 Formation of Peak 1 and Peak 2 during cell culture 83
Table S2-1 Results of manual search of methylglyoxal modified peptides found in the
recombinant antibody 84
Table S2-2 Raw data values of Lys-C peptide peak intensity from Cell Culture WCX
fractions 1 and 2 85
Table S2-3 Relative Intensity of Lys-C peptides from Cell Culture WCX fractions 1 and 2
85
Figure S2-6 Detection limit of reduced LC/MS to detect MGO (+54 Da) 86
79
Figure S-1.: Comparison of peptide MS data between acidic peaks from cell culture and acidic
fractions from methylglyoxal incubation. The data shows the corresponding mass spectra of a
3+ ion representing a mis-cleaved peptide with a mass increase of 54 daltons.
ASQGIR(MGO)NYLAQYQQKPGK
Cell Culture Fraction 1
MGO Spike Fraction 1
M+H=2162.1 da
M+H=2162.1 da
720.0 720.5 721.0 721.5 722.0 722.5 723.0 723.5 724.0 724.5
m/z
0
10
20
30
40
50
60
70
80
90
100
0
10
20
30
40
50
60
70
80
90
100R
ela
tive A
bun
dance
721.71
721.38
722.05
722.38
722.71
723.05720.71 721.04720.37 723.39
721.24
721.85
722.18
721.58
722.52
723.72 724.06 724.40
721.71
721.38
722.05
722.38
722.71
723.05721.04 723.38
721.65721.32
722.11
721.78
720.82722.44
720.43 723.85720.14 724.40
M+3H
M+3H
ASQGIR(MGO)NYLAQYQQKPGK
Cell Culture Fraction 1
MGO Spike Fraction 1
M+H=2162.1 da
M+H=2162.1 da
720.0 720.5 721.0 721.5 722.0 722.5 723.0 723.5 724.0 724.5
m/z
0
10
20
30
40
50
60
70
80
90
100
0
10
20
30
40
50
60
70
80
90
100R
ela
tive A
bun
dance
721.71
721.38
722.05
722.38
722.71
723.05720.71 721.04720.37 723.39
721.24
721.85
720.0 720.5 721.0 721.5 722.0 722.5 723.0 723.5 724.0 724.5
m/z
0
10
20
30
40
50
60
70
80
90
100
0
10
20
30
40
50
60
70
80
90
100R
ela
tive A
bun
dance
721.71
721.38
722.05
722.38
722.71
723.05720.71 721.04720.37 723.39
721.24
721.85
722.18
721.58
722.52
723.72 724.06 724.40
721.71
721.38
722.05
722.38
722.71
723.05721.04 723.38
721.65721.32
722.11
721.78
720.82722.44
720.43 723.85720.14 724.40
M+3H
M+3H
80
Figure S-2 : The figure shows the total ion current (top), the native peptide (second pane), the
peptide modified by one MGO (+54 da) and lastly, a trace showing no evidence of the second
arginine within this peptide being modified. The site was identified by previous tryptic digest
and the degree of modification was determined by the percent of the respective peaks in the
XIC’s of the native and MGO modified peptides
Da )
81
Figure S-3.: The figure displays a mass spectrum of a heavy chain Lys-C peptide showing the
isotopic distributions of the +5 charge state (Arg93 internalized). In this manner, the native and
the two MGO products of a single modified arginine can be seen within the same spectrum.
82
Figure S-4.: Mass spectra of the light chain for a pure 0 Lys are shown over the five hour period.
The additional peaks of +54da and +72da have formed and have greatly increased the observed
mass heterogeneity. The formation of the additional peaks is in agreement with the observed
peaks from the acidic fractions isolated from cell culture. The control was incubated for the
entire five hour period but without the addition of methylglyoxal and subsequently showed no
added complexity or formation of additional peaks.
6x10
0
523407.77
23388.39 23426.77
6x10
0
2
4 23407.75
23479.4323388.41 23426.96 23615.7423551.5323515.41 23581.90
6x10
0
2
23407.69
23461.44
23551.5423443.4623388.48 23515.35 23617.1923586.92 23641.47
6x10
0
1
223407.69
23461.67
23479.5223551.55
23515.3523443.19 23605.1223388.49 23641.85
6x10
0
1
2 23407.67 23461.69
23479.5323551.56
23515.44 23605.5923443.0923388.48 23569.87 23642.29
6x10
0
1
23461.6923407.67
23551.5423479.5423515.42 23605.7523442.95 23569.8023388.47 23642.04
23340 23360 23380 23400 23420 23440 23460 23480 23500 23520 23540 23560 23580 23600 23620 23640
Control
5 hours
4 hours
3 hours
2 hours
1 hour
6x10
0
523407.77
23388.39 23426.77
6x10
0
2
4 23407.75
23479.4323388.41 23426.96 23615.7423551.5323515.41 23581.90
6x10
0
2
23407.69
23461.44
23551.5423443.4623388.48 23515.35 23617.1923586.92 23641.47
6x10
0
1
223407.69
23461.67
23479.5223551.55
23515.3523443.19 23605.1223388.49 23641.85
6x10
0
1
2 23407.67 23461.69
23479.5323551.56
23515.44 23605.5923443.0923388.48 23569.87 23642.29
6x10
0
1
23461.6923407.67
23551.5423479.5423515.42 23605.7523442.95 23569.8023388.47 23642.04
23340 23360 23380 23400 23420 23440 23460 23480 23500 23520 23540 23560 23580 23600 23620 23640
Control
5 hours
4 hours
3 hours
2 hours
1 hour
6x10
0
523407.77
23388.39 23426.77
6x10
0
2
4 23407.75
23479.4323388.41 23426.96 23615.7423551.5323515.41 23581.90
6x10
0
2
23407.69
23461.44
23551.5423443.4623388.48 23515.35 23617.1923586.92 23641.47
6x10
0
1
223407.69
23461.67
23479.5223551.55
23515.3523443.19 23605.1223388.49 23641.85
6x10
0
1
2 23407.67 23461.69
23479.5323551.56
23515.44 23605.5923443.0923388.48 23569.87 23642.29
6x10
0
1
23461.6923407.67
23551.5423479.5423515.42 23605.7523442.95 23569.8023388.47 23642.04
23340 23360 23380 23400 23420 23440 23460 23480 23500 23520 23540 23560 23580 23600 23620 23640
Control
5 hours
4 hours
3 hours
2 hours
1 hour
6x10
0
523407.77
23388.39 23426.77
6x10
0
2
4 23407.75
23479.4323388.41 23426.96 23615.7423551.5323515.41 23581.90
6x10
0
2
23407.69
23461.44
23551.5423443.4623388.48 23515.35 23617.1923586.92 23641.47
6x10
0
1
223407.69
23461.67
23479.5223551.55
23515.3523443.19 23605.1223388.49 23641.85
6x10
0
1
2 23407.67 23461.69
23479.5323551.56
23515.44 23605.5923443.0923388.48 23569.87 23642.29
6x10
0
1
23461.6923407.67
23551.5423479.5423515.42 23605.7523442.95 23569.8023388.47 23642.04
23340 23360 23380 23400 23420 23440 23460 23480 23500 23520 23540 23560 23580 23600 23620 23640
6x10
0
523407.77
23388.39 23426.77
6x10
0
2
4 23407.75
23479.4323388.41 23426.96 23615.7423551.5323515.41 23581.90
6x10
0
2
23407.69
23461.44
23551.5423443.4623388.48 23515.35 23617.1923586.92 23641.47
6x10
0
1
223407.69
23461.67
23479.5223551.55
23515.3523443.19 23605.1223388.49 23641.85
6x10
0
1
2 23407.67 23461.69
23479.5323551.56
23515.44 23605.5923443.0923388.48 23569.87 23642.29
6x10
0
1
23461.6923407.67
23551.5423479.5423515.42 23605.7523442.95 23569.8023388.47 23642.04
23340 23360 23380 23400 23420 23440 23460 23480 23500 23520 23540 23560 23580 23600 23620 23640
Control
5 hours
4 hours
3 hours
2 hours
1 hour
6x10
0
523407.77
23388.39 23426.77
6x10
0
2
4 23407.75
23479.4323388.41 23426.96 23615.7423551.5323515.41 23581.90
6x10
0
2
23407.69
23461.44
23551.5423443.4623388.48 23515.35 23617.1923586.92 23641.47
6x10
0
1
223407.69
23461.67
23479.5223551.55
23515.3523443.19 23605.1223388.49 23641.85
6x10
0
1
2 23407.67 23461.69
23479.5323551.56
23515.44 23605.5923443.0923388.48 23569.87 23642.29
6x10
0
1
23461.6923407.67
23551.5423479.5423515.42 23605.7523442.95 23569.8023388.47 23642.04
23340 23360 23380 23400 23420 23440 23460 23480 23500 23520 23540 23560 23580 23600 23620 23640
6x10
0
523407.77
23388.39 23426.77
6x10
0
2
4 23407.75
23479.4323388.41 23426.96 23615.7423551.5323515.41 23581.90
6x10
0
2
23407.69
23461.44
23551.5423443.4623388.48 23515.35 23617.1923586.92 23641.47
6x10
0
1
223407.69
23461.67
23479.5223551.55
23515.3523443.19 23605.1223388.49 23641.85
6x10
0
1
2 23407.67 23461.69
23479.5323551.56
23515.44 23605.5923443.0923388.48 23569.87 23642.29
6x10
0
1
23461.6923407.67
23551.5423479.5423515.42 23605.7523442.95 23569.8023388.47 23642.04
23340 23360 23380 23400 23420 23440 23460 23480 23500 23520 23540 23560 23580 23600 23620 23640
Control
5 hours
4 hours
3 hours
2 hours
1 hour
83
Figure S-5.: Mass spectra of the heavy chain for a pure 0 Lys are shown over the five hour
period. The additional peaks of +54da and +72da have formed and have greatly increased the
observed mass heterogeneity.
6x10
0
2
50634.32
50796.3450730.59 50958.81
6x10
0
1
2 50635.37
50707.31 50797.5450869.05
6x10
0
1
50633.1150705.05
50795.21 50867.05 50914.46 51005.15
5x10
0
5
50635.53 50707.51
50779.1650848.22 50917.67 50988.53 51061.96
5x10
0
5
50707.9750636.05
50779.74
50849.6850919.01 50989.13 51061.18
5x10
0
550707.8050635.74
50779.47
50849.9450919.84
50989.58 51060.14
50500 50550 50600 50650 50700 50750 50800 50850 50900 50950 51000 51050 51100
Control
5 hours
4 hours
3 hours
2 hours
1 hour
6x10
0
2
50634.32
50796.3450730.59 50958.81
6x10
0
1
2 50635.37
50707.31 50797.5450869.05
6x10
0
1
50633.1150705.05
50795.21 50867.05 50914.46 51005.15
5x10
0
5
50635.53 50707.51
50779.1650848.22 50917.67 50988.53 51061.96
5x10
0
5
50707.9750636.05
50779.74
50849.6850919.01 50989.13 51061.18
5x10
0
550707.8050635.74
50779.47
50849.9450919.84
50989.58 51060.14
50500 50550 50600 50650 50700 50750 50800 50850 50900 50950 51000 51050 51100
6x10
0
2
50634.32
50796.3450730.59 50958.81
6x10
0
1
2 50635.37
50707.31 50797.5450869.05
6x10
0
1
50633.1150705.05
50795.21 50867.05 50914.46 51005.15
5x10
0
5
50635.53 50707.51
50779.1650848.22 50917.67 50988.53 51061.96
5x10
0
5
50707.9750636.05
50779.74
50849.6850919.01 50989.13 51061.18
5x10
0
550707.8050635.74
50779.47
50849.9450919.84
50989.58 51060.14
50500 50550 50600 50650 50700 50750 50800 50850 50900 50950 51000 51050 51100
Control
5 hours
4 hours
3 hours
2 hours
1 hour
84
Table S-1.: Results of manual search of methylglyoxal modified peptides found in the
recombinant antibody
MGO Modified Tryptic Peptides (mis-cleavages) ASQGIR*NYLAWYQQKPGK
YNR*APYTFGQGTK
R*TVAAPSVFIFPPSDEQLK
EVQLVESGGGLVQPGR*SLR
DTLMISR*TPEVTCVVVDVSHEDPEVK
EPQVYTLPPSR*DELTK
SR*WQQGNVFSCSVMHEALHNHYTQK
85
Table S-2: Raw data values of Lys-C peptide peak intensity from Cell Culture WCX fractions 1
and 2
Fraction 1 Peak Intensities Fraction 2 Peak Intensities
Site Unmod. MGO(+54) MGO(+72) Unmod. MGO(+54) MGO(+72)
LC30 273429695 138486086 27697217 398154884 86277387.5 19843799
LC93 637430527 54150819 10830164 517745203 52710066.9 12123315
LC108 567693294 2761976.3 552395.27 293643660 980063.272 225414.55
HC16 517056804 73797731 14759546 672482015 90574849.9 20832215
HC259 478982501 47025077 9405015.5 614438486 64274080 14783038
HC359 321068113 41433990 8286798.1 451460954 53981224.7 12415682
HC420 359124190 14302232 2860446.4 416919964 15076683 3467637.1
Table S-3: Relative Intensity of Lys-C peptides from Cell Culture WCX fractions 1 and 2
Fraction 1 Peak Intensities Fraction 2 Peak Intensities
Site Unmod. MGO (+54) MGO (+54) Unmod. MGO (+72) MGO
(+72)
LC30 1.00 0.506477855 0.216693028 1.00 0.101295571 0.0498394
LC93 1.00 0.08495172 0.101806963 1.00 0.016990344 0.0234156
LC108 1.00 0.004865262 0.003337594 1.00 0.000973052 0.00076765
HC16 1.00 0.142726546 0.134687394 1.00 0.028545309 0.0309781
HC259 1.00 0.098177026 0.104606208 1.00 0.019635405 0.02405943
HC359 1.00 0.129050469 0.119570085 1.00 0.025810094 0.02750112
HC420 1.00 0.039825309 0.036162056 1.00 0.007965062 0.00831727
86
A. Reduced Light Chain
B. Expanded view of the +54 Da modified light chain
Figure S-6: Detection limit of reduced LC/MS to detect MGO (+54 Da) . The deconvoluted
mass spectrum of reduced light chain spiked with MGO modified light chain (top pane is full
view and bottom pane focuses on the +54 Da species). Modified light chain was spiked into
native light chain to deduce the level at which the +54 Da peak could be detected without an
enrichment step. Tha data shows overlaid traces at 10%, 7.5%, 5%, 2.5%, 2%, 1%, 0.5%, 0.1%
and 0% modified antibody spikes. The +54 Da peak was detected at 2% modification and was
unambiguously identified at 5% modification on our instrument.
Light Chain
+54 Da (MGO)
10%
7.5%
5%
2.5%
2%
1%(0.5, 0.1, 0)
+54 Da (MGO)
87
Chapter 3 Discovery of a Chemical Modification by Citric Acid in a Recombinant
Monoclonal Antibody
This chapter is based on a published paper with the same title
Analytical Chemistry 2014, 86(18):8932-6
3.1 Abstract
Recombinant therapeutic monoclonal antibodies exhibit a high degree of heterogeneity
that can arise from various post-translational modifications. The formulation for a protein
product is to maintain a specific pH and to minimize further modifications. Generally
Recognized as Safe (GRAS), citric acid is commonly used for formulation to maintain a pH at a
range between 3 and 6, and is generally considered chemically inert. However, as we reported
herein, citric acid covalently modified a recombinant monoclonal antibody (IgG1) in a
phosphate/citrate-buffered formulation at pH 5.2, and led to the formation of so-called “acidic
species” that showed mass increases of 174 and 156 Da, respectively. Peptide mapping revealed
that the modification occurred at the N-terminus of the light chain. Three additional antibodies
also showed the same modification but displayed different susceptibilities of the N-termini of the
light chain, heavy chain or both. Thus, ostensibly unreactive excipients under certain conditions
may increase heterogeneity and acidic species in formulated recombinant monoclonal antibodies.
By analogy, other molecules (e.g., succinic acid) with two or more carboxylic acid groups and
capable of forming an anhydride may exhibit similar reactivities. Altogether, our findings again
remind us that it is prudent to consider formulations as a potential source for chemical
modifications and product heterogeneity.
88
3.2 Introduction
As most protein pharmaceuticals, recombinant monoclonal antibodies have a higher
degree of inherent complexity as compared to traditional small molecule drugs. Various protein
post-translational modifications (PTM’s) have been well documented as major contributors to
heterogeneity observed in recombinant monoclonal antibodies1-6
. Some of these processes occur
during cell culture, such as modifications by reactive metabolites (e.g. methylglyoxal and
homocysteine thiolactone)7-8
, glycosylation and sialic acid incorporation9-17
; while others can
occur through production, purification and storage, such as oxidation18-21
, deamidation22-27
,
crosslinking28-29
, protein-protein interactions30
and fragmentation31-34
.
An important part of drug development is to optimize formulation for a given
biotherapeutic35-36
. The formulation should minimize unwanted modifications or degradation
during storage3, 37
. For example, polysorbate80 may be added to mitigate aggregation38-41
. Free
methionine may reduce the formation of methionine sulfoxide in proteins42-45
. A critical aspect
of formulation is the control of pH. One major reason is to minimize the deamidation of
asparagine, a spontaneous non-enzymatic process that occurs in all monoclonal antibodies and
the vast majority of protein pharmaceuticals16, 22, 24-26, 46-47
. Specifically, mildly acidic pH has
been shown to reduce deamidation of asparagine22-27
.
While almost all excipients added to the biotherapeutic formulation are Generally
Recognized as Safe (GRAS) and considered chemically inert (i.e., free from reactions with the
protein products), they may nonetheless display unexpected reactivities. For example,
autoxidation of polysorbate 80 generated radicals that in turn increased the oxidative liabilities of
the formulation, e.g., increases in methionine sulfoxide48
. Photo-oxidation also induces
cleavage, crosslinking and aggregation13, 29, 34, 49-50
. Glycation has been reported when glucose (a
89
reducing sugar with a hemiacetal or aldehyde group) was added to a lyophilized protein drug51
.
As a result of this finding, sucrose (devoid of hemiacetal or aldehyde group) was used instead to
reduce aggregation52
. Yet, in other studies, the glycosidic bond of non-reducing sucrose was
shown to hydrolyze into glucose and fructose, resulting in glycation during storage53-54
.
Pertinent to this work, photochemical degradation of citric acid led to acetonation of therapeutic
proteins55
. Therefore, it is important to thoroughly evaluate the protein drug integrity following
storage in the defined formulation and to screen for unexpected reactivity and modifications.
As reported herein, we observed an early eluting peak (i.e., acidic species) in the weak
cation exchange (WCX) chromatogram for an antibody in citric acid formulation. Peptide
mapping and mass spectrometric analysis revealed that covalent modifications by citric acid led
to the formation of amides (mass increase of 174 daltons) and/or imides (mass increase of 156
daltons) at the N-terminus of the light chain56
. Furthermore, three additional recombinant
monoclonal antibodies displayed a similar susceptibility of the N-termini of both the light and
heavy chains. To the best of our knowledge, this is the first report of a citric acid modification of
recombinant monoclonal antibodies. By analogy, other molecules (e.g., succinic acid) with two
or more carboxylic acid groups and capable of forming an anhydride may exhibit similar
reactivities57-58
. Altogether, our findings again remind us that it is prudent to carefully consider
formulation excipients as a potential source for chemical modifications.
90
3.3 Materials and Methods:
3.3.1 Materials
The recombinant monoclonal IgG1 antibody was produced by stably transfected Chinese
hamster ovary (CHO) cells cultured in a bioreactor and purified at AbbVie Bioresearch Center
(Worcester, MA). Dithiothreitol (DTT) was from Sigma (St. Louis, MO). Acetonitrile and
trifluoroacetic acid (TFA) were from J.T. Baker (Phillipsburg, NJ). Formic acid (FA) was from
EMD (Gibbstown, NJ). Trypsin was from Worthington (Lakewood, NJ). Endoproteinase Lys-C
was from Roche (Indianapolis, IN). Guanidine-HCl was from Thermo Scientific (Rockford, IL).
Citric acid (monohydrate, cat.# 0110-01) and sodium citrate (dehydrate, cat. # 3647-05) were
from JT Baker (Phillipsburg, NJ). The citrate formulation consisted of a 1 mM sodium citrate,
6.5 mM citric acid combined with Na2HPO4, polysorbate 80 and mannitol with the pH adjusted
to 5.2 with sodium hydroxide. The 20X citrate buffer consisted of 20 mM sodium citrate, 130
mM citric acid combined with Na2HPO4 with the pH adjusted to 5.2 with sodium hydroxide.
Antibody A, Antibody A-S, Antibody B and Antibody C were all recombinant monoclonal
antibodies (IgG1’s) produced at AbbVie Bioresearch Center, Worcester, MA.
3.3.2 Weak cation exchange (WCX) chromatography
The antibody in low salt buffer was loaded onto a ProPac 4 x 250 mm WCX-10 column
(ThermoFisher, Sunnyvale, CA) at 94% mobile phase A (10 mM sodium phosphate, pH 7.5) and
6% mobile phase B (10 mM sodium phosphate and 500 mM sodium chloride, pH 5.5) at a flow-
rate of 1 mL/min59
. The percentage of mobile phase B was increased from 6% to 16% over 20
min to elute the antibody monitored by UV absorbance at 280 nm. The column was then washed
91
using 100% mobile phase B and then equilibrated using 6% mobile phase B for 9 minutes
between injections.
3.3.3 LC-MS analysis of reduced antibody
Light chain and heavy chain of the antibody from different fractions were analyzed using
an HPLC (Agilent 1260, Santa Clara, CA) with a reversed phase column (Vydac, C4, 1 x 150
mm, 5µ particle size) coupled to a Q-TOF mass spectrometer (Agilent, 6510). Antibody was
reduced using DTT (10 mM final concentration) at 37ºC for 30 minutes. Ten microliters of each
sample was loaded at 95% mobile phase A (0.08% FA and 0.02% TFA in Milli-Q water) and 5%
mobile phase B (0.08% FA and 0.02% TFA in acetonitrile) and then eluted using a gradient from
5% mobile phase B to 35% mobile phase B in 20 min. The column was washed using 90%
mobile phase B and equilibrated using 5% mobile phase B for 10 min. The flow rate was 50
µL/min and column oven temperature was set at 60 ºC. The mass spectrometer was operated in
positive ion mode with a scan range from m/z 600 to 3200. Ion spray voltage was 4500 volts and
the source temperature was 350 ºC.
3.3.4 Tryptic digestion
Proteins were denatured using 6 M guanidine hydrochloride in 100 mM Tris, pH 8.0 and
reduced using 10 mM DTT at 37 ºC for 30 min. Alkylation was performed using 25 mM
iodoacetic acid in 1M Tris pH 8.0 at 37 ºC for 30 min. The samples were buffer exchanged to 10
mM Tris pH 8.0 using NAP-5 columns (GE Healthcare, Piscataway, NJ). The samples were
digested with trypsin at 1:20 (w:w, enzyme:antibody) at 37 ºC for 4 hours.
92
3.3.5 LC-MS analysis of peptides
An UPLC (Acquity, Waters, Milford, MA) equipped with a UPLC C18 column (Waters,
1 x 150 mm i.d., 1.7µ particle size) and a Thermo Scientific LTQ-Orbitrap Velos mass
spectrometer (Thermo Fisher, West Palm Beach, FL) were used to analyze peptide samples.
Forty µL of each sample was loaded at 98% mobile phase A (0.08% formic acid and 0.02% TFA
in Milli-Q water) and 2% mobile phase B (0.08% formic acid and 0.02% TFA in acetonitrile)
and then eluted using a gradient from 2% mobile phase B to 35% mobile phase B in 80 min. The
column was washed using 90% mobile phase B and equilibrated using 2% mobile phase B for 10
min. The flow rate was 50µL/min and column oven temperature was set at 60 ºC. The mass
spectrometer was operated in positive ion mode with a scan range from m/z 400 to 2000 with
alternating low energy collision induced dissociation (CID) and high energy collision induced
dissociation (HCD) of the three most abundant parent masses. Ion spray voltage was set at 4500
volts and the source temperature was set at 350 ºC. The data were analyzed by searching
extracted mass chromatograms (XIC) of tryptic peptides with mass increases of 156 and 174
daltons. The data were also searched against the theoretical primary structure using the Sequest
algorithm and selecting the observed variant increases (Thermo Scientific, West Palm Beach,
FL).
3.3.6 Reaction of citric acid buffer with the monoclonal antibodies
A 20X citric acid buffer (10 mM Na2HPO4, 20 mM Na citrate/130 mM citric Acid pH
5.2), in which the citric acid concentration was 20-fold of that of the formulation solution, was
prepared. Antibody A was diluted to 1 mg/mL in this 20X buffer and stored at 40 ºC for up to 30
days. Antibody A incubated under the same conditions in actual 1X formulation buffer was used
93
as a control. In addition, Antibody A was stored in the 20X citrate buffer with the pH adjusted
up to 7.0. Sample aliquots were removed at days 5, 10, 15, 20 and 30 and stored at -80 ºC until
analysis. The samples were analyzed by WCX-10 as described in the previous section.
3.3.7 N-Terminal Variants and Additional IgG’s
An analog of Antibody A was produced in which the N-terminal residues of the light
chain and heavy chain were swapped (see Table 1). The resulting antibody (Antibody A-S) had
a glutamate at the N-terminus of the light chain and an aspartate at the N-terminus of the heavy
chain. Two other recombinant IgG1’s, Antibody B and Antibody C were also used for the study.
The N-terminal sequences (first ten residues) of all the antibodies are shown in Table 1.
Antibody A-S and the recombinant IgG1’s were formulated into the 20X citrate buffer at pH 5.2
as described in the previous section. The samples were incubated at 40 ºC for 30 days.
Following the incubation, the samples (including Antibody A in 20X citrate) were analyzed by
reduced LC/MS and tryptic mapping with MS/MS detection for the presence and abundance of
the citric acid modifications.
94
3.4 Results and Discussion
As detailed below, we found that citric acid covalently modified the N-termini of either
or both the light and heavy chains in four different antibodies. Our analysis and results are
consistent with the mechanism depicted in Scheme 1 with the anhydrides of citric acid as key
intermediates.
95
Scheme 3-1: (I) Formation of a citric acid anhydride intermediate from citric acid and the
subsequent reaction of the N-terminal amine with the anhydride; (II) The four possible products
of the reaction; +174A and +174B represent adducts formed between the N-terminal amine and
the citric acid anhydride. The +156A and +156B represent the subsequent imide products (5 and
6-membered rings, respectively) resulting from the cyclization of the newly formed amide and
another carboxylic acid in citric acid. There are three carboxylic acids in citric acid: two are
equivalent as denoted by the red dots and the other by the blue dot.
I.
II.
96
3.4.1 Unexpected covalent modifications by citric acid
A recombinant monoclonal antibody (Antibody A) was stored at 40 ºC for 6 months in
two different formulations to determine if there were any major differences in the protein
stability. One formulation had 1 mM sodium citrate, 6.5 mM citric acid and the other
formulation was without sodium citrate/citric acid; both had mannitol and polysorbate 80 and
were at pH 5.2. Analysis of the samples by weak cation exchange (WCX) chromatography
revealed that significant degradation and accumulation of multiple acidic species in both samples
(see Figure 3-1). Most noticeably, the citrate formulation induced a very early eluting and well-
defined peak (Peak A in Figure 3-1) that was absent in the other sample. This finding prompted
us to perform subsequent analysis in order to determine the nature of these species.
97
Figure 3-1: The weak cation exchange chromatogram of the recombinant monoclonal antibody
formulated with and without citrate. The top trace shows an early eluting acidic peak (Peak A)
which is significantly smaller in the formulation without citrate. The control represents
Antibody A in the citrate formulation stored at 4 ºC.
98
3.4.2 Reduced LC/MS Analysis
Peak A fractions were examined by reduced LC/MS (see Figure 3-2). The major peak
(observed mass 23408 Da) corresponded to the native light chain (theoretical mass 23408 Da).
Two other masses of 23564 and 23582 were observed: increases of 156 and 174 Da,
respectively. Pertinent to the mechanism of formation discussed later, these two masses differ by
18 Da and are likely due to the loss of a water molecule. In addition, a mass of 23570 Da was
determined to be a glycation product (+162 Da).
99
Figure 3-2: Mass spectra of the light chain from reduced LC/MS analysis. Full scale spectrum is
shown at the left and expanded view is shown at the right. All samples were stored in citric acid
buffer at 40 ºC except the control which was stored at 4 ºC. (A) 1 mM sodium citrate, 6.5 mM
citric acid at pH 5.2 for 6 months; (B) 1 mM sodium citrate, 6.5 mM citric acid at pH 5.2 for 1
months; (C) 20 mM sodium citrate, 130 mM citric acid at pH 5.2 for 1 month (D) 20 mM sodium
100
citrate, 130 mM citric acid at pH 7.0 for 1 month (E) Light chain control (same as A except
stored at 4 ºC for 1 month).
101
3.4.3 Peptide Mapping and Determination of Sites of Modifications in antibody A
Peptide mapping with mass spectrometric detection revealed three tryptic
peptides present in the formulation with citrate but were absent in the formulation
without citrate. These peaks corresponded to doubly charged ions of peptides with masses of
2051.90 Da (Peptide B) and 2033.88 Da (Peptide C and D), respectively (Figure 3-3). Peptides
C and D were isobaric yet chromatographically resolved on the C18 RP-HPLC column and both
exhibited greater retention and thus greater hydrophobicity than Peptide B. The analysis of the
MS/MS spectra of Peptides B, C and D were in good agreement to each other with the exception
of the 18 Da mass shift between some of the b ions but clearly all three spectra were from the
same fragmentation series. Manual de novo sequencing (Figure 3-4) performed on these
peptides revealed high homology to the predicted y ion series of the N-terminal peptide of the
light chain (Peak A). A comparison of these MS/MS spectra against the experimental MS/MS
spectrum of the N-terminus of the light chain peptide showed high similarity between the
fragmentation patterns as shown in Figure 3-5. The y ion series between Peak A (Native), Peak
B (+174 Da), Peak C and Peak D (+156 Da) covered all residues in the peptide with the
exception of the N-terminal aspartate. The b ion series, although limited, showed strong signal
with coverage amongst the first three residues. Consequently, we were able to assign the
observed mass increases to the N-terminus of the light chain. Thus, the data confirmed that the
mass increases of 156 or 174 Da were from modifications on the light chain N-terminal amine
(i.e., Asp1). Subsequent analysis of the heavy chain N-terminal peptide of Antibody A did not
show any modification.
102
Figure 3-3: HPLC-MS analysis of a tryptic digest of the recombinant monoclonal
antibody A following storage at 40 ºC for 6 months in citrate buffer pH 5.2. The extracted ion
chromatograms corresponding the +2 charge ions for the native light chain peptide (A, m/z =
1877.89), the same peptide with +174A and +174B (B) and mass increases of +156A and +156B
(C), respectively.
103
Figure 3-4. De novo sequencing of doubly charged peptides corresponding to unique M/z’s of
2052.91 (Middle pane) and 2034.90 (Bottom pane). The data are compared to the light chain N-
terminal peptide of M/z 1878.89 (Top pane). Major fragmentation neutral losses corresponding
to a y ion series were in agreement and the deduced sequence is shown at the top of the figure.
104
Figure 3-5: MS/MS spectra of Antibody A light chain N-terminal peptide for the native, +174
Da, +156A Da, and +156B Da citrate modifications, respectively. Both y- and b-ion series
support the modification was at the N-termini. The top spectrum corresponds to the native
peptide while the second spectrum corresponds to the same peptide with the + 174 Da
modification on the light chain N-terminus. The bottom two spectra correspond to the two
products for the + 156 Da modification on the light chain N-terminus.
105
3.4.4 Elucidation of the chemical nature of the modifications
No protein modifications listed in either the ABRF Delta Mass database
(www.abrf.org/index.cfm/dm.home) or the Unimod database (www.unimod.org) could give rise
to the three observed species. As previously stated, citric acid was only present in the
formulation of the sample where these modifications were found. The molecular weight of citric
acid is 192 Da therefore the difference between the observed variants of +174 Da and +156 Da
suggests two successive losses of water from citric acid. As illustrated in Scheme 3-1, we
propose a mechanism that involves the initial formation of citric anhydride, the subsequent
formation of an amide with an amino group in the protein (e.g., the N-terminus) that results in a
molecular weight increase of 174 Da. Further condensation of the resulting amide and another
carboxylic group in covalently attached citric acid leads to the formation of imides (either five-
or six-membered), which confers a molecular weight increase of 156 Da. In addition, it is
reasonable to expect that these two products would form at different rates favoring the 5-
membered product and further supported by the two +156 isobaric peptides we observed (156A
and 156B shown in Figure 3-3). This mechanism is consistent with the results reported on citrate
modification of peptides and the propensity of citric acid to form an anhydride under acidic
conditions56-58, 60-61
.
3.4.5 Reactions in citrate buffers (as compared to formulation)
To isolate and narrow down the factors involved in the modification, antibody A was
incubated in citric acid buffer at the same pH (5.2) but without other formulation excipients (e.g.,
106
without mannitol and polysorbate 80) at 40 ºC for 1 month. Similar to the sample from citrate
formulation, the weak cation exchange chromatogram (Figure 3-6) shows a clear time-dependent
increase in the amount of acidic species. In addition, the formation of the distinct early eluting
peak has a comparable retention time to peak A from the sample formulated in citrate. Similarly,
the reduced LC/MS analysis of the light chain showed a major peak in good agreement with the
theoretical mass and also showed two higher molecular weight masses with increases of +156 Da
and +174 Da but at a higher abundance than the citrate formulation (Figure 3-2). And again,
tryptic mapping confirmed on the same adducts localized to the N-terminus of the light chain
(data not shown). Thus, these experiments supported our hypotheses that the citric acid was
indeed the modifying agent causing the heterogeneity on the N-terminus of the light chain. In
addition, we searched for the same modifications on the heavy chain N-terminal peptide and
found trace levels of the +174 Da adduct and no detection of the +156 Da adduct thus we saw
similar susceptibility as our stability sample (see Table 3-1).
107
Figure 3-6: The weak cation exchange chromatogram of Antibody A incubated in with citric
acid (formulation and buffer alone). A: Analysis of Antibody A stored in 20X citrate buffer for
0, 5, 10, 15, 20 and 30 days and Antibody A in the citrate formulation for 6 months, all at 40 ºC.
The data show the formation of a prominent early eluting acidic peak. In addition, the peak
108
aligns well with the Peak A from the sample stored in the citrate formulation for 6M/40C. B:
Time-dependent accumulation of peak A.
109
3.4.6 Prevalence of the citrate modification
To better understand the scope of this modification, several additional antibodies were
examined (see Table 3-1). One was a variant of Antibody A (Antibody A-S) in which the N-
terminus of the light chain had an aspartate substituted with a glutamate and the N-terminus of
the heavy chain had a glutamate substituted with an aspartate; in essence, the two termini were
swapped. LC/MS analysis of the light and heavy chains of Antibody A-S showed the same site
of modification and similar susceptibility as Antibody A (see Table 3-1), suggesting protein
structures (such as solvent accessibility) perhaps play a more dominant role than specific amino
acid residues62-64
. Additionally, as shown in Table 3-1, Antibody B and Antibody C were also
modified by citric acid at the N-termini of both the light chain and heavy chain. The
modification was also observed on a heavy chain N-terminal alanine residue (data not shown),
suggesting that this modification may occur on other residue at the N-terminus and the N-
terminal acidic side chains (Asp or Glu) are not obligatory. Thus, the modification of the N-
terminal primary amine by citrate appears to be common amongst recombinant IgG1 monoclonal
antibodies but may be influenced by other factors such as the antibody structure and
microenvironment7-8, 15, 62-63
. Furthermore, in all cases, the +174 Da species were more
prominent than the +156 Da species, indicating the former are likely the initial products as
proposed in Scheme 3-1.
110
Table 3-1: The percentage of citric acid modification found in the N-terminus of each chain in
different antibodies: Antibody A in citrate formulation for 6 months at 40 ºC; and Antibodies A,
A-S, B and C in 20X citrate buffer for 30 days at 40 ºC. The +156 Daa and +156 Da
b refer to the
two products formed after the second anhydride formation. The first ten residues of the N-
terminal framework of the heavy chains and light chains of antibodies are also listed (n.d.
denotes not detected).
Recombinant IgG1 LC N-terminus +174 Da +156 Daa +156 Dab HC N-terminus +174 Da +156 Daa +156 Dab
Antibody A (1X, 6M) DIQMTQSPSS 1.3 1.2 0.4 EVQLVESGGG n.d. n.d. n.d.
Antibody A (20X, 1M) DIQMTQSPSS 7.0 2.0 1.4 EVQLVESGGG 0.02 n.d. n.d.
Antibody A-S (20X, 1M) EIQMTQSPSS 8.7 1.3 0.6 DVQLVESGGG 0.8 n.d. n.d.
Antibody B (20X, 1M) EIVLTQSPDF 4.8 0.1 0.1 EVQLVQSGAE 6.4 0.4 0.6
Antibody C (20X, 1M) DVLVTQSPLS 1.8 0.2 0.2 EVKLVESGGG 3.2 0.2 0.3
111
3.4.7 Influence of pH
As shown in Scheme 1, a key intermediate for the modification is citric acid anhydride57-
58, 60-61. Citric acid has three pKa’s of 3.14, 4.75 and 6.39, so at pH 5.2, one of the carboxylic
acids will be predominantly protonated, a first step for anhydride formation. As reported,
formation of citric acid anhydride occurs between pH 3.0 to 6.0, with the maximum at pH 4.0 to
4.556
. At pH 5.2 for our formulation, citric acid anhydride can still accumulate to a significant
degree and modify the antibodies. Increasing the pH to neutral conditions, however, would
markedly diminish the formation of the anhydride, thus little modification of the antibodies (see
Figure 3-2, pH 7 data).
3.4.8 Selectivity of amines
We investigated whether there were any citrate modifications to the primary amines of
lysine residues following the accelerated storage conditions. We searched the peptide mapping
data using the Sequest algorithm (ThermoFisher Scientific) and did not find any modification to
lysine residues. In general, N-terminal amines have a lower pKa (around 8) than those on the
side chains of lysine (around 10). Under mildly acidic conditions (e.g., pH 5.2), though the vast
majority of the N-terminal and lysyl amines are protonated, significant higher percentage of the
N-terminal amines are deprotonated, thereby nucleophilic and can react with anhydride.
Therefore, the observed selectivity of amines are consistent with the generally observed
reactivities of N-terminal amines65-66
.
112
3.5 Conclusions
Our results suggest the general susceptibility of the N-terminal amines to modifications
by citric acid. The reactivity is likely influenced by multiple factors, including pH, pKa at the N-
terminal amines and structural features, therefore the sites and extent of modification cannot be
precisely predicted and thus should be investigated experimentally. In addition, formulations
with elevated concentrations of citric acid would likely cause a greater extent of the modification
therefore it would be prudent to consider other excipients which may be better suited for the
desired pH range. In particular, other molecules containing two or more juxtaposed carboxylic
acid groups may exhibit analogous reactivities (via the formation of anhydrides). Examples from
the Generally Recognized as Safe (GRAS) list include adipic acid, malic acid, succinic acid and
tartaric acid. Altogether, our findings are yet a reminder that the unexpected reactivity of
excipients and formulation, though generally considered chemically inert and safe, should be
carefully scrutinized.
113
3-6 References
1. Z. L. Awdeh, A. R. Williamson, B. A. Askonas, One cell-one immunoglobulin. Origin of
limited heterogeneity of myeloma proteins. Biochem. J. 1970, 116. 241-248.
2. H. Liu, G. Gaza-Bulseco, D. Faldu, C. Chumsae, J. Sun, Heterogeneity of monoclonal
antibodies. J. Pharm. Sci. 2008, 97. 2426-2447, DOI: 10.1002/jps.21180.
3. M. Manning, D. Chou, B. Murphy, R. Payne, D. Katayama, Stability of Protein
Pharmaceuticals: An Update. Pharm. Res. 2010, 27. 544-575, DOI: 10.1007/s11095-009-0045-6.
4. J. Vlasak, R. Ionescu, Heterogeneity of Monoclonal Antibodies Revealed by Charge-
Sensitive Methods. Current Pharmaceutical Biotechnology 2008, 9. 468-481, DOI:
10.2174/138920108786786402.
5. C. Fenselau, M. M. Vestling, R. J. Cotter, Mass spectrometric analysis of proteins. Curr.
Opin. Biotechnol. 1993, 4. 14-19, DOI: http://dx.doi.org/10.1016/0958-1669(93)90026-S.
6. C. E. Costello, Bioanalytic applications of mass spectrometry. Curr. Opin. Biotechnol.
1999, 10. 22-28, DOI: http://dx.doi.org/10.1016/S0958-1669(99)80005-6.
7. C. Chumsae, K. Gifford, W. Lian, H. Liu, C. H. Radziejewski, Z. S. Zhou, Arginine
Modifications by Methylglyoxal: Discovery in a Recombinant Monoclonal Antibody and
Contribution to Acidic Species. Anal. Chem. 2013, 85. 11401-11409, DOI: 10.1021/ac402384y.
8. T. Zang, S. Dai, D. Chen, B. W. K. Lee, S. Liu, B. L. Karger, Z. S. Zhou, Chemical
Methods for the Detection of Protein N-Homocysteinylation via Selective Reactions with
Aldehydes. Anal. Chem. 2009, 81. 9065-9071, DOI: 10.1021/ac9017132.
9. T. Mizuochi, T. Taniguchi, A. Shimizu, A. Kobata, Structural and numerical variations of
the carbohydrate moiety of immunoglobulin G. The Journal of Immunology 1982, 129. 2016-20.
10. R. B. Parekh, R. A. Dwek, B. J. Sutton, D. L. Fernandes, A. Leung, D. Stanworth, T. W.
Rademacher, T. Mizuochi, T. Taniguchi, K. Matsuta, F. Takeuchi, Y. Nagano, T. Miyamoto, A.
Kobata, Association of rheumatoid arthritis and primary osteoarthritis with changes in the
glycosylation pattern of total serum IgG. Nature 1985, 316. 452-457.
11. R. Jefferis, Glycosylation of Recombinant Antibody Therapeutics. Biotechnol. Progr.
2005, 21. 11-16, DOI: 10.1021/bp040016j.
12. R. G. Matthews, A. E. Smith, Z. S. Zhou, R. E. Taurog, V. Bandarian, J. C. Evans, M.
Ludwig, Cobalamin-Dependent and Cobalamin-Independent Methionine Synthases: Are There
Two Solutions to the Same Chemical Problem? Helv. Chim. Acta 2003, 86. 3939-3954, DOI:
10.1002/hlca.200390329.
114
13. Z. S. Zhou, A. E. Smith, R. G. Matthews, l-selenohomocysteine: one-step synthesis from
l-selenomethionine and kinetic analysis as substrate for methionine synthases. Bioorg. Med.
Chem. Lett. 2000, 10. 2471-2475, DOI: http://dx.doi.org/10.1016/S0960-894X(00)00498-4.
14. W. Wan, G. Zhao, K. Al-Saad, W. F. Siems, Z. S. Zhou, Rapid screening for S-
adenosylmethionine-dependent methylation products by enzyme-transferred isotope patterns
analysis. Rapid Commun. Mass Spectrom. 2004, 18. 319-324, DOI: 10.1002/rcm.1335.
15. S. Gui, W. L. Wooderchak-Donahue, T. Zang, D. Chen, M. P. Daly, Z. S. Zhou, J. M.
Hevel, Substrate-Induced Control of Product Formation by Protein Arginine Methyltransferase 1.
Biochemistry 2012, 52. 199-209, DOI: 10.1021/bi301283t.
16. T. Chen, N. Nayak, S. M. Majee, J. Lowenson, K. R. Schäfermeyer, A. C. Eliopoulos, T.
D. Lloyd, R. Dinkins, S. E. Perry, N. R. Forsthoefel, S. G. Clarke, D. M. Vernon, Z. S. Zhou, T.
Rejtar, A. B. Downie, Substrates of the Arabidopsis thaliana Protein Isoaspartyl
Methyltransferase 1 Identified Using Phage Display and Biopanning. J. Biol. Chem. 2010, 285.
37281-37292, DOI: 10.1074/jbc.M110.157008.
17. S. Biastoff, M. Teuber, Z. S. Zhou, B. Draeger, Colorimetric activity measurement of a
recombinant putrescine N-methyltransferase from Datura stramonium. Planta Med. 2006, 72.
1136-1141, DOI: 10.1055/s-2006-947191.
18. C. Chumsae, G. Gaza-Bulseco, J. Sun, H. Liu, Comparison of methionine oxidation in
thermal stability and chemically stressed samples of a fully human monoclonal antibody. J.
Chromatogr. B 2007, 850. 285-294, DOI: http://dx.doi.org/10.1016/j.jchromb.2006.11.050.
19. H. Liu, G. Gaza-Bulseco, L. Zhou, Mass Spectrometry Analysis of Photo-Induced
Methionine Oxidation of a Recombinant Human Monoclonal Antibody. J. Am. Soc. Mass
Spectrom. 2009, 20. 525-528, DOI: 10.1016/j.jasms.2008.11.011.
20. G. Gaza-Bulseco, S. Faldu, K. Hurkmans, C. Chumsae, H. Liu, Effect of methionine
oxidation of a recombinant monoclonal antibody on the binding affinity to protein A and protein
G. J. Chromatogr. B: Anal. Technol. Biomed. Life Sci. 2008, 870. 55-62, DOI:
10.1016/j.jchromb.2008.05.045.
21. D. Houde, P. Kauppinen, R. Mhatre, Y. Lyubarskaya, Determination of protein oxidation
by mass spectrometry and method transfer to quality control. J. Chromatogr. A 2006, 1123. 189-
198, DOI: 10.1016/j.chroma.2006.04.046.
22. J. F. Alfaro, L. A. Gillies, H. G. Sun, S. Dai, T. Zang, J. J. Klaene, B. J. Kim, J. D.
Lowenson, S. G. Clarke, B. L. Karger, Z. S. Zhou, Chemo-Enzymatic Detection of Protein
Isoaspartate Using Protein Isoaspartate Methyltransferase and Hydrazine Trapping. Anal. Chem.
2008, 80. 3882-3889, DOI: 10.1021/ac800251q.
115
23. L. Huang, J. Lu, V. J. Wroblewski, J. M. Beals, R. M. Riggin, In Vivo Deamidation
Characterization of Monoclonal Antibody by LC/MS/MS. Anal. Chem. 2005, 77. 1432-1439,
DOI: 10.1021/ac0494174.
24. W. Ni, S. Dai, B. L. Karger, Z. S. Zhou, Analysis of Isoaspartic Acid by Selective
Proteolysis with Asp-N and Electron Transfer Dissociation Mass Spectrometry. Anal. Chem.
2010, 82. 7485-7491, DOI: 10.1021/ac101806e.
25. M. Liu, J. Cheetham, N. Cauchon, J. Ostovic, W. Ni, D. Ren, Z. S. Zhou, Protein
Isoaspartate Methyltransferase-Mediated 18O-Labeling of Isoaspartic Acid for Mass
Spectrometry Analysis. Anal. Chem. 2011, 84. 1056-1062, DOI: 10.1021/ac202652z.
26. S. Dai, W. Ni, A. N. Patananan, S. G. Clarke, B. L. Karger, Z. S. Zhou, Integrated
Proteomic Analysis of Major Isoaspartyl-Containing Proteins in the Urine of Wild Type and
Protein l-Isoaspartate O-Methyltransferase-Deficient Mice. Anal. Chem. 2013, 85. 2423-2430,
DOI: 10.1021/ac303428h.
27. B. Yan, S. Steen, D. Hambly, J. Valliere-Douglass, T. V. Bos, S. Smallwood, Z. Yates, T.
Arroll, Y. Han, H. Gadgil, R. F. Latypov, A. Wallace, A. Lim, G. R. Kleemann, W. Wang, A.
Balland, Succinimide formation at Asn 55 in the complementarity determining region of a
recombinant monoclonal antibody IgG1 heavy chain. J. Pharm. Sci. 2009, 98. 3509-3521, DOI:
10.1002/jps.21655.
28. M. Liu, Z. Zhang, T. Zang, C. Spahr, J. Cheetham, D. Ren, Z. S. Zhou, Discovery of
Undefined Protein Cross-Linking Chemistry: A Comprehensive Methodology Utilizing 18O-
Labeling and Mass Spectrometry. Anal. Chem. 2013, 85. 5900-5908, DOI: 10.1021/ac400666p.
29. M. Liu, Z. Zhang, J. Cheetham, D. Ren, Z. S. Zhou, Discovery and Characterization of a
Photo-Oxidative Histidine-Histidine Cross-Link in IgG1 Antibody Utilizing 18O-Labeling and
Mass Spectrometry. Anal. Chem. 2014. DOI: 10.1021/ac500334k.
30. A. G. Ngounou Wetie, I. Sokolowska, A. G. Woods, U. Roy, J. A. Loo, C. C. Darie,
Investigation of stable and transient protein–protein interactions: Past, present, and future.
PROTEOMICS 2013, 13. 538-557, DOI: 10.1002/pmic.201200328.
31. A. J. Cordoba, B.-J. Shyong, D. Breen, R. J. Harris, Non-enzymatic hinge region
fragmentation of antibodies in solution. J. Chromatogr. B 2005, 818. 115-121, DOI:
http://dx.doi.org/10.1016/j.jchromb.2004.12.033.
32. H. Liu, G. Gaza-Bulseco, E. Lundell, Assessment of antibody fragmentation by reversed-
phase liquid chromatography and mass spectrometry. J. Chromatogr. B 2008, 876. 13-23, DOI:
http://dx.doi.org/10.1016/j.jchromb.2008.10.015.
33. J. Vlasak, R. Ionescu, Fragmentation of monoclonal antibodies. MAbs 2011, 3. 253-63.
116
34. Z. Wang, T. Rejtar, Z. S. Zhou, B. L. Karger, Desulfurization of cysteine-containing
peptides resulting from sample preparation for protein characterization by mass spectrometry.
Rapid Commun. Mass Spectrom. 2010, 24. 267-275, DOI: 10.1002/rcm.4383.
35. W. Wang, S. Singh, D. L. Zeng, K. King, S. Nema, Antibody structure, instability, and
formulation. J. Pharm. Sci. 2007, 96. 1-26, DOI: 10.1002/jps.20727.
36. J. Park, K. Nagapudi, C. Vergara, R. Ramachander, J. Laurence, S. Krishnan, Effect of
pH and Excipients on Structure, Dynamics, and Long-Term Stability of a Model IgG1
Monoclonal Antibody upon Freeze-Drying. Pharm. Res. 2013, 30. 968-984, DOI:
10.1007/s11095-012-0933-z.
37. J. Patel, R. Kothari, R. Tunga, N. M. Ritter, B. S. Tunga, Stability considerations for
biopharmaceuticals, part 1. BioProc Int 2011, 9. 20-31.
38. C. Srinivasan, A. Weight, T. Bussemer, A. Klibanov, Non-Aqueous Suspensions of
Antibodies are Much Less Viscous Than Equally Concentrated Aqueous Solutions. Pharm. Res.
2013, 30. 1749-1757, DOI: 10.1007/s11095-013-1017-4.
39. Y. W. Feng, A. Ooishi, S. Honda, Aggregation factor analysis for protein formulation by
a systematic approach using FTIR, SEC and design of experiments techniques. J. Pharm.
Biomed. Anal. 2012, 57. 143-152, DOI: http://dx.doi.org/10.1016/j.jpba.2011.08.035.
40. T. Arakawa, Y. Kita, Protection of bovine serum albumin from aggregation by Tween 80.
J. Pharm. Sci. 2000, 89. 646-651, DOI: 10.1002/(sici)1520-6017(200005)89:5<646::aid-
jps10>3.0.co;2-j.
41. Q. Yang, Y. Hao, J. Chu, Y. Wang, S. Zhang, Y. Zhuang, Effect of Tween-80 on
aggregation of consensus interferon-α expressed by Pichia pastoris. Huaxue Yu Shengwu
Gongcheng 2008, 25. 49-52.
42. X. M. Lam, J. Y. Yang, J. L. Cleland, Antioxidants for prevention of methionine
oxidation in recombinant monoclonal antibody HER2. J. Pharm. Sci. 1997, 86. 1250-1255, DOI:
10.1021/js970143s.
43. M. T. M. Raijmakers, G. W. Schilders, E. M. Roes, L. J. H. van tits, H. L. M. Hak-
Lemmers, E. A. P. Steegers, W. H. M. Peters, N-Acetylcysteine improves the disturbed thiol
redox balance after methionine loading. Clin. Sci. 2003, 105. 173-180, DOI:
10.1042/cs20030052.
44. S. Luo, R. L. Levine, Methionine in proteins defends against oxidative stress. FASEB J
2009, 23. 464-72.
45. M. Thordstein, R. Baagenholm, K. Thiringer, I. Kjellmer, Scavengers of free oxygen
radicals in combination with magnesium ameliorate perinatal hypoxic-ischemic brain damage in
the rat. Pediatr. Res. 1993, 34. 23-6, DOI: 10.1203/00006450-199307000-00006.
117
46. A. L. Pace, R. L. Wong, Y. T. Zhang, Y.-H. Kao, Y. J. Wang, Asparagine deamidation
dependence on buffer type, pH, and temperature. J. Pharm. Sci. 2013, 102. 1712-1723, DOI:
10.1002/jps.23529.
47. S. J. Shire, Formulation and manufacturability of biologics. Curr. Opin. Biotechnol.
2009, 20. 708-714, DOI: http://dx.doi.org/10.1016/j.copbio.2009.10.006.
48. J. Yao, D. Dokuru, M. Noestheden, S. Park, B. Kerwin, J. Jona, D. Ostovic, D. Reid, A
Quantitative Kinetic Study of Polysorbate Autoxidation: The Role of Unsaturated Fatty Acid
Ester Substituents. Pharm. Res. 2009, 26. 2303-2313, DOI: 10.1007/s11095-009-9946-7.
49. O. Mozziconacci, B. A. Kerwin, C. Sch neich, Exposure of a Monoclonal Antibody,
IgG1, to UV-Light Leads to Protein Dithiohemiacetal and Thioether Cross-Links: A Role for
Thiyl Radicals? Chem. Res. Toxicol. 2010, 23. 1310-1312, DOI: 10.1021/tx100193b.
50. R. Torosantucci, C. Schöneich, W. Jiskoot, Oxidation of Therapeutic Proteins and
Peptides: Structural and Biological Consequences. Pharm. Res. 2014, 31. 541-553, DOI:
10.1007/s11095-013-1199-9.
51. S. Li, T. W. Patapoff, D. Overcashier, C. Hsu, T. H. Nguyen, R. T. Borchardt, Effects of
reducing sugars on the chemical stability of human relaxin in the lyophilized state. J. Pharm. Sci.
1996, 85. 873-877, DOI: 10.1021/js950456s.
52. J. D. Andya, C. C. Hsu, S. J. Shire, Mechanisms of aggregate formation and carbohydrate
excipient stabilization of lyophilized humanized monoclonal antibody formulations. PharmSci
2003, 5. No pp. given, DOI: 10.1208/ps050210.
53. H. S. Gadgil, P. V. Bondarenko, G. Pipes, D. Rehder, A. McAuley, N. Perico, T. Dillon,
M. Ricci, M. Treuheit, The LC/MS analysis of glycation of IgG molecules in sucrose containing
formulations. J. Pharm. Sci. 2007, 96. 2607-2621, DOI: 10.1002/jps.20966.
54. D. D. Banks, D. M. Hambly, J. L. Scavezze, C. C. Siska, N. L. Stackhouse, H. S. Gadgil,
The effect of sucrose hydrolysis on the stability of protein therapeutics during accelerated
formulation studies. J. Pharm. Sci. 2009, 98. 4501-4510, DOI: 10.1002/jps.21749.
55. J. F. Valliere-Douglass, L. Connell-Crowley, R. Jensen, P. D. Schnier, E. Trilisky, M.
Leith, B. D. Follstad, J. Kerr, N. Lewis, S. Vunnum, M. J. Treuheit, A. Balland, A. Wallace,
Photochemical degradation of citrate buffers leads to covalent acetonation of recombinant
protein therapeutics. Protein Sci. 2010, 19. 2152-2163, DOI: 10.1002/pro.495.
56. R. A. Poole, P. T. Kasper, W. Jiskoot, Formation of amide- and imide-linked degradation
products between the peptide drug oxytocin and citrate in citrate-buffered formulations. J.
Pharm. Sci. 2011, 100. 3018-3022, DOI: 10.1002/jps.22495.
118
57. T. Higuchi, T. Miki, A. C. Shah, A. K. Herd, Facilitated reversible formation of amides
from carboxylic acids in aqueous solutions. Intermediate production of acid anhydride. J. Am.
Chem. Soc. 1963, 85. 3655-3660.
58. T. Higuchi, L. Eberson, J. D. McRae, Acid anhydride-free acid equilibria in water in
some substituted succinic acid systems and their interaction with aniline. J. Am. Chem. Soc.
1967, 89. 3001-3004, DOI: 10.1021/ja00988a036.
59. L. C. Santora, I. S. Krull, K. Grant, Characterization of Recombinant Human Monoclonal
Tissue Necrosis Factor-α Antibody Using Cation-Exchange HPLC and Capillary Isoelectric
Focusing. Anal. Biochem. 1999, 275. 98-108, DOI: http://dx.doi.org/10.1006/abio.1999.4275.
60. T. Higuchi, T. Miki, REVERSIBLE FORMATION OF AMIDES FROM FREE
CARBOXYLIC ACID AND AMINE IN AQUEOUS SOLUTION. A CASE OF
NEIGHBORING GROUP FACILITATION1. J. Am. Chem. Soc. 1961, 83. 3899-3901, DOI:
10.1021/ja01479a037.
61. T. Higuchi, L. Eberson, A. K. Herd, The Intramolecular Facilitated Hydrolytic Rates of
Methyl-Substituted Succinanilic Acids1. J. Am. Chem. Soc. 1966, 88. 3805-3808, DOI:
10.1021/ja00968a023.
62. Z. S. Zhou, A. Flohr, D. Hilvert, An Antibody-Catalyzed Allylic Sulfoxide−Sulfenate
Rearrangement. The Journal of Organic Chemistry 1999, 64. 8334-8341, DOI:
10.1021/jo991299a.
63. Z. S. Zhou, N. Jiang, D. Hilvert, An Antibody-Catalyzed Selenoxide Elimination. J. Am.
Chem. Soc. 1997, 119. 3623-3624, DOI: 10.1021/ja963748j.
64. G. Zhao, Z. S. Zhou, Vinyl sulfonium as novel proteolytic enzyme inhibitor. Bioorg.
Med. Chem. Lett. 2001, 11. 2331-2335, DOI: http://dx.doi.org/10.1016/S0960-894X(01)00440-1.
65. J. M. Gilmore, R. A. Scheck, A. P. Esser-Kahn, N. S. Joshi, M. B. Francis, N-Terminal
Protein Modification through a Biomimetic Transamination Reaction. Angew. Chem. Int. Ed.
2006, 45. 5307-5311, DOI: 10.1002/anie.200600368.
66. L. S. Witus, T. Moore, B. W. Thuronyi, A. P. Esser-Kahn, R. A. Scheck, A. T. Iavarone,
M. B. Francis, Identification of Highly Reactive Sequences For PLP-Mediated Bioconjugation
Using a Combinatorial Peptide Library. J. Am. Chem. Soc. 2010, 132. 16812-16817, DOI:
10.1021/ja105429n.
119
Chapter 4 When Good Intentions Go Awry: Modification of a Recombinant Monoclonal
Antibody in Chemically Defined Cell Culture by Xylosone, an Oxidative Product of Ascorbate
This chapter is based on a submitted paper with the same title
4.1 Abstract
With the advent of new initiatives to develop chemically defined media, cell culture
scientists screen many additives to improve cell growth and productivity. However, the
introduction or increase of supplements—typically considered beneficial or protective on their
own—to the basal media or feed stream may cause unexpected detrimental consequences to
product quality. For instance, because cultured cells are constantly under oxidative stress,
ascorbic acid (vitamin C, a potent natural reducing agent) is a common additive to cell culture
media. However, as reported herein, a recombinant monoclonal antibody (adalimumab) in cell
culture was covalently modified by xylosone (molecular weight 148), an oxidative product of
ascorbate. Containing reactive carbonyl groups, xylosone modifies various amines (e.g., the N-
termini of the heavy and light chains and susceptible lysines), forming either hemiaminal (+148
Da) or Schiff base (imine, +130 Da) products. Our findings show, for the first time, that
ascorbate-derived xylosone can contribute to an increase in molecular heterogeneity, such as
acidic species. Our work serves as a reminder that additives to cell culture and their metabolites
may become reactive and negatively impact the overall product quality, and should be carefully
monitored with any changes in cell culture conditions.
120
4.2 Introduction
Until recently, cell culture scientists mostly focused on cell growth and protein
expression level; but as demonstrated herein, the quality of the final products has recently
emerged as another critical attribute to be considered. To this point, variations in product
quality, or microheterogeniety, are mostly attributed to a myriad of post-translational
modifications (PTMs)1-6
. In order to reduce variability in product quality, cell growth and
expression levels, the current trend in recombinant monoclonal antibody production has been to
move from complex undefined hydrolysate media to the utilization of chemically defined media7-
8. Furthermore, it has been shown that modulation of the supplemental feed can impact the
product quality of the protein drug9-14
. For example, the addition of manganese and galactose to
the medium can increase the amount of terminal galactosylation on the biantennary
oligosaccharide in the CH2 domain of a recombinant monoclonal antibody10
.
A common additive is the much-storied vitamin C (ascorbic acid). In addition to its
function as a cofactor for collagen synthesis15
, it has been implicated as an antioxidant
(biological reductant) and potent scavenger of reactive oxygen species (ROS)16-19
. Large scale
production of recombinant monoclonal antibodies require higher levels of oxygen to maintain
higher cell densities20
. Such conditions may generate reactive oxygen species21-22
. Therefore,
including antioxidants such as ascorbic acid is generally considered protective and desirable.
Such a view is also held for human nutrition and health, perhaps epitomized by the mega-dose
championed by Linus Pauling23
.
Pertinent to this study, media components or additives have been shown to affect product
quality and protein modifications24-25
. The best known example is arguably glycation of proteins
by glucose26-28
, an essential nutrient as the main energy source of cultured cells. While
121
unavoidable, glycation nevertheless is predictable. On the other hand, it is challenging to predict
and detect modifcations by secondary metabolites or by-products. For example, we previously
reported that a recombinant monoclonal antibody was unexpectedly modified by an
accumulation of methylglyoxal (MGO) during cell culture due to a change in media that was
perceived as beneficial29
. Methylglyoxal is a dicarbonyl compound that is generated as a by-
product of glycolysis29-30
. As a reactive metabolite, it modifies the side chains of susceptible
arginine residues forming adducts with mass increases of 72 Da and 54 Da, respectively. Under
optimal conditions, methylglyoxal is effectively removed by the glutathione dependent
glyoxylase I/II pathway30
. However, changes in the cell culture conditions, specifically the
redox state, can affect this important balance, ultimately leading to increased amounts of this
modification31
. Modifications from other reactive species include cysteinylation32
,
glutathionylation33-34
, and N-homocysteintylation from homocysteine thiolactone35
. Therefore,
changes to the cell culture medium may result in unexpected changes in product quality36-37
.
As reported herein, we observed an increase in acidic species in a recombinant
monoclonal antibody supplemented with ascorbic acid during cell culture. Additionally, we
observed two unidentified masses in the reduced LC/MS analysis of acidic fractions which
exhibited molecular weight increases of 130 and 148, respectively. Detailed analyses revealed
that these modifications occurred on the primary amines of the N-termini of heavy and light
chains and also susceptible lysine residues. This was confirmed by in vitro incubation of native
antibody with increasing concentrations of ascorbic acid. Given that the molecular weight of
ascorbate is 176, it was hypothesized that metabolites or degration produts of this nutrient were
the culprits. This was confirmed in more detailed mechanistic investigations using 13
C labeled
ascorbate. As illustrated in Scheme 1, ascorbate is first oxidized to dehydroascorbic acid.
122
Subsequent decarboxylation generates xylosone38-39
. Xylosone is highly reactive and is capable
of modifying susceptible primary amines, resulting in mass increases of 148 Da and 130 Da for
the hemiaminal and Schiff base, respectively (Scheme 1). To the best of our knowledge, this is
the first report of an ascorbate-originated xylosone modification of a recombinant monoclonal
antibody in vitro and in cell culture.
123
4.3 Materials and Methods
4.3.1 Materials
The recombinant monoclonal antibody (adalimumab) was produced by stably transfected
Chinese hamster ovary (CHO) cells cultured in a bioreactor and purified at AbbVie Bioresearch
Center (Worcester, MA). Dithiothreitol (DTT) was from Sigma (St. Louis, MO). Acetonitrile
and trifluoroacetic acid (TFA) were from J.T.Baker (Phillipsburg, NJ). Formic acid (FA) was
from EMD (Gibbstown, NJ). Trypsin was from Worthington (Lakewood, NJ). Ascorbic acid
was from Sigma (St. Louis, MO). 13
C labeled ascorbate reagents labeled at either the carbon 1,
carbon 2 or carbon 3 position were from Sigma (St. Louis, MO). Guanidine-HCl was from
Thermo Scientific (Rockford, IL).
4.3.2 Weak cation exchange (WCX) chromatography
The antibody in low salt buffer was loaded onto a ProPac 4 x 250 mm WCX-10 column
(Thermo Scientific, Rockford, IL) at 94% mobile phase A (10 mM sodium phosphate, pH 7.5)
and 6% mobile phase B (10 mM sodium phosphate and 500 mM sodium chloride, pH 5.5) at a
flow-rate of 1 mL/min. The percentage of mobile phase B was increased from 6% to 16% over
20 min to elute the antibody monitored by UV absorbance at 280 nm. The column was then
washed using 100% mobile phase B and then equilibrated using 6% mobile phase B for 9
minutes between injections.
4.3.3 LC-MS analysis of reduced antibody
124
Light chain and heavy chain of the antibody from different fractions were analyzed using
an HPLC (Agilent 1260, Santa Clara, CA) with a reversed phase column (WR Grace, C4, 1 x
150 mm i.d., 5µ particle size) coupled to a Q-TOF mass spectrometer (Agilent, 6510). Antibody
was reduced using DTT (10 mM final concentration). Two microliters of each sample were
loaded at 95% mobile phase A (0.08% FA and 0.02% TFA in Milli-Q water) and 5% mobile
phase B (0.08% FA and 0.02% TFA in acetonitrile) and then eluted using a gradient from 5%
mobile phase B to 35% mobile phase B in 20 min. The column was washed using 90% mobile
phase B and equilibrated using 5% mobile phase B for 10 min. The flow rate was 50 µL/min
and column oven temperature was 60 ºC. The mass spectrometer was operated in electrospray
positive ion mode with a scan range from m/z 600 to 3200. Ion spray voltage was 4500 volts and
the source temperature was 350 ºC.
4.3.4 Fractionation of Acidic Species
In order to understand the chemical nature of the new acidic peaks, ascorbate
supplemented samples were analyzed using weak cation exchange (WCX) chromatography, and
the distinct acidic peaks were fractionated. The pooled fractions were concentrated using an
Amicon Ultra 10 KDa MWCO (Millipore) and subjected to analysis by reduced LC/MS analysis
as described previously.
4.3.5 Tryptic digestion
Protein fractions from WCX chromatography were denatured using 6 M guanidine
hydrochloride in 100 mM Tris, pH 8.0 and reduced using 10 mM DTT at 37 ºC for 30 min.
Alkylation was performed using 25 mM iodoacetic acid at 37 ºC for 30 min. The samples were
125
buffer exchanged to 10 mM Tris pH 8.0 using NAP-5 columns (GE Healthcare, Piscataway, NJ).
The samples were digested with trypsin at 1:10 (w:w, enzyme:antibody) and incubated at 37 ºC
for 4 hours.
4.3.6 LC-MS analysis of peptides
An UPLC (Acquity, Waters, Milford, MA) equipped with a UPLC C18 reversed phase
column (Waters, 1 x 150 mm i.d., 1.7µ particle size) and a Thermo Scientific LTQ-Orbitrap
Velos mass spectrometer (Thermo Fisher, Waltham, MA) were used to analyze peptide samples.
Forty µL of each sample was loaded at 98% mobile phase A (0.08% formic acid and 0.02% TFA
in Milli-Q water) and 2% mobile phase B (0.08% formic acid and 0.02% TFA in acetonitrile)
and then eluted using a gradient from 2% mobile phase B to 35% mobile phase B in 80 min. The
column was washed using 98% mobile phase B and equilibrated using 2% mobile phase B for 10
min. The flow rate was 50µL/min and column oven temperature was 60 ºC. The mass
spectrometer was operated in positive ion mode with a scan range from m/z 300 to 2000 with
alternating CID and HCD of the three most intense parent masses. Ion spray voltage was set at
4500 volts and the source temperature was set at 350 ºC. The data were analyzed by searching
extracted mass traces of tryptic peptides with mass increases of 130 and 148 daltons. The data
were also searched against the theoretical primary structure using the Sequest algorithm and
selecting the observed variant increases (Thermo Scientific, West Palm Beach, FL).
4.3.7 in vitro incubation of Monoclonal antibody with ascorbic acid
Ascorbic acid (Sigma, St Louis, MO) was dissolved in phosphate–buffered saline (20
mM Na2HPO4, 150 mM NaCl, pH 7.2) at a concentration of 3 mg/mL (17 mM) in order to
simulate the high ascorbate conditions from the cell culture experiments. The isoform of the
126
recombinant monoclonal antibody without any C-terminal Lys (denoted as Lys-0) was diluted
into the ascorbate solution and incubated in at 37 ºC for 14 days, the typical duration of the cell
culture experiments. The antibody was buffer exchanged to 10 mM Tris pH 7.0 following the
incubation. Lys-0 antibody incubated under the same conditions in PBS alone was used as a
control. The samples were analyzed by weak cation exchange chromatography and reduced
LC/MS as described in the previous sections. Specific peaks that appeared in the acidic region
of the chromatogram in the sample incubated with ascorbate were fractionated for further
analysis.
4.3.8 Regio-labeled ascorbate to elucidate the mechanism of the modification
Ascorbic acidthat was specifically regio-labelled with 13
C (at C1, C2 or C3 carbon,
respectively) was obtained from Sigma-Aldrich (see Figure 4-14). These ascorbic acid isomers
were used to elucidate and confirm the mechanism for the formation of the reactive degradant
(xylosone) and the final modifications to the antibody. The antibody was incubated with each of
the labeled ascorbate reagents for 14 days at 37 ºC. The samples were analyzed by reduced
LC/MS and by tryptic mapping with LC/MS/MS for analysis of the resulting adducts.
127
4.4 Results and Discussion
As detailed below, we have discovered that a recombinant monoclonal antibody
(adalimumab) was modified by ascorbic acid both in vitro and in cell culture. Furthemore, mas
spectrometric and mechanistic investigation has attributed the modifications to xylosone, a
degradation product of ascorbate. The modifications occurred on primary amines, including the
N-termini of both light and heavy chains and also susceptable lysine residues.
4.4.1 Ascorbate supplement in cell culture induced new acidic variants
A recombinant monoclonal antibody was expressed in shake flasks using various
supplementation and additives. Of specific interest were cell culture conditions under which the
concentration of ascorbate was increased (0, 0.1, 1 and 3 mg/mL, respectively). When
antibodies were analyzed by weak cation exchange chromatography, the formation of new acidic
species directly correlated with ascorbate concentration (Figure 4-1). This observation led us to
initiate a detailed structural analysis of the recombinant monoclonal antibody in order to
determine the chemical nature and cause of the increase in charge heterogeneity.
128
Figure 4-1: WCX-10 chromatograms of the recombinant monoclonal antibody control (top, no
ascorbic acid) and supplemented with 0.1, 1 and 3 mg/mL of ascorbate in cell culture,
respectively. The increase in ascorbate concentration corresponds to an increase in the early
eluting species and a well defined peak (Peak A).
129
4.4.2 Reduced LC/MS analysis of antibody stored in ascorbate buffer
Without separating antibody variants, reduced LC/MS analysis of the recombinant
monoclonal antibody heavy chain and light chain from the ascorbate supplemented cultures did
not show obvious differences in the mass spectra (Figure 4-2). Therefore, fractionation of the
earlier eluting peaks and the Lys-0 peak from weak cation exchange (Figure 4-1) was employed.
The analysis of the Lys-0 fraction by reduced LC/MS revealed a deconvoluted light chain mass
spectra which was in good agreement with the expected light chain mass (Figure 4-3, A).
Analysis of the mass spectra resulting from Peak A, however, exhibited discernible differences
as shown in Figure 4-3 (B). The deconvoluted light chain mass spectra showed the expected
mass as well as several lower abundance peaks with higher molecular-weight. Two of the
masses corresponded to mass increases of 148 Da and 130 Da.
In order to elucidate the nature of the additional species, a pure fraction of the Lys-0
species was treated with ascorbic acid in vitro. The deconvoluted spectrum (Figure 4-3, C) of
the in vitro sample was highly similar to that from cell culture (Figure 4-3, B). First, the
observed molecular weight of 23408.5 Da represented the unmodified light chain from Lys-0
incubated with ascorbate and was in good agreement with the theoretical value of 23408.1.
Secondly, two other lower intensity peaks were also observed with masses of 23538.3 Da and
23556.6 Da which corresponded to mass increases of 130 Da and 148 Da, respectively (Figure 4-
3, C). Furthermore, these two masses are in good agreement with the two masses representing
+130 Da and +148 Da from cell culture suggesting that they were generated due to the ascorbic
acid supplementation. Analysis of the heavy chain from the ascorbate supplementation
experiments was complicated by the presence of inherent glycosylation. Treatment with
130
PNGaseF and carboxypeptidase B simplified the heavy chain mass spectra (Figure 3-4), which
suggests the same ascorbate-related modifications are present although not as conclusive as
shown in the light chain data due to other low intensity peaks in the spectra.
131
Figure 4-2: Light Chain spectra from reduced LC/MS analysis of unfractionated Antibody A.
Two masses of +130 and +148 Da increase within the mass spectra as more ascorbate is added to
the cell culture.
132
Figure 4-3: LC/MS analysis of the recombinant monoclonal antibody light chain after reduction
of antibody. A: Deconvoluted mass spectrum of of the 0 Lys peak (theoritical MW = 23408.13
Da; Observed MW = 23408.34 Da). B: Deconvoluted spectrum of Peak A from cell culture.
The main peak (23408.44) agrees with the theoretical molecular weight of the light chain
(23408.13). Several lower intensity peaks are also observed including those with mass increases
of 130 Da and 148 Da, respectively. C: Deconvoluted mass spectrum of light chain from
Antibody A incubated in buffer containing 3 mg/mL ascorbate for 14 days at 35 ºC, showing the
same peaks as from cell cutlure.
133
Figure 4-4: Deglycosylated heavy chain spectra from reduced LC/MS analysis of fractionated
Peak A. Although two masses of +130 and +148 Da are observed, the heavy chain mass spectra
was less conclusive than the light chain mass spectra.
134
4.4.3 Tryptic mapping and LC/MS/MS detection
Tryptic mapping was performed on the recombinant monoclonal antibody produced in
cell culture supplemented with up to 3 mg/mL of ascorbate and on the 0 Lys isoform incubated
with ascorbate in vitro. It is important to note that the mass difference between these two species
is 18 daltons therefore they may be related and involve the loss of a water molecule, reminiscing
modifications of lysine or arginine residues by methylglyoxal (MGO) or other carbonyl-
containing molecules. Therefore, we searched for mis-cleaved trypic peptides and found none
with an internal arginine. Then, we examined potential modifications of primary amines,
specifically the N-termini and mis-cleaved lysine containing peptides, which did indeed produce
several possible sites of modification as shown in Table 4-1.
Specifically, the light chain N-terminal peptide had two chromatographically resolved
+148 Da peaks with close elution to the native peptide and a +130 peak that eluted later as
shown in Figure 4-5. The MS/MS spectra were analyzed for the native and modified +148 Da
and +130 Da peptides that all had y ion series which were in good agreement with the predicted
amino acid sequence and covered the entire peptide except the first two N-terminal residues as
shown in Figure 4-6. The b ion series was limited but had strong signal for the first three
residues at the N-termini. In addition, a strong signal for the native and modified a1 and a2 ions
was also present. All together, our data conclusively localized both modifications (+148 Da and
+130 Da) to the N-terminal amine of the light chain (Asp1).
135
Table 4-1. Peptides identified with modifications by xylosone (sites are denoted by asterick *
and NH2- denotes N-terminal amine).
Chain Peptide Sequence Increase in Mass (Da) Location
_______________________________________________________________________
LC *NH2-DIQMTQSPSSLSASVGDR 148, 130 N-terminus
LC NYLAWYQQK*PGK 148 Variable Region
LC APK*LLIYAASTLQSGVPSR 148 Variable Region
LC APYTFGQGTK*VEIK 148 Variable Region
LC VEIK*R 148 Constant Region
LC EAK*VQWK 148 Constant Region
LC VQWK*VDNALQSGNSQESVTEQDSK 148 Constant Region
LC DSTYSLSSTLTLSK*ADYEK 148 Constant Region
LC HK*VYACEVTHQGLSSPVTK 148 Constant Region
LC VYACEVTHQGLSSPVTK*SFNR 148 Constant Region
HC *NH2-EVQLVESGGGLVQPGR 148, 130 N-terminus
HC DNAK*NSLYLQMNSLR 148 Variable Region
HC GPSVFPLAPSSK*SGSGGTAALGCLVK 148 Variable Region
HC DYFPEPVTVSWNSGALTSGVHTFPAV
LQSSGLYSLSSVVTVPSSSLGTQTYIC
NVNHK*PSNTK 148 Constant Region
HC VSNK*ALPAPIEK 148 Constant Region
HC ALPAPIEK*TISK 148 Constant Region
HC DELTK*NQVSLTCLVK 148 Constant Region
HC TTPPVLDSDGSFFLYSK*LTVDK 148 Constant Region
HC LTVDK*SR 148 Constant Region
136
Figure 4-5: Extracted ion chromatograms (XIC) from the recombinant monoclonal antibody
tryptic map corresponding to the doubly charged light chain N-terminal peptide and N-terminal
peptides with +148 Da and +130 Da adducts. The +148 Da adduction resulted in two
chromatographically resolved species in the XIC.
137
Figure 4-6: The MS/MS spectra of the light chain N-terminal tryptic peptides from Peak A
fractionated from the recombinant monoclonal antibody supplemeted with 3 mg/mL ascorbate.
The top spectra is for the unmodified peptide; the two middle spectra show the two +148 Da
peptides, respectively; and the bottom spectra is for the +130 Da peptide. In all cases, the a1 ions
definitively localize the modifications to the N-termini of the peptides.
138
The N-terminal peptides of the heavy chain also exhibited a parent peak in the native
extracted mass chromatogram, two isobaric peaks in the extracted mass chromatogram
corresponding to a mass increase of +148 Da and two isobaric peaks in the extracted mass
chromatograms corresponding to a mass increases of +130 Da (Figure 4-7). Similar to those of
the light chain N-termini, the MS/MS spectra for all five of the peaks again showed a very strong
y ion series with good agreement with the expected amino acid sequence as shown in Figure 4-8.
Once again, the b ion series was used to definitively assign the +148 Da and +130 Da
modification to the N-termini of the two sets of resolved modified peptides.
The analysis of other peptides from the recombinant monoclonal antibody showed the
modification of mis-cleaved lysine residues (see Figures 4-9 and 4-10). However, lysines
residues exhibited lower susceptibility to modification as compared to the N-terminal primary
amines as shown in the analysis of the in vitro ascorbate incubation over time and at increasing
concentrations of ascorbate (Figure 4-11). The observation is in good agreement with the lower
pKa of the N-terminal amines (~ 8) as compared to the pKa of the lysyl amine on the side chain
(~ 10)40-41
; and of course , these modifications are also likely to be influenced by other factors
such as the antibody structure and microenvironment24, 29, 35, 42-44
. In addition, it is important to
note that only a +148 Da species was seen for all modified lysine residues in the antibody, again
suggesting local environment is likely to affect the nature and distribution of various chemical
forms, as discussed in greater details later.
139
Figure 4-7: Extracted ion chromatograms from the heavy chain N-terminal peptide. The XIC
for the +148 mass produced two peptides which elutes slightly later than the unmodified XIC.
The ratio is approximately 2:1 suggesting one of the isomers is favored over the other. The XIC
for the +130 mass also produced two peaks which also had a 2:1 ratio which suggests both
species resulted from a Schiff base formation as shown in Scheme 1.
140
Figure 4-8: MS/MS spectra from the heavy chain N-terminal peptide. The data conclusively
localizes the +148 Da and +130 Da modifications from the peaks shown in S-2 to the N-terminus
of the heavy chain.
141
Figure 4-9: Extracted ion chromatograms of an unmodified (top) peptide with an internal lysine
and the same peptide modified by a xylosone adduction. Only the +148 Da modification was
observed for all modified lysine containing peptides.
142
Figure 4-10: MS/MS spectra of the unmodified (top) and modified (bottom) lysine containing
peptides shown in S-5. The data localizes the +148 xylosone adduction to the internal lysine
residue.
143
Figure 4-11. Relative susceptabilities of representative peptides modified by xylosone
144
The same exercise was performed for the tryptic maps of the pure 0 Lys isoform treated
with ascorbate in vitro (0.1, 1.0 and 3.0 mg/mL) over time (3, 5, 11 and 14 days). The same
modifications of the heavy chain and light chain N-terminal peptides were observed by the
presence of mass increases of +130 Da and +148 Da on these peptides, respectively (Figure 4-12
and Figure 4-13). Additionally, the MS/MS data once again localized the increase to the
respective N-terminal residues (data not shown). Furthermore, miscleaved lysine containing
peptides were also observed to a similarly lesser degree. The relative susceptibilities and rate of
the modification to these representative peptides are shown in Figure 4-11. Reduced LC/MS
analysis of the light chain also showed a correlation between the duration of the in vitro
incubation and the extent of these modifications (Figure 4-14). Thus, the modifications observed
in the cell culture samples supplemented with ascorbate were in good agreement with the
modifications seen from in vitro treatment, narrowing down the modification species to ascorbic
acid or its derivatives.
145
Figure 4-12: Comparison of XIC’s of modified light chain N-terminal peptides generated in cell
culture (Peak A) or during in vitro incubation with ascorbate. The overall chromatographic
profiles between the two samples are in good agreement suggesting the same chemical
modifications are generated in both conditions.
146
Figure 4-13: Comparison of XIC’s of modified heavy chain N-terminal peptides generated in
cell culture (Peak A) or during in vitro incubation with ascorbate. Once again, the overall
chromatographic profiles between the two samples are in good agreement suggesting the same
chemical modifications are generated in both conditions.
147
Figure 4-14: Reduced LC/MS of light chain from recombinant mAb incubated with xylosone
over time. The data show that the levels of the +130 and +148 Da modifications increase over
time.
148
4.4.4 Elucidation of the modification agent as xylosone
The mass of ascorbate is 176 Da which is 28 Da greater than the +148 modification
observed, so it was unlikely that ascorbate itself modified the antibody, but rather its degradation
product(s) was the likely culprit(s). Another hint is the 18 Da difference (130 vs 148 Da)
between the two observed modifications, suggesting a dehydration (elimination of a water
molecule) following the initial reaction; this is reminiscent of modifications of lysine or arginine
residues by methylglyoxal (MGO) or other carbonyl-containing molecules. All together, we
postulated that the bona fide reactive species should be degraded from ascorbate and also contain
reactive carbonyl group(s). Xylosone thus emerged as a likely candidate as it has been reported
as a degradation product of ascorbate (see Scheme 4-1 for its formation pathway) 38
.
Furthermore, xylosone has a mass of 148 Da and two carbonyl groups. The 130 Da adduct may
be due to the loss of a water molecule following the initial addition reaction between the
carbonyl group of xylosone and the amines in the protein (hemiaminal to Schiff base as shown in
Scheme 4-1).
149
Scheme 4-1:
150
4.4.5 Incubation of antibody with 13
C Regio-labeled ascorbate
Isotopic labeling and tracing often provides detailed mechanistic insights45-47
. In order to
confirm that ascorbate was degraded to xylosone (losing the carbon atom at 1 position), which in
turn modified the antibody, we used ascorbate regio-specifically labeled with 13
C (at C1, C2 or
C3 carbon, respectively, as shown in Figure 4-15, A). Following incubation with unlabeled
ascorbate or one of the three regio-labeled ascorbate molecules, the antibody was analyzed by
tryptic peptide mapping with mass spectrometry detection. The results (Figure 4-15, B) lended
conclusive evidence supporting the mechanism in Scheme 4-1: labeling at the C1 position (13
C
or 12
C) produced the same mass spectra; in contrast, ascorbate with 13
C labeling at C2 or C3
shifted the peaks to 1 m/z higher compared to 12
C ascorbate (+149 vs +148 and 131 vs 130,
respectively). In addition, MS/MS localized the modification to the light chain N-terminal
residue or heavy chain N-terminal residue including the heavy label for the C2 and C3 regio-
labeled ascorbates as shown in Figure 4-16 and Figure 4-17, respectively. Thus, the data have
verified that the C1 carbon in ascorbate is lost but neither C2 nor C3. Therefore, our data
confirmed that ascorbate was converted to xylosone with the concomitant loss of C1 carbon atom
as illustrated in Scheme 4-1.
151
Figure 4-15: A: Structures of the four different isotopic isoforms of ascorbate used to probe the
structure of the +130 Da and +148 Da adducts. The red dot denotes carbon-13 labeling at a
given position. B: The mass spectra of the doubly charged modified light chain N-terminal
trypic peptide of Antibody A incubated with 3 mg/mL of ascorbate. The pattern of mass shift,
indicates that the carbon atom at 1 position in ascorbate is cleaved off in the final adducts,
consistent with the proposed mechanism of xylosone being the reactive intermediate (see
Scheme 4-1).
152
Figure 4-16: MS/MS spectra of light chain modified by xylosone derived from ascorbic acid or
ascorbic acid with 13C at C1, C2 or C3, respectively. The heavy label is not retained in the
ascorbate labeling at C1 but is retained when labeled at C2 and C3 thus conforming that
ascorbate is degrading to xylosone which subsequently modifies susceptible primary amines.
153
Figure 4-17: MS/MS spectra of heavy chain modified by xylosone derived from ascorbic acid or
ascorbic acid with 13C at C1, C2 or C3, respectively. The data supports the conversion of
ascorbate to xylosone and subsequent modification to the heavy chain N-terminal primary amine.
154
4.4.6 Chemical Nature of the Modfications
When a carbonyl reacts with an amine, two products may form: the initial addition
reaction leads to a hemiaminal (see Scheme 4-1) with a mass equals to the total of the masses of
the two reactants (amine and carbonyl; for xylosone, 148 Da); a subsequent elimination of a
water molecule (18 Da) leads to a Schiff base (imine, see Scheme 4-1) with a mass that is 18 Da
less than the hemiaminal (148-18=130 Da). Hence the masses of the two adducts match with the
observed masses.
The underlying chemistry, including stereo-, regio- and positional isomers of the adducts,
also explains the multiple isobaric peaks observed (see Figures 4-5 and 4-7). For instance, the
formation of the hemiaminal can result in two stereoisomers (the chiral center is denoted with an
* in Scheme 4-1). Two other factors further complicate the situation: first, two carbonyls exist in
xylosone; and second, xylosone may exist in both cyclic and acyclic forms (see Schemes 4-2 and
4-3), and each may lead to the hemiaminal and Schiff base forms described above. Furthermore,
the Schiff bases can undergo further cyclization as well (Scheme 4-3).
For this antibody, no modification of arginine was observed; at first, it was some what
surprising to us as both xylosone and methylglyoxal contain two adjacent carbonyl groups.
However, upon closer inspection, as shown in Scheme 4-2, several hydroxyl groups in xylosone
can readily form stable cyclic hemiacetal or hemiketal with one of the carbonyl group, thereby
leaving only one reactive carbonyl group for further reactions with amines that is similar to that
of glycation of amines. Of course, protein structures and local environments can certainly affect
the stability of the products described above24
. For example, for some other proteins,
modification of arginine by xylosone was reported48
.
155
Ascorbate oxidative degradants have been reported as a source of chemical modifications
in human eye lens and were shown to modify lysine and arginine residues in model systems38-39
.
However, neither a +148 Da or +130 Da mass deviation nor are listed as a xylosone modification
in the ABRF Delta Mass database (www.abrf.org/index.cfm/dm.home) or the Unimod database
(www.unimod.org). To the best of our knowledge, this is the first report of a xylosone
modification of a recombinant monoclonal antibody.
156
Scheme 4-2. Reaction scheme of cyclic xylosone with a protein primary amine.
157
Scheme 4-3: Reaction scheme of acyclic xylosone with a protein primary amine.
158
4.4.7 Cell Culture Media Additives
Cell culture scientists are under constant pressure to increase titers, enhance cell culture
performance and improve product quality. The practice of modifying the cell culture medium is
the predominant tool used to address these goals10, 49-54
. However, it is difficult to predict
whether a specific additive will address a specific biochemical need of the host cell with the
desired outcome or whether these good intentions will go awry (see Table 4-2). Occasionally, a
cell culture additive may have negative implications on product quality55-58
. In our study, a
recombinant monoclonal antibody (adalimumab) exhibited a difference in product quality
following a change to the cell culture conditions. Our initial observations were confounded by
the fact that ascorbate unexpectedly degraded quite rapidly to xylosone that in turn exhibited
reactivity with susceptible primary amines. It has been well established that increasing glucose
levels in a cell culture will increase the potential for glycation to occur through well understood
chemistry26-27
. However, the discovery that ascorbate supplementation to the cell culture of a
recombinant monoclonal antibody induced a novel glycation-like modification by xylosone was
quite surprising and is a reminder that product quality is another parameter that must be
considered when making changes to the cell culture feeding strategies. Futhermore, it is worth
noting that xylosone almost certainly modifies a myriad of proteins of the host cells, thereby
directly affecting a broad range of biological activities ultimately impacting the culture viability.
159
Table 4-2: List of cell culture additives shown to affect the product quality
1. Wong, D.C.F., et al., Impact of dynamic online fed-batch strategies on metabolism, productivity and N-glycosylation
quality in CHO cell cultures. Biotechnology and Bioengineering, 2005. 89(2): p. 164-177.
2. Jing, Y., et al., Identification of cell culture conditions to control protein aggregation of IgG fusion proteins expressed
in Chinese hamster ovary cells Process Biochemistry 2012. 47(1): p. 69-75.
3. Crowell, C.K., et al., Amino acid and manganese supplementation modulates the glycosylation state of erythropoietin
in a CHO culture system. Biotechnol Bioeng, 2007. 96(3): p. 538-49.
4. Banks, D.D., et al., The effect of sucrose hydrolysis on the stability of protein therapeutics during accelerated
formulation studies. J Pharm Sci, 2009. 98(12): p. 4501-10.
5. Fischer, S., J. Hoernschemeyer, and H.C. Mahler, Glycation during storage and administration of monoclonal antibody
formulations. Eur J Pharm Biopharm, 2008. 70(1): p. 42-50.
6. Hossler, P., et al., Cell culture media supplementation of uncommonly used sugars sucrose and tagatose for the
targeted shifting of protein glycosylation profiles of recombinant protein therapeutics. Biotechnol Prog, 2014.
7. Gramer, M.J., et al., Modulation of antibody galactosylation through feeding of uridine, manganese chloride, and
galactose. Biotechnol Bioeng, 2011. 108(7): p. 1591-602.
8. Hayter, P.M., et al., Glucose-limited chemostat culture of Chinese hamster ovary cells producing recombinant human
interferon-gamma. Biotechnol Bioeng, 1992. 39(3): p. 327-35.
9. Yuk, I.H., et al., Controlling glycation of recombinant antibody in fed-batch cell cultures. Biotechnol Bioeng, 2011.
108(11): p. 2600-10.
10. Tachibana, H., et al., Changes of monosaccharide availability of human hybridoma lead to alteration of biological
properties of human monoclonal antibody. Cytotechnology, 1994. 16(3): p. 151-7.
11. Baker, K.N., et al., Metabolic control of recombinant protein N-glycan processing in NS0 and CHO cells. Biotechnol
Bioeng, 2001. 73(3): p. 188-202.
12. Gu, X. and D.I. Wang, Improvement of interferon-gamma sialylation in Chinese hamster ovary cell culture by feeding
of N-acetylmannosamine. Biotechnol Bioeng, 1998. 58(6): p. 642-8.
13. Kaufman, R.J., M. Swaroop, and P. Murtha-Riel, Depletion of manganese within the secretory pathway inhibits O-
linked glycosylation in mammalian cells. Biochemistry, 1994. 33(33): p. 9813-9.
14. Chaderjian, W.B., et al., Effect of copper sulfate on performance of a serum-free CHO cell culture process and the
level of free thiol in the recombinant antibody expressed. Biotechnol Prog, 2005. 21(2): p. 550-3.
Compound Type Product Quality Impact Reference
Gln Amino Acid Low glutamine decreased sialylation and increased
hybrid and high mannose N-glycans [1]
Cystine Amino Acid Reduced protein aggregation [2]
Cys, Ile, Leu, Trp,
Val, Asn, Asp, Glu Amino Acid Increased sialylation [3]
Sucrose Sugar Increased glycation [4, 5]
Increased high mannose N-glycans [6]
Galactose Sugar Increased G1/G2 N-glycans [7]
Glucose Sugar
Low glucose reduced full glycosylation [8]
Low glucose reduced glycation [9]
Changes in antigen binding due to changes in
glycosylation [10]
ManNAc Sugar Increased sialylation [11, 12]
GlcNAc, uridine,
ManNAc Sugar Increased glycan antennarity [11]
Mn Trace Metal Increased G1/G2 N-glycans [7]
Low Mn inhibited O-glycosylation [13]
Cu Trace Metal Promoted disulfide bond reformation [14]
Fe Trace Metal Increased protein oxidation [15]
Co Trace Metal Increased G1/G2 N-glycans [16]
Ascorbate Vitamin Increased peptide bond breakage and deamination [17]
DMSO Non-nutrient Reduced sialylation [18]
Glycerol Non-nutrient Increased sialylation, decreased aggregation [18]
Dexamethasone Non-nutrient Decreased aggregation [19]
160
15. Kim, K., S.G. Rhee, and E.R. Stadtman, Nonenzymatic cleavage of proteins by reactive oxygen species generated by
dithiothreitol and iron. J Biol Chem, 1985. 260(29): p. 15394-7.
16. Hossler, P., C. Racicot, and S. McDermott Targeted shifting of protein glycosylation profiles in mammalian cell culture
through media supplementation of cobalt. Journal of Glycobiology, 2014. 3.
17. Richheimer, A. and A.B. Robinson, Degradation of transferrin in the presence of ascorbic acid and oxygen.
Orthomolecular Psychiatry, 1977. 6(4): p. 290-299.
18. Rodriguez, J., et al., Enhanced production of monomeric interferon-beta by CHO cells through the control of culture
conditions. Biotechnol Prog, 2005. 21(1): p. 22-30.
19. Qian, Y., Y. Jing, and Z.J. Li, Glucocorticoid receptor-mediated reduction of IgG-fusion protein aggregation in
Chinese hamster ovary cells. Biotechnol Prog, 2010. 26(5): p. 1417-23.
161
4.4.8 Acidic Species
The modification of a recombinant monoclonal antibody by xylosone led to an increase
in acidic species. Acidic species has been widely studied with regards to recombinant
biotherapeutics. Common contributors include asparagine deamidation59-62
, glycation of primary
amines26-27, 45
, incorporation of sialic acid63
, etc. and our recent studies showing methylglyoxal
(MGO) modification of arginine residues29
and covalent adduction of the N-terminal primary
amines by citrate64
. In all these cases, there is a change in formal charge either due to the
introduction of a carboxylate into the molecule or the perturbation of a basic residue protonation
due to a depression in its ionizable group’s pKa. The adduction of the N-terminus of heavy and
light chains and lysine primary amines of the recombinant monoclonal antibody by xylosone
appears to follow this second case. Thus, in depth studies of the underlying cause of acidic
species helps analytical scientists establish general chemical susceptibilities that provide insight
and may ultimately allow the assignment of all molecular variants which exist in this highly
heterogeneous region65
.
4.5 Conclusions
Cell culture supplementation with ascorbic acid caused an unexpected change to the
product quality of a recombinant monoclonal antibody, therefore the use of ascorbic acid as a
supplement should be taken with caution. The recombinant monoclonal antibody was modified
by xylosone, a highly reactive species generated as an oxidative degradation product of
ascorbate, but not directly introduced into the culture. In addition, xylosone almost certainly
modifies a myriad of proteins of the host cells, thereby directly affecting a broad range of
162
biological activities which may impact the culture viability. With the advancement in protein
mass spectrometry and the increasing awareness of issues highlighted in this paper, similar
modifications and mechanisms will likely be revealed in other systems and proteins. Altogether,
better understanding and critical consideration of the latent reactivities of any addictives —and
particularly, deleterious consequences—would be prudent to ensure the quality of protein
products.
163
4.6 References:
1. J. Zaia, Mass Spectrometry Reviews 2004, 23. 161-227, DOI: 10.1002/mas.10073.
2. C. Fenselau, M. M. Vestling, R. J. Cotter, Current Opinion in Biotechnology 1993, 4. 14-
19, DOI: http://dx.doi.org/10.1016/0958-1669(93)90026-S.
3. Z. L. Awdeh, A. R. Williamson, B. A. Askonas, Biochemical Journal 1970, 116. 241-
248.
4. H. Liu, G. Gaza-Bulseco, D. Faldu, C. Chumsae, J. Sun, Journal of Pharmaceutical
Sciences 2008, 97. 2426-2447, DOI: 10.1002/jps.21180.
5. M. Manning, D. Chou, B. Murphy, R. Payne, D. Katayama, Pharmaceutical Research
2010, 27. 544-575, DOI: 10.1007/s11095-009-0045-6.
6. J. Vlasak, R. Ionescu, Current Pharmaceutical Biotechnology 2008, 9. 468-481, DOI:
10.2174/138920108786786402.
7. J. van der Valk, D. Brunner, K. De Smet, Å. Fex Svenningsen, P. Honegger, L. E.
Knudsen, T. Lindl, J. Noraberg, A. Price, M. L. Scarino, G. Gstraunthaler, Toxicology in Vitro
2010, 24. 1053-1063, DOI: http://dx.doi.org/10.1016/j.tiv.2010.03.016.
8. F. M. Wurm, Nat Biotech 2004, 22. 1393-1398, DOI: 10.1038/nbt1026.
9. D. C. F. Wong, K. T. M. Wong, L. T. Goh, C. K. Heng, M. G. S. Yap, Biotechnology and
Bioengineering 2005, 89. 164-177.
10. M. J. Gramer, J. J. Eckblad, R. Donahue, J. Brown, C. Shultz, K. Vickerman, P. Priem, E.
T. van den Bremer, J. Gerritsen, P. H. van Berkel, Biotechnol Bioeng 2011, 108. 1591-602, DOI:
10.1002/bit.23075.
11. Y. Jing, M. Borys, S. Nayak, S. Egan, Y. Qian, S.-H. Pan, Z. J. Li, Process Biochemistry
2012, 47. 69-75, DOI: http://dx.doi.org/10.1016/j.procbio.2011.10.009.
12. C. K. Crowell, G. E. Grampp, G. N. Rogers, J. Miller, R. I. Scheinman, Biotechnology
and Bioengineering 2007, 96. 538-549, DOI: 10.1002/bit.21141.
13. P. Hossler, S. McDermott, C. Racicot, C. Chumsae, H. Raharimampionona, Y. Zhou, D.
Ouellette, J. Matuck, I. Correia, J. Fann, J. Li, Biotechnology Progress 2014, 30. 1419-1431,
DOI: 10.1002/btpr.1968.
164
14. H. Tachibana, K. Taniguchi, Y. Ushio, K. Teruya, K. Osada, H. Murakami,
Cytotechnology 1994, 16. 151-157, DOI: 10.1007/bf00749902.
15. S. R. Pinnell, The Yale Journal of Biology and Medicine 1985, 58. 553-559.
16. S. Lee, D. Pagoria, A. Raigrodski, W. Geurtsen, Journal of Biomedical Materials
Research Part B: Applied Biomaterials 2007, 83B. 391-399, DOI: 10.1002/jbm.b.30808.
17. H. Fukumura, M. Sato, K. Kezuka, I. Sato, X. Feng, S. Okumura, T. Fujita, U.
Yokoyama, H. Eguchi, Y. Ishikawa, T. Saito, The Journal of Physiological Sciences 2012, 62.
251-257, DOI: 10.1007/s12576-012-0204-0.
18. J. Du, J. J. Cullen, G. R. Buettner, Biochimica et Biophysica Acta (BBA) - Reviews on
Cancer 2012, 1826. 443-457, DOI: http://dx.doi.org/10.1016/j.bbcan.2012.06.003.
19. M. Levine, K. Morita, E. Heldman, H. B. Pollard, Journal of Biological Chemistry 1985,
260. 15598-15603.
20. Z. Xing, B. M. Kenty, Z. J. Li, S. S. Lee, Biotechnology and Bioengineering 2009, 103.
733-746, DOI: 10.1002/bit.22287.
21. X. Kang, N. Li, M. Wang, P. Boontheung, C. Sioutas, J. R. Harkema, L. A. Bramble, A.
E. Nel, J. A. Loo, Proteomics 2010, 10. 520-531, DOI: 10.1002/pmic.200900573.
22. Michael P. Murphy, Biochemical Journal 2009, 417. 1-13, DOI: 10.1042/bj20081386.
23. L. Pauling, Vitamin C and the Common Cold (abridged). Bantam: 1972.
24. G. Zhao, Z. S. Zhou, Bioorganic & Medicinal Chemistry Letters 2001, 11. 2331-2335,
DOI: http://dx.doi.org/10.1016/S0960-894X(01)00440-1.
25. S. Biastoff, M. Teuber, Z. S. Zhou, B. Dräger, Planta Med 2006, 72. 1136-1141, DOI:
10.1055/s-2006-947191.
26. C. Quan, E. Alcala, I. Petkovska, D. Matthews, E. Canova-Davis, R. Taticek, S. Ma,
Analytical Biochemistry 2008, 373. 179-191, DOI: http://dx.doi.org/10.1016/j.ab.2007.09.027.
27. B. Zhang, Y. Yang, I. Yuk, R. Pai, P. McKay, C. Eigenbrot, M. Dennis, V. Katta, K. C.
Francissen, Analytical Chemistry 2008, 80. 2379-2390, DOI: 10.1021/ac701810q.
28. I. H. Yuk, B. Zhang, Y. Yang, G. Dutina, K. D. Leach, N. Vijayasankaran, A. Y. Shen,
D. C. Andersen, B. R. Snedecor, J. C. Joly, Biotechnol Bioeng 2011, 108. 2600-10, DOI:
10.1002/bit.23218.
29. C. Chumsae, K. Gifford, W. Lian, H. Liu, C. H. Radziejewski, Z. S. Zhou, Analytical
Chemistry 2013, 85. 11401-11409, DOI: 10.1021/ac402384y.
165
30. F. W. R. Chaplen, W. E. Fahl, D. C. Cameron, Proceedings of the National Academy of
Sciences 1998, 95. 5533-5538.
31. W. M. Williams, A. Weinberg, M. A. Smith, Journal of Amino Acids 2011, 2011. DOI:
10.4061/2011/461216.
32. H. S. Gadgil, P. V. Bondarenko, G. D. Pipes, T. M. Dillon, D. Banks, J. Abel, G. R.
Kleemann, M. J. Treuheit, Analytical Biochemistry 2006, 355. 165-174, DOI:
http://dx.doi.org/10.1016/j.ab.2006.05.037.
33. T. Adachi, C. Schöneich, R. A. Cohen, Drug Discovery Today: Disease Mechanisms
2005, 2. 39-46, DOI: http://dx.doi.org/10.1016/j.ddmec.2005.05.022.
34. R. Sun, S. Eriksson, L. Wang, Journal of Biological Chemistry 2012, 287. 24304-24312,
DOI: 10.1074/jbc.M112.381996.
35. T. Zang, S. Dai, D. Chen, B. W. K. Lee, S. Liu, B. L. Karger, Z. S. Zhou, Analytical
Chemistry 2009, 81. 9065-9071, DOI: 10.1021/ac9017132.
36. Z. Wang, T. Rejtar, Z. S. Zhou, B. L. Karger, Rapid Communications in Mass
Spectrometry 2010, 24. 267-275, DOI: 10.1002/rcm.4383.
37. Z. S. Zhou, A. E. Smith, R. G. Matthews, Bioorganic & Medicinal Chemistry Letters
2000, 10. 2471-2475, DOI: http://dx.doi.org/10.1016/S0960-894X(00)00498-4.
38. I. Nemet, V. M. Monnier, Journal of Biological Chemistry 2011, 286. 37128-37136,
DOI: 10.1074/jbc.M111.245100.
39. M. Linetsky, E. Shipova, R. Cheng, B. J. Ortwerth, Biochimica et Biophysica Acta (BBA)
- Molecular Basis of Disease 2008, 1782. 22-34, DOI:
http://dx.doi.org/10.1016/j.bbadis.2007.10.003.
40. J. M. Gilmore, R. A. Scheck, A. P. Esser-Kahn, N. S. Joshi, M. B. Francis, Angewandte
Chemie International Edition 2006, 45. 5307-5311, DOI: 10.1002/anie.200600368.
41. L. S. Witus, T. Moore, B. W. Thuronyi, A. P. Esser-Kahn, R. A. Scheck, A. T. Iavarone,
M. B. Francis, Journal of the American Chemical Society 2010, 132. 16812-16817, DOI:
10.1021/ja105429n.
42. Z. S. Zhou, A. Flohr, D. Hilvert, The Journal of Organic Chemistry 1999, 64. 8334-8341,
DOI: 10.1021/jo991299a.
43. Z. S. Zhou, N. Jiang, D. Hilvert, J. Am. Chem. Soc. 1997, 119. 3623-3624, DOI:
10.1021/ja963748j.
166
44. S. Gui, W. L. Wooderchak-Donahue, T. Zang, D. Chen, M. P. Daly, Z. S. Zhou, J. M.
Hevel, Biochemistry 2012, 52. 199-209, DOI: 10.1021/bi301283t.
45. J. Zhang, T. Zhang, L. Jiang, D. Hewitt, Y. Huang, Y.-H. Kao, V. Katta, Analytical
Chemistry 2012, 84. 2313-2320, DOI: 10.1021/ac202995x.
46. M. Liu, Z. Zhang, T. Zang, C. Spahr, J. Cheetham, D. Ren, Z. Sunny Zhou, Analytical
Chemistry 2013, 85. 5900-5908, DOI: 10.1021/ac400666p.
47. W. Wan, G. Zhao, K. Al-Saad, W. F. Siems, Z. S. Zhou, Rapid Communications in Mass
Spectrometry 2004, 18. 319-324, DOI: 10.1002/rcm.1335.
48. K.-W. Lee, G. Simpson, B. Ortwerth, Biochimica et Biophysica Acta (BBA) - Molecular
Basis of Disease 1999, 1453. 141-151, DOI: http://dx.doi.org/10.1016/S0925-4439(98)00097-0.
49. K. N. Baker, M. H. Rendall, A. E. Hills, M. Hoare, R. B. Freedman, D. C. James,
Biotechnol Bioeng 2001, 73. 188-202, DOI: 10.1002/bit.1051 [pii].
50. X. Gu, D. I. Wang, Biotechnol Bioeng 1998, 58. 642-8, DOI: 10.1002/(SICI)1097-
0290(19980620)58:6<642::AID-BIT10>3.0.CO;2-9 [pii].
51. Y. Qian, Y. Jing, Z. J. Li, Biotechnol Prog 2010, 26. 1417-23, DOI: 10.1002/btpr.456.
52. J. Rodriguez, M. Spearman, N. Huzel, M. Butler, Biotechnol Prog 2005, 21. 22-30, DOI:
10.1021/bp049807b.
53. P. Hossler, C. Racicot, S. McDermott, in Journal of Glycobiology. OMICS Publishing
Group, 2014, vol. 3.
54. W. B. Chaderjian, E. T. Chin, R. J. Harris, T. M. Etcheverry, Biotechnol Prog 2005, 21.
550-3, DOI: 10.1021/bp0497029.
55. D. D. Banks, D. M. Hambly, J. L. Scavezze, C. C. Siska, N. L. Stackhouse, H. S. Gadgil,
J Pharm Sci 2009, 98. 4501-10, DOI: 10.1002/jps.21749.
56. S. Fischer, J. Hoernschemeyer, H. C. Mahler, Eur J Pharm Biopharm 2008, 70. 42-50,
DOI: 10.1016/j.ejpb.2008.04.021
S0939-6411(08)00179-3 [pii].
57. K. Kim, S. G. Rhee, E. R. Stadtman, J Biol Chem 1985, 260. 15394-7.
58. A. Richheimer, A. B. Robinson, Orthomolecular Psychiatry 1977, 6. 290-299.
59. J. F. Alfaro, L. A. Gillies, H. G. Sun, S. Dai, T. Zang, J. J. Klaene, B. J. Kim, J. D.
Lowenson, S. G. Clarke, B. L. Karger, Z. S. Zhou, Analytical Chemistry 2008, 80. 3882-3889,
DOI: 10.1021/ac800251q.
167
60. M. Liu, J. Cheetham, N. Cauchon, J. Ostovic, W. Ni, D. Ren, Z. S. Zhou, Analytical
Chemistry 2011, 84. 1056-1062, DOI: 10.1021/ac202652z.
61. W. Ni, S. Dai, B. L. Karger, Z. S. Zhou, Analytical Chemistry 2010, 82. 7485-7491, DOI:
10.1021/ac101806e.
62. S. Dai, W. Ni, A. N. Patananan, S. G. Clarke, B. L. Karger, Z. S. Zhou, Analytical
Chemistry 2013, 85. 2423-2430, DOI: 10.1021/ac303428h.
63. R. Jefferis, Biotechnology Progress 2005, 21. 11-16, DOI: 10.1021/bp040016j.
64. C. Chumsae, L. L. Zhou, Y. Shen, J. Wohlgemuth, E. Fung, R. Burton, C. Radziejewski,
Z. S. Zhou, Analytical Chemistry 2014, 86. 8932-8936, DOI: 10.1021/ac502179m.
65. T. Chen, N. Nayak, S. M. Majee, J. Lowenson, K. R. Schäfermeyer, A. C. Eliopoulos, T.
D. Lloyd, R. Dinkins, S. E. Perry, N. R. Forsthoefel, S. G. Clarke, D. M. Vernon, Z. S. Zhou, T.
Rejtar, A. B. Downie, Journal of Biological Chemistry 2010, 285. 37281-37292, DOI:
10.1074/jbc.M110.157008.
168
Chapter 5. Perspectives and Future Directions
5.1 Perspectives and Future Directions
From a quote previously mentioned “analytical chemists are very good at finding what
they know”. Recombinant proteins are extremely complex molecules and in addition to changes
driven due to primary structure (deamidation, oxidation, N-terminal pyroglutamate, etc.), they
are also subject to modifications by enzymes, reactive metabolites, cell culture additives and
formulation excipients. The intracellular environment is in constant flux which is exacerbated by
the high demands of the protein drug expression, high cell densities and flux in redox. All of
these can induce changes to the environment where reactive molecules may appear.
As discussed in this dissertation, both advanced glycation end products and xylosone
have been implicated in protein crosslinking. More recently, it has been shown that protein
crosslinks may be detected using 18
O labeling with an algorithm which looks for a signature
crosslink pattern based on the presence of two C-termini1. Such an approach should be applied
to samples where the prevalence of AGEs or xylosone is apparent. In addition, such an approach
may uncover other reactive species in cell culture.
The targeted search for events known to be associated with ROS may prove fruitful. For
instance, racemization has been associated with protein aging and may be facilitated in
environments when the levels of reactive oxygen species increase. Recent reports present
analytical methodologies which may be applied to help detect and quantify the levels of
racemization which may be occurring2. Hydrogen-deuterium exchange of the alpha carbon
proton has proven a valuable approach in assessing which residues in the primary structure
underwent the formation of the racemization intermediate thereby providing regions worth
investigating further3. These occurrences along with changes in chromatographic behavior could
169
effectively probe the primary structure of the antibody for racemization as a result of a stressed
cellular environment.
As discussed previously, sulfenylation has emerged as another posttranslational
modification linked to the formation of ROS4. They should certainly be considered in
recombinant monoclonal antibody production. The recently reported trapping strategies may
prove quite useful. In addition, other variants associated with cysteine residues such as
trisulfides should be further investigated5. Like sulfenylated products, the trisulfides are also
labile therefore they may be more prevalent than currently thought.
The current work presented focused on the recombinant monoclonal antibody product.
However, modifications of other endogenous CHO cell proteins by reactive species such as
methylglyoxal could also have impactful consequences to the cell culture. Analytical studies to
focus of CHO proteins should be performed. Proteomics analysis of cell culture lysates from
varying degrees of stress could probe for proteins susceptible to this modification. The influence
such a modification could have on the cell viability or the expression levels should be
investigated.
The structure-function relationship of recombinant monoclonal antibodies exhibiting
chemical modification would prove prudent. Chemical modifications to the CDRs may likely
affect the ability of the antibody to bind its intended target. An investigation of antibody
function using surface plasmon resonance may provide clues to underlying chemical
modifications. If resolved regions of the ‘acidic species’ have reduced binding to the epitope, it
would suggest that a chemical modification is a likely cause. Additionally, modifications to the
FC region of the antibody could influence the Effector Functions. This could have further
reaching implications beyond the protein drug. These conserved regions share homology with
170
endogenous human IgG1 therefore sites susceptible be reactive species in CHO cell culture will
likely extrapolate to susceptible human IgG.
The mass spectrometry search algorithms are lacking. These tools are capable of
reporting chemical modifications which are considered by the application. They are not capable
of reporting mystery mass shifts however due to the algorithms de-coupling of MS and MS/MS
data. The MS/MS spectral data used to identify a peptide should be linked with the observed
parent mass. Should the fragmentation profile be in good agreement with neutral losses
corresponding to a region of the fasta sequence but the parent mass deviate from the theoretical,
it should flag it along with the mass shift. In this way, the target peptide, the mass change and
potentially the target residue would be reported. Seldom, do modifications happen at only a
single site therefore the presence of multiple flags for the same variant would increase the
likelihood of its validity. Such information would be a major breakthrough for the identification
of unknown chemical modification. Communicating with groups like Protein Metrics or Peaks
on needs for future versions of their data analysis packages could make this approach a reality.
Mass spectrometry is constantly evolving to meet the demands of drug discovery.
Accordingly, instruments are achieving greater sensitivity, faster scan rates and higher
resolution. In addition, fragmentation technologies are also improving to where Top Down and
Middle Down approaches are becoming more and more robust6-7
. Such approaches may be able
to detect lower abundance mass shifts enabling easier identification of variants. In addition
ETD, electron transfer dissociation, has matured into a valuable tool for measuring more labile
chemical modification. ETD has been used to successfully perform Top Down analysis on the
heavy and light chains of a recombinant monoclonal antibody8. Using this approach to carefully
171
dissect and discern isolated regions of the weak cation exchange profile may provide a molecular
mapping of the antibody elution profile and help to uncover what is influencing it.
Alternative approaches to evaluating charge heterogeneity should be investigated. The
Agilent OffGel Fractionator may be applied to the separation of charge variants in a recombinant
monoclonal antibody. The separation mechanism is equivalent to isoelectric focusing, however,
discrete bands separated by differences in pI can be recovered to measurable amounts and
subjected to analysis by mass spectrometry9. This approach would differ from weak cation
exchange chromatography in that charge differences not associated with surface residues could
be elucidated.
Alternatively, chromatofocusing is becoming more widely used for the analysis of charge
heterogeneity. It is a hybrid technique which utilizes ampholytes to produce a pH gradient thus
influencing the charge as the pH approaches the isoelectric point10
. Additionally, the interaction
between the protein and the weak cation exchange column still relies on surface charge. The
intriguing aspect of chromatofocusing is the possibility of coupling this technique directly to a
mass spectrometer. Salt based separations are not compatible with mass spectrometry but a
separation which uses MS friendly ampholytes may be able to bridge the gap between isolation
and analysis. This approach deserves further investigation.
In conclusion, the most critical aspects to discover an unknown variant in recombinant
monoclonal antibody is staying well informed of the science. A continued pursuit in
understanding chemical biology, biochemistry, advances in analytics and the current reports in
the literature pertaining to antibody heterogeneity are essential. Being well informed of possible
reactive species increases the likelihood that an unassuming peak in a mass spectrum is not
missed. It is of course through my training over the past five years that I have come this point
172
where I have contributed to what is known about recombinant monoclonal antibody
heterogeneity and as I look towards the future, it is the continued pursuit of the science which
will lead to the yet unwritten chapters.
173
5.2 References
1. M. Liu, Z. Zhang, T. Zang, C. Spahr, J. Cheetham, D. Ren, Z. S. Zhou, Discovery of
Undefined Protein Cross-Linking Chemistry: A Comprehensive Methodology Utilizing 18O-
Labeling and Mass Spectrometry. Analytical Chemistry 2013, 85. 5900-5908, DOI:
10.1021/ac400666p.
2. Q. Zhang, G. C. Flynn, Cysteine Racemization on IgG Heavy and Light Chains. The
Journal of Biological Chemistry 2013, 288. 34325-34335, DOI: 10.1074/jbc.M113.506915.
3. L. Huang, X. Lu, P. C. Gough, M. R. De Felippis, Identification of Racemization Sites
Using Deuterium Labeling and Tandem Mass Spectrometry. Analytical Chemistry 2010, 82.
6363-6369, DOI: 10.1021/ac101348w.
4. Y. H. Seo, K. S. Carroll, Quantification of Protein Sulfenic Acid Modifications Using
Isotope-Coded Dimedone and Iododimedone. Angewandte Chemie International Edition 2011,
50. 1342-1345, DOI: 10.1002/anie.201007175.
5. P. Pristatsky, S. L. Cohen, D. Krantz, J. Acevedo, R. Ionescu, J. Vlasak, Evidence for
trisulfide bonds in a recombinant variant of a human IgG2 monoclonal antibody. Anal Chem
2009, 81. 6148-55.
6. J. R. Auclair, J. P. Salisbury, J. L. Johnson, G. A. Petsko, D. Ringe, D. A. Bosco, N. Y.
Agar, S. Santagata, H. D. Durham, J. N. Agar, Artifacts to avoid while taking advantage of top-
down mass spectrometry based detection of protein S-thiolation. Proteomics 2014, 14. 1152-7.
7. X. Dang, J. Scotcher, S. Wu, R. K. Chu, N. Tolic, I. Ntai, P. M. Thomas, R. T. Fellers, B.
P. Early, Y. Zheng, K. R. Durbin, R. D. Leduc, J. J. Wolff, C. J. Thompson, J. Pan, J. Han, J. B.
Shaw, J. P. Salisbury, M. Easterling, C. H. Borchers, J. S. Brodbelt, J. N. Agar, L. Pasa-Tolic, N.
L. Kelleher, N. L. Young, The first pilot project of the consortium for top-down proteomics: a
status report. Proteomics 2014, 14. 1130-40.
8. L. Fornelli, E. Damoc, P. M. Thomas, N. L. Kelleher, K. Aizikov, E. Denisov, A.
Makarov, Y. O. Tsybin, Analysis of Intact Monoclonal Antibody IgG1 by Electron Transfer
Dissociation Orbitrap FTMS. Molecular & Cellular Proteomics : MCP 2012, 11. 1758-1767,
DOI: 10.1074/mcp.M112.019620.
9. E. Mostovenko, C. Hassan, J. Rattke, A. M. Deelder, P. A. van Veelen, M. Palmblad,
Comparison of peptide and protein fractionation methods in proteomics. EuPA Open Proteomics
2013, 1. 30-37, DOI: http://dx.doi.org/10.1016/j.euprot.2013.09.001.
10. A. Jungbauer, C. Tauer, E. Wenisch, K. Uhl, J. Brunner, M. Purtscher, F. Steindl, A.
Buchacher, Isolation of isoproteins from monoclonal antibodies and recombinant proteins by
chromatofocusing. J Chromatogr 1990, 512. 157-63.