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Factors Affecting the Quantification of Biomolecular Interactions by Fluorescence Cross-Correlation Spectroscopy Yong Hwee Foo, Nikolaus Naredi-Rainer, Don C. Lamb, ‡§ Sohail Ahmed, { and Thorsten Wohland * Department of Chemistry, National University of Singapore, Singapore; Department of Chemistry, Center for NanoScience (CeNS) and Center for Integrated Protein Science, Munich (CIPSM), Ludwig-Maximilians-Universita ¨t Mu ¨nchen, Munich, Germany; § Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois; and { Institute of Medical Biology, Immunos, Singapore ABSTRACT Fluorescence cross-correlation spectroscopy (FCCS) is used to determine interactions and dissociation constants (K d s) of biomolecules. The determination of a K d depends on the accurate measurement of the auto- and cross-corre- lation function (ACF and CCF) amplitudes. In the case of complete binding, the ratio of the CCF/ACF amplitudes is expected to be 1. However, measurements performed on tandem fluorescent proteins (FPs), in which two different FPs are linked, yield CCF/ACF amplitude ratios of ~0.5 or less for different FCCS schemes. We use single wavelength FCCS and pulsed interleaved excitation FCCS to measure various tandem FPs constituted of different red and green FPs and determine the causes for this suboptimal ratio. The main causes for the reduced CCF/ACF amplitude ratio are differences in observation volumes for the different labels, the existence of dark FPs due to maturation problems, photobleaching, and to a lesser extent Fo ¨rster (or fluo- rescence) resonance energy transfer between the labels. We deduce the fraction of nonfluorescent proteins for EGFP, mRFP, and mCherry as well as the differences in observation volumes. We use this information to correct FCCS measurements of the interaction of Cdc42, a small Rho-GTPase, with its effector IQGAP1 in live cell measurements to obtain a label-independent value for the K d . INTRODUCTION All biomolecules are involved in some type of interaction as they perform their functions, and quantification of dissocia- tion constants (K d s) is an important tool for understanding biomolecular interactions. One method that has great poten- tial for determining dissociation constants in the nano- molar range is fluorescence cross-correlation spectroscopy (FCCS). FCCS uses a femtoliter-sized observation volume to observe the interaction of biomolecules typically labeled with different colors. In the most common modality, dual- color FCCS (DC-FCCS) excites the individual fluorescent labels using two lasers of different wavelengths and the fluo- rescence is detected in two channels (1). From the fluores- cence signals detected in the two channels, the autocorrelation functions (ACFs) and the cross-correlation function (CCF) are determined, which contain information about the amount of free and interacting molecules. FCCS possesses single-molecule sensitivity and can be conducted at concentrations in the subnanomolar to the micromolar range. The first FCCS studies in the late 1990s were con- ducted in vitro (2–5). FCCS was later applied in living cells to study a number of biological questions ranging from enzyme investigations (6,7), protein-protein interactions (8–13), and receptor dimerization or oligomerization (14,15). In general, the fraction of molecules in complexes is the parameter commonly reported in FCCS studies. This fraction is based on the ratio of the CCF amplitude to the ACF amplitude. In recent years, K d s of biomolecular interactions have been determined in several cases both in cells (9–12) and in organisms (11,16). The values of K d obtained from in vivo experiments are usually an effective dissociation constant because interac- tions in cells or organisms are not simple pure binary reac- tions but can be affected by the presence of other biomolecules through competition, inhibition, or coopera- tivity. Arguably though, this effective K d is the physiologi- cally relevant parameter in the absence of detailed knowledge of the composition and all interactions in a cell. In addition, the exact determination of a K d in FCCS depends on the accurate determination of the concentrations of the interacting molecules and thus on the measured ACF and CCF amplitudes. The ratio of the CCF/ACF amplitude can vary between 0, no binding, and 1, complete binding (assuming a 1:1 stoichiometry). Factors affecting the corre- lation amplitudes and their ratios include background fluo- rescence and cross talk. These factors have been discussed and addressed (9,11,17) but the corrections are often insuf- ficient as seen on experiments using tandem fluorescent protein (FP) constructs in which two FPs are linked by a short peptide (8,10,13). The maximally reported values for the ratio of CCF/ACF amplitudes are in the range of ~0.5. This value is far away from the expected value of 1 and is often attributed to the imperfect overlap of effective volumes due to the two lasers in DC-FCCS. In 2004, we introduced single wavelength FCCS (SW- FCCS) to overcome the difficulty of aligning two lasers to the same spot with the expectation to improve the ratio of the CCF/ACF amplitude (18–20). However, when we per- formed SW-FCCS on similar tandem FPs, we still obtained Submitted August 2, 2011, and accepted for publication January 23, 2012. *Correspondence: [email protected] Editor: Anne Kenworthy. Ó 2012 by the Biophysical Society 0006-3495/12/03/1174/10 $2.00 doi: 10.1016/j.bpj.2012.01.040 1174 Biophysical Journal Volume 102 March 2012 1174–1183
Transcript
Page 1: Factors Affecting the Quantification of Biomolecular Interactions by Fluorescence Cross-Correlation Spectroscopy

1174 Biophysical Journal Volume 102 March 2012 1174–1183

Factors Affecting the Quantification of Biomolecular Interactionsby Fluorescence Cross-Correlation Spectroscopy

Yong Hwee Foo,† Nikolaus Naredi-Rainer,‡ Don C. Lamb,‡§ Sohail Ahmed,{ and Thorsten Wohland†*†Department of Chemistry, National University of Singapore, Singapore; ‡Department of Chemistry, Center for NanoScience (CeNS)and Center for Integrated Protein Science, Munich (CIPSM), Ludwig-Maximilians-Universitat Munchen, Munich, Germany; §Department ofPhysics, University of Illinois at Urbana-Champaign, Urbana, Illinois; and {Institute of Medical Biology, Immunos, Singapore

ABSTRACT Fluorescence cross-correlation spectroscopy (FCCS) is used to determine interactions and dissociationconstants (Kds) of biomolecules. The determination of a Kd depends on the accurate measurement of the auto- and cross-corre-lation function (ACF and CCF) amplitudes. In the case of complete binding, the ratio of the CCF/ACF amplitudes is expected tobe 1. However, measurements performed on tandem fluorescent proteins (FPs), in which two different FPs are linked, yieldCCF/ACF amplitude ratios of ~0.5 or less for different FCCS schemes. We use single wavelength FCCS and pulsed interleavedexcitation FCCS to measure various tandem FPs constituted of different red and green FPs and determine the causes for thissuboptimal ratio. The main causes for the reduced CCF/ACF amplitude ratio are differences in observation volumes for thedifferent labels, the existence of dark FPs due to maturation problems, photobleaching, and to a lesser extent Forster (or fluo-rescence) resonance energy transfer between the labels. We deduce the fraction of nonfluorescent proteins for EGFP, mRFP,and mCherry as well as the differences in observation volumes. We use this information to correct FCCS measurements of theinteraction of Cdc42, a small Rho-GTPase, with its effector IQGAP1 in live cell measurements to obtain a label-independentvalue for the Kd.

INTRODUCTION

All biomolecules are involved in some type of interaction asthey perform their functions, and quantification of dissocia-tion constants (Kds) is an important tool for understandingbiomolecular interactions. One method that has great poten-tial for determining dissociation constants in the nano-molar range is fluorescence cross-correlation spectroscopy(FCCS). FCCS uses a femtoliter-sized observation volumeto observe the interaction of biomolecules typically labeledwith different colors. In the most common modality, dual-color FCCS (DC-FCCS) excites the individual fluorescentlabels using two lasers of different wavelengths and the fluo-rescence is detected in two channels (1). From the fluores-cence signals detected in the two channels, theautocorrelation functions (ACFs) and the cross-correlationfunction (CCF) are determined, which contain informationabout the amount of free and interacting molecules. FCCSpossesses single-molecule sensitivity and can be conductedat concentrations in the subnanomolar to the micromolarrange. The first FCCS studies in the late 1990s were con-ducted in vitro (2–5). FCCS was later applied in living cellsto study a number of biological questions ranging fromenzyme investigations (6,7), protein-protein interactions(8–13), and receptor dimerization or oligomerization(14,15). In general, the fraction of molecules in complexesis the parameter commonly reported in FCCS studies.This fraction is based on the ratio of the CCF amplitudeto the ACF amplitude. In recent years, Kds of biomolecular

Submitted August 2, 2011, and accepted for publication January 23, 2012.

*Correspondence: [email protected]

Editor: Anne Kenworthy.

� 2012 by the Biophysical Society

0006-3495/12/03/1174/10 $2.00

interactions have been determined in several cases both incells (9–12) and in organisms (11,16).

The values of Kd obtained from in vivo experiments areusually an effective dissociation constant because interac-tions in cells or organisms are not simple pure binary reac-tions but can be affected by the presence of otherbiomolecules through competition, inhibition, or coopera-tivity. Arguably though, this effective Kd is the physiologi-cally relevant parameter in the absence of detailedknowledge of the composition and all interactions in acell. In addition, the exact determination of a Kd in FCCSdepends on the accurate determination of the concentrationsof the interacting molecules and thus on the measured ACFand CCF amplitudes. The ratio of the CCF/ACF amplitudecan vary between 0, no binding, and 1, complete binding(assuming a 1:1 stoichiometry). Factors affecting the corre-lation amplitudes and their ratios include background fluo-rescence and cross talk. These factors have been discussedand addressed (9,11,17) but the corrections are often insuf-ficient as seen on experiments using tandem fluorescentprotein (FP) constructs in which two FPs are linked bya short peptide (8,10,13). The maximally reported valuesfor the ratio of CCF/ACF amplitudes are in the range of~0.5. This value is far away from the expected value of 1and is often attributed to the imperfect overlap of effectivevolumes due to the two lasers in DC-FCCS.

In 2004, we introduced single wavelength FCCS (SW-FCCS) to overcome the difficulty of aligning two lasers tothe same spot with the expectation to improve the ratio ofthe CCF/ACF amplitude (18–20). However, when we per-formed SW-FCCS on similar tandem FPs, we still obtained

doi: 10.1016/j.bpj.2012.01.040

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Factors Affecting FCCS Quantitation 1175

similar ratios of ~0.5 (11,12) even though a ratio of ~1 wasobserved when a single fluorophore was detected in thesame setup (11).

In this article, we measured the cross-correlation ampli-tudes of different tandem FP constructs using SW-FCCSand pulsed interleaved excitation (PIE)-FCCS. We showthat the suboptimal CCF/ACF amplitude ratios observedare due to several factors including nonfluorescent FPs(9,21), photobleaching, differences in observation volumesizes for the two channels and their overlap, and Forster(or fluorescence) resonance energy transfer (FRET). Byincorporating corrections for the alignment, we could esti-mate the fraction of fluorescent FPs to be close to 100%for enhanced green fluorescent protein (EGFP), 40% formCherry, and 22% for monomeric red fluorescent protein(mRFP). We use these results and simulations to study theinfluence of protein maturation and endogenous proteinson binding experiments to show the impact of the choiceof FPs on the experimental determination of Kds. Finally,we apply these corrections to quantify the interaction ofCdc42 and IQGAP1 in live cell measurements and deter-mine a label-independent value for the Kd. Cdc42 is a smallRho-GTPase that works downstream of membrane-boundreceptors and activates a number of signaling pathwaysinvolved in cell polarity, cell migration, and cell division(22). IQGAP is a Cdc42 effector and scaffolding proteininvolved in cytoskeletal organization (23,24). In vitrostudies of Cdc42-IQGAP1 interaction generate bindingconstants (Kds) of 24–82 nM (25,26). Experiments on theinteraction of mRFP-Cdc42 with EGFP-IQGAP1 in cellsdone previously by our group gave an apparent Kd of ~1mM (11). Using the correction factors discussed in thiswork, the Kd determined by SW-FCCS becomes consistentwith the in vitro measurements, supporting the efficacy ofthe corrections.

MATERIALS AND METHODS

Details of the samples used, experimental setups, and simulations that were

performed can be found in the Supporting Material.

THEORY

Background information regarding fluorescence correlationspectroscopy (FCS) and the ACF and CCF are given in theSupporting Material.

In short, we denote the observation volumes and diffusiontimes in the green (G), red (R), and cross-correlated (x)channels as VG, VR, and Vx, and tD,G, tD,R, and tD,x, respec-tively. The amplitudes for the autocorrelations are given bygG(0) and gR(0); the amplitudes of the cross correlation aregiven by gx(0). If the observation volumes are not concentricbut are shifted in respect to each other the cross-correlationvolume Vx is affected and the determined cross-correlationobservation volume will have an apparent size Vx,app (27).

The discussion of the size and the displacement of theobservation volumes VG, VR, Vx, and Vx,app, and the influ-ence of FRET on FCS are provided in the SupportingMaterial. Once the observation volumes have been deter-mined and corrected for artifacts, the concentrations Cg,Cr, and Cgr of the free green-labeled molecules, free red-labeled molecules, and their complex, respectively, can bedetermined.

Of particular importance in this work are the FCCSamplitude ratios. Although the amplitudes are influencedby cross talk, background, and FRET, we use the ratiosof the amplitudes in the early half of the article as anempirical observation between different sets of measure-ments. In the latter half of the article, when all the param-eters have been accounted for, the values of Ci, which area more accurate representation of the observations, willbe used. The ratio gx(0)/gG(0) refers to the CCF/green-ACF amplitude ratio. It depends on the amount of redmolecules in complex, and the ratio of nonfluorescent greenlabels in a tandem FP. The ratio gx(0)/gR(0) refers to theCCF/red-ACF amplitude ratio. It depends on the amountof green molecules in complex, and the ratio of nonfluores-cent red labels in a tandem FP. Both ratios also dependupon the overlap of the two effective volumes. The ratiogG(0)/gR(0) refers to the ratio of the amplitudes of thegreen/red ACFs. This ratio depends on the relative size ofthe two effective volumes and ratio of the amount of redto green molecules.

RESULTS AND DISCUSSIONS

Calibration of SW-FCCS observation volumeswith a single dye

The differences in observation volumes for two channelscan be investigated using a single species that fluorescesinto both channels. When the observation volumes are thesame and the background is taken into account, the sameACF and CCF amplitudes and diffusion times tD will beobserved. To illustrate this, rhodamine 6G (R6G), whichhas its emission maximum at ~560 nm, was excited bya 514 nm laser and its emission was collected between530 and 560 nm in the green channel and between 590and 645 nm in the red channel. The setup was the same asthe one used for the EGFP and mRFP/mCherry measure-ments. Fig. 1 a shows the background corrected SW-FCCS results for a 4 nM R6G measurement. The similaramplitudes indicate similar effective volumes. This is alsoverified by the similar tD values for the green ACF, redACF, and CCF (tD,G, tD,R, and tD,x), which are 40 5 1ms, 39 5 2 ms, and 40 5 2 ms, respectively.The same optical setup was used to measure the diffu-

sion of enhanced yellow fluorescent protein in the cytosolof CHO cells to check whether the volumes are affectedby the surrounding biological material (Fig. 1 b). The

Biophysical Journal 102(5) 1174–1183

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ba1.8

1.6

1.4

1.2

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(G

)

10-5 10-4 10-3 10-2 10-1

[s]

ACF from green channelACF from red channelCCF

10-5 10-4 10-3 10-2 10-1

[s]

ACF from green channelACF from red channelCCF

sllecOHCniPFYEG6RMn41.04

1.03

1.02

1.01

(G

)t t

t t

FIGURE 1 SW-FCCS experiments of a single

fluorophore cross correlated in two detection

channels, 530–560 nm and 590–645 nm, using

514 nm excitation. The experimental green ACF

(open circles), red ACF (solid squares), and CCF

(crosses) are background corrected. The lines are

the fits to the data. (a) 4 nM R6G solution at a laser

power of 15 mW. (b) Enhanced yellow fluorescence

protein (~170 nM) measured using 4 mW in CHO

cells. The correlation functions do not decay to 1

due to photobleaching of yellow fluorescence

protein during the measurement.

1176 Foo et al.

ACFs and CCF are very similar with tD,G, tD,R, and tD,x of596 5 66 ms, 586 5 131 ms, and 602 5 112 ms, respec-tively, indicating no observable differences in effectivevolumes.

Overlap of effective volumes

Tandem labels, i.e., the combination of two fluorophores in asingle molecule, should in principal yield the same SW-FCCS results as obtained from the previous experimentswith single fluorophores. Consequently, one expects thediffusion times to be the same for all correlation functionsand the ratio of the correlation amplitudes to be close toone. Contrary to the experiments on single fluorophores,gx(0)/gG(0) ~0.5 and the tDs for the tandem FPs showa trend of tD,x > tD,R > tD,G (Table 1). The differencebetween tD,G and tD,R is not unexpected because theemission maxima in the different detection channels arefurther separated than for the single fluorophore experi-ments, leading to different sizes of the effective volumesdue to the wavelength dependence of diffraction. The largertD,R corresponds to a larger VR. However, the even largertD,x indicates that the two detection volumes are not concen-tric, and contrary to Eq. S5, do not lead to a size of Vx

between that of VG and VR. Thus, we attributed the largerVx to a displacement of the two observation volumes,described by Eq. S6, resulting in an apparently larger tD,x(27). Because the apparent Vx (Vx,app) is larger than VG

or VR, the measured gx(0) is therefore lower than gG(0)and gR(0).

TABLE 1 Measurements of different tandem FPs

Constructs gx(0)/gG(0) gx(0)/gR(0)

mRFP-7-GFPRN3 0.41 5 0.03 0.29 5 0.04

mRFP-7-EGFP 0.51 5 0.03 0.27 5 0.04

mCherry-7-EGFP 0.51 5 0.03 0.36 5 0.07

mCherry-14-EGFP 0.53 5 0.03 0.35 5 0.06

mCherry-14-GFPRN3 0.43 5 0.03 0.36 5 0.05

EGFP-10-mCherry 0.49 5 0.03 0.32 5 0.03

Refer to the Supporting Material for more information on the constructs.

Biophysical Journal 102(5) 1174–1183

The value of gx(0)/gG(0) ~0.5 is similar to what was re-ported in DC-FCCS by different groups using similartandem FPs (EGFP linked to mRFP or mCherry)(6,8,10,13). It is usually assumed that there is imperfectoverlap of effective volumes due to the use of two differentlasers. However, our previous results using tandem FPsmRFP-7-GFPRN3 (12) and mRFP-7-EGFP (11), where thenumber 7 in between the FPs refers to a linker of sevenamino acids (refer to the Supporting Material for details),and our current results using SW-FCCS also give a gx(0)/gG(0) ratio much smaller than 1. This implies thatmisalignment of emission volumes is sufficient to decreasethe overlap volumes and does not depend only on the over-lap of two excitation lasers. We also observed the sameresults (unpublished data) on a commercially availablesetup, a LSM 710 ConfoCor 3 (Carl Zeiss, Jena, Germany).Therefore, the problem of effective volume misalignment isan inherent difficulty of the optical components currentlyavailable and the high sensitivity of FCCS to the overlapof the two volumes. Experimental results are usually cor-rected by normalization or by the use of correction factors(10,13). Here, we decided to use Vx,app, which can be deter-mined from calibration measurements as shown later, asa way to explain the CCF and to adjust for the concen-trations calculated in the experimental result (latersections). However, misalignment of the effective volumesis not the only cause for the low amplitude ratios. Accord-ing to the trend in the tDs, VR is expected to be larger thanVG. Hence, more red molecules than green should beobserved (i.e., gG(0)/gR(0) > 1). This is not the case and

gG(0)/gR(0) tD,R/tD,G tD,x/tD,G

0.64 5 0.09 1.16 5 0.21 1.48 5 0.27

0.50 5 0.08 1.17 5 0.13 1.33 5 0.12

0.72 5 0.14 1.25 5 0.22 1.42 5 0.22

0.67 5 0.13 1.30 5 0.22 1.34 5 0.14

0.87 5 0.19 1.37 5 0.20 1.46 5 0.13

0.67 5 0.08 1.28 5 0.15 1.35 5 0.10

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Factors Affecting FCCS Quantitation 1177

consequently other effects must contribute to the low am-plitude ratios.

Influence of FPs on the auto- and cross-correlation amplitudes

Interestingly, the constructs gave different values of gx(0)/gG(0). mRFP-7-GFPRN3 gave a gx(0)/gG(0) of 0.41 50.03, whereas mRFP-7-EGFP gave 0.51 5 0.03 (Fig. S1,a and b). Because gx(0)/gG(0) is an estimate of the fractionof red molecules in the complex, this implies that only~50% of the GFPs in both tandem FPs were detected. Onthe other hand, the ratio of gx(0)/gR(0) yields the fractionof green molecules in complexes and thereby the fractionof red FPs (RFPs) detected in the tandem FPs. mRFP-7-GFPRN3 and mRFP-7-EGFP gave gx(0)/gR(0) of 0.29 50.04 and 0.27 5 0.04, respectively, showing similar valuesthat are independent of which GFP construct was used.

To check the contribution from nonfluorescent GFPs (dueto photobleaching, dark states, or maturation issues) on theless than ideal gx(0)/gG(0), we measured the brightness ofmonomeric and dimeric GFP by FCS (Supporting Material).A dimer’s brightness, in counts per second (cps), will betwice that of the monomer if all the GFPs are fluorescent.Any value <2 suggests the presence of nonfluorescent ordifferent brightness states of the GFPs. Previous reportedmeasurements for EGFP yielded values for the dimer bright-ness ranging from ~1.6 to 2 times that of the monomer(10,13,28,29). Fig. 2, a and b, show the ratio of dimer cps(solid bars) against the monomer cps (open bars) forGFPRN3 and EGFP. The data are normalized to the averagevalue of the corresponding monomer cps. Based on thehistogram, the GFPRN3 dimer exhibits at least two differentcps values, one of ~1.6 times that of the monomer, the otheraround 2.6 times the monomer. The values could be ex-plained by the existence of multiple states of GFPRN3 ora dark and fluorescent state in the case of the lower valueand possible aggregation for the higher value. In contrast,the histogram for EGFP shows that on average, most mole-cules are fluorescent with a dimer cps of twice that of themonomer. At least for the mRFP-7-EGFP, the gx(0)/gG(0)of ~0.5 is not caused by the photophysical property of

30

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3.53.02.52.01.51.00.5

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of r

eadi

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of r

eadi

ngs

Normalized cps

GFP RN3 monomer and dimer EGFP monoma b

EGFP. As for mRFP-7-GFPRN3, either multiple brightnessstates or a dark and bright state would result in a lowerthan expected gx(0)/gG(0) as observed.

To further investigate the influence of the FPs used for theexperiments, we created tandem constructs with mCherry.mCherry is known to be more stable and to mature morequickly than mRFP (30). Two constructs, namelymCherry-7-EGFP and mCherry-14-EGFP were measured.Despite the different linker lengths, both gave a similar ratiogx(0)/gR(0) of ~0.36 (Table 1). Comparing the results tomRFP-7-EGFP, gx(0)/gR(0) increased from ~0.28, whereasgx(0)/gG(0) remained constant at ~0.52. We then replacedEGFP in the mCherry-14-EGFP construct with GFPRN3.As expected, the resulting mCherry-14-GFPRN3 constructhad a lower gx(0)/gG(0) of 0.43, whereas the gx(0)/gR(0)remained unchanged. We also verified that the amplituderatios of gx(0)/gG(0) and gx(0)/gR(0) were independent ofthe positions of the FPs in the tandem (Table 1). It is note-worthy to stress that the amplitude ratios are characteristicfor the type of FP, independent of the partner used. There-fore, the choice of FP used in any FCCS experiments iscrucial, not only with respect to the signal/noise ratio ofthe measurements but also on the maximum cross-correla-tion amplitudes achievable. Once a choice has been made,corrections for FP characteristics can be made and quantita-tive values independent of the label can be calculated as wewill show later.

The previous results clearly show that not all FP proteinsare fluorescent. There are several reasons for the existenceof nonfluorescent FPs, including problems with formationof the chromophore (maturation), dark states, and photo-bleaching. To investigate the effect of photobleaching onthe correlation amplitudes, we performed consecutiveFCCS experiments in live cells with 20 mWexcitation power(Fig. S2 a). A significant amount of photobleaching wasobserved for mCherry, whereas little change was observedfor EGFP. Photobleaching of mCherry results in a higherthan expected gR(0) and a reduction of gG(0)/gR(0) andgx(0)/gR(0). In addition to photobleaching, FPs can alsoexist in dim states, which are fluorescent but have a lowerbrightness. Previous studies on mRFP suggest that only40% of mRFP are in a fluorescent state (21). This fraction

3.53.02.50to monomer

er and dimer

FIGURE 2 Histograms of determined bright-

nesses (cps) for (a) GFPRN3 monomer (open

bars) and dimer (solid bars); (b) EGFP monomer

(open bars) with dimer (solid bars). Data are

normalized to the average value of the correspond-

ing monomer’s brightness.

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1178 Foo et al.

of undetected mRFP is also indirectly shown by anotherreport by comparing two different constructs: EGFP-mRFP and EGFP-mRFP-mRFP (6). The gG(0)/gR(0) forthe EGFP-mRFP-mRFP is lower than that of EGFP-mRFP, suggesting that a fraction of mRFP were notdetected. Of course, care should be taken in extracting quan-titative conclusions from these experiments as a properanalysis must account for the presence of multiple specieswith different brightnesses (31). Using a cycloheximide(CHX) chase experiment, it was reported that ~50% of themCherry are mature in yeast cells (9).

To investigate how maturation affected the amplitudes,we performed CHX chase experiments in CHO cells ex-pressing mCherry-14-EGFP. Cells transfected withmCherry-14-EGFP were treated with CHX for 2 h beforethe measurement to inhibit protein expression, giving theFPs 2 h to mature before the experiment. The gx(0)/gR(0)is found to increase from 0.35 5 0.06 to 0.49 5 0.10 aftertreatment (Fig. 3 a and Fig. S2 b). Concurrently, the gG(0)/gR(0) increased from 0.67 5 0.13 to 0.97 5 0.19. Theseresults suggest that a fraction of mCherry has not matured.The exact fraction will be calculated in the next section aftervarious corrections have been discussed. On the other hand,gx(0)/gG(0) remains relatively constant at 0.51 5 0.03 indi-cating that most of the EGFPs are already fluorescent,consistent with the experiments using GFP dimers.

To minimize artifacts due to maturation and photobleach-ing, we performed FCCS experiments after CHX treatmentusing lower laser powers, which was reduced from 20 to 2mW. To obtain a reasonable correlation curve, the acquisi-tion time had to be extended from 30 to 90 s. To furtherreduce photobleaching, a halogen light source was used tolocate cells without the aid of fluorescence excitation.Hence, it was only after the measurement began that oneknew whether the cell had been successfully transfectedwith the fluorescent construct. Using this blind searchapproach along with low excitation powers, the gG(0)/gR(0) and gx(0)/gR(0) ratios increased to 1.15 5 0.03 and

3.0

2.5

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(G

de

zila

mro

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[s]

CHX 2ha

3.0

2.5

2.0

1.5

1.010-5 10-4 10

Gd

ezil

amr

oN

()

[s]

CHX with “Blb

Red ACF after CHXCCF without CHXCCF after CHX

Red ACF without CHX

t t

tt

diamonds) show the measurements of mCherry-14-EGFP after CHX treatment

at 2 mW. The red ACF (open triangles) and CCF (crosses) show the measurement

of mRFP is also observed to be slower compared to the data presented in Fig. 3 a

which is consistent with what has been observed previously (47).

Biophysical Journal 102(5) 1174–1183

0.65 5 0.11 respectively (Fig. 3 b). The value of gG(0)/gR(0) > 1 for the blind selection measurement confirmsa larger VR than VG, as suggested from the diffusion times.Although blind search might be time consuming whenapplied manually, it would be easy to implement in anautomated instrument, and considerably reduces effectsof photobleaching. Once the gG(0)/gR(0), gx(0)/gG(0), andgx(0)/gR(0) ratios are known, they can be used to correctfor further data analysis under similar measurementconditions.

Influence of FRET on the correlation amplitudes

Another factor that can influence the ACF and CCF ampli-tudes in FCCS experiments when using FP tandems is FRETbetween the FPs (32). Under measurement conditions whenphotobleaching is present or not all fluorescent constructshave matured, two populations exist. One complex thatexhibits FRETand one that does not, due to the nonphotoac-tive acceptor. For our mCherry-14-EGFP construct, twomolecular brightnesses will be observed for EGFP andmCherry, one for the constructs that do not undergo FRETand a second for those that do. To see how FRET reducesgx(0)/gG(0), we performed PIE-FCCS on mCherry-14-EGFP in CHO cells. We have shown that FRET can be cor-rected in PIE-FCCS experiments by adding the increasedamount of photons given out by the acceptor due to FRETback to the donor channel to correct for the donor photonslost by FRET. The ACF and CCF amplitudes can then becalculated under non-FRET conditions (33). Fig. 4 a showsthe PIE-FCCS measurement of mCherry-14-EGFP in CHOcells. gx(0) increases after FRET correction, whereas gG(0)does not change as much as gx(0). The gx(0)/gG(0) ratio,which is influenced by FRET, is 0.51 5 0.07 with a tradi-tional FCCS analysis, whereas the ratio increased by 0.08to 0.59 5 0.04 after correcting for FRET. The same trendis observed for mCherry-7-EGFP in cell lysate (Fig. 4 b)with an increase of gx(0)/gG(0) from 0.55 5 0.07 to

-3 10-2 10-1

ind” selection

Red ACF after CHXCCF without CHXCCF after CHX

Red ACF without CHX

FIGURE 3 SW-FCCS measurements with

mCherry-14-EGFP in CHO cells normalized to

the green ACF (not shown here). Symbols are

the experimental data while the lines are the

fits to the data. (a) SW-FCCS measurements of

mCherry-14-EGFP at 20 mW using 514 nm laser

excitation after 2 h of CHX treatment compared

with untreated cells. The red ACF (open triangles)

and CCF (crosses) before adding CHX, and the red

ACF (solid squares) and CCF (open diamonds)

after 2 h of CHX treatment are shown here.

The GR(0)s in the absence of mCherry’s photo-

dynamics are shown from the extrapolated lines

from the main body of the red ACFs (dashed lines).

(b) The red ACF (solid squares) and CCF (open

and with ‘‘blind’’ selection (i.e. without the aid of fluorescence excitation)

without ‘‘blind’’ selection or CHX treatment. In Fig. 3 b, the photodynamics

due to the lower excitation power used in the experiment (2 mW vs. 20 mW),

Page 6: Factors Affecting the Quantification of Biomolecular Interactions by Fluorescence Cross-Correlation Spectroscopy

1.10

1.08

1.06

1.04

1.02

1.00

(G

)

10-4 10-3 10-2 10-1

[s]

1.010

1.008

1.006

1.004

1.002

1.000

(G

)

10-4 10-3 10-2 10-1

[s]

Green ACF with FRET

Red ACFCCF with FRETCCF without FRET

Green ACF without FRET

etasyllleCsllecOHC baGreen ACF with FRET

Red ACFCCF with FRETCCF without FRET

Green ACF without FRET

t t

t t

FIGURE 4 PIE-FCCS experiments in the pres-

ence of FRET are represented by open circles

(green ACF), solid squares (red ACF), and crosses

(CCF). PIE-FCCS experiments after correcting for

FRET are represented by solid triangles (green

ACF) and open diamonds (CCF). The lines are

the experimental data. (a) mCherry-14-EGFP in

live CHO cells and (b) mCherry-7-EGFP in cell

lysate are shown. The influence of FRET is observ-

able in both experiments.

Factors Affecting FCCS Quantitation 1179

0.65 5 0.07. The higher value of gG(0)/gR(0) of 0.94 50.17 compared to 0.785 0.15 in cells is due to the reductionof bulk photobleaching and the longer time available formaturation of mCherry in the cell lysate.

Thus, gx(0)/gG(0) depends not only on the effectivevolume overlap and the fluorescent state of the FPs, but isalso dependent on FRET. In SW-FCCS, we correct forFRET using the qi parameter. Details can be found in thenext section and the Supporting Material.

Determination of effective observation volumesand correction parameters

With a detailed understanding of how background, crosstalk, differences in the effective volumes, FP maturation,photobleaching, and FRET affect the ACF and CCF ampli-tudes in FCCS experiments, we can correct our FCCSmeasurements to investigate molecular interactions. A tablewith a detailed description of the various steps is given in theSupporting Material. Vg was determined to be 0.54 fL usingAtto488 to calibrate the green observation volume (Support-ing Material). For VR, we have no red fluorophore that canbe excited at 514 nm with emission maximum similar tomRFP/mCherry with a known diffusion coefficient. Hence,we made use of the differences of the diffusion times tD,Rand tD,G measured on the tandem FPs in the different detec-tion channels. The average tD,R/tD,G value for the mRFP/mCherry-EGFP tandems was found to be 1.24, which trans-lates into VR/VG of 1.4 (tD is proportional to u0

2, whereas Vis proportional to u0

3). This means that 1.4 times more redmolecules will be detected compared to the green. VR istherefore 0.76 fL.

Due to the probability of having nonfluorescent labels inthe FP tandem constructs, Cg, Cr, and Cgr in Eqs. S8–S10 arenow replaced by Cg,app, Cr,app, and Cgr,app (Eqs. S12–S14),which are the apparent concentrations of the green onlymolecules, red only molecules, and complexes:

Cgr;app ¼ pg pr Cgr; (1)

Cg;app ¼ pgð1� prÞCgr; (2)

Cr;app ¼ �1� pg

�pr Cgr; (3)

where pi is the probability of the green or red label beingfluorescent. The expression of Cg,app refers to the amountof tandem with only the green label fluorescent, whereasCr,app refers to the amount of tandem with only the red labelfluorescent. From the EGFP dimer study and CHX treat-ment, pg was estimated to be ~1. Thus, Cr,app ¼ 0 andonly pr needs to be determined. By solving Eqs. S12 andS13, the values of Cgr and pr could be obtained (SupportingMaterial).

The average values of pr for the mRFP-EGFP andmCherry-EGFP tandems were calculated to be 0.22 50.06 and 0.40 5 0.11, respectively. mCherry-14-EGFPtreated with CHX (2 h) and treated with CHX (2 h) plusblind selection with low laser power yielded a higher valuepr of 0.615 0.15 and 0.805 0.02, respectively. This showsthat up to 80% of the mCherry can be fluorescent. Thisvalue, however, is highly dependent on photobleachingand maturation. Under normal measurement conditions,only 40% of the mCherry are detected. This value is similarto the value of 50% maturated mCherry constructs measuredin yeast cells (9). Because pr is now known, Eq. S14(substituted with the apparent concentrations, Eqs. 1–3)can be solved to obtain Vx,app. This gives on average a valueof Vx,app ¼ 0.93 5 0.05 fL for the mRFP/mCherry-EGFPtandems. This value is close to the value of 0.92 fL predictedby theoretical considerations as discussed in the SupportingMaterial (Fig. S3).

Simulating the influence of nonfluorescent labelsor endogenous proteins on binding experiments

We have performed simulations for nonfluorescent proteinsby assuming a certain probability pg and pr of the greenand red FPs to be fluorescent (Fig. 5). For endogenousproteins we have taken account of endogenous, andthus unlabeled, protein of the green (EG)- or red (ER)-labeled species (Fig. 6). Details of the simulations aregiven in the Supporting Material. We will refer to the Kd

values influenced by these two factors as apparent Kd

Biophysical Journal 102(5) 1174–1183

Page 7: Factors Affecting the Quantification of Biomolecular Interactions by Fluorescence Cross-Correlation Spectroscopy

a

b

FIGURE 5 Binding studies in the presence of nonfluorescent fusion

proteins. (a) A graphical representation of Eqs. S15–S17 where nonfluores-

cent labels influence the Kd,app. G and R represent the green- and red-

labeled molecules, respectively. (b) Simulations of Kd ¼ 24 nM at pg and

pr ¼ 1 (open circles); pg ¼ 1 and pr ¼ 0.4 (open squares); pg ¼ 1 and

pr ¼ 0.2 (crosses), and pg ¼ 0.4 and pr ¼ 0.4 (open triangles). This was

simulated for 20 nM to 3 mM of green and red molecules and restricting

the ratio of red/green molecules at 0.7 to 1.5 (refer to Supporting Material).

The long dashed lines represent the border of the pg ¼ 1 and pr ¼ 0.4 simu-

lation whereas the short dashed lines represent the border of the pg ¼ 1 and

pr ¼ 0.2 simulation.

a

b

FIGURE 6 Binding studies in the presence of endogenous protein. (a) A

graphical representation of Eqs. S21–S23 describing the interactions of

labeled and endogenous proteins. G and R represent the green- and red-

labeled molecules, respectively. EG and ER represent the endogenous

proteins of the green- and red-labeled molecules, respectively. (b) Kd,app

simulations (using a Kd of 24 nM) in the presence of different amounts

of endogenous proteins, namely no endogenous proteins (open circles),

10–100 nM (open squares), 100–500 nM (crosses), and 500–1000 nM

(open triangles). The amount of labeled protein was varied from 20 nM

to 3 mM and the ratio of red/green molecules was restricted to be between

0.7 and 1.5 (refer to Supporting Material). The long dashed lines represent

the border of the 10–100 nM simulation whereas the short dashed lines

represent the border of the 100–500 nM simulation.

1180 Foo et al.

values (Kd,app). Interestingly, the two effects have a dif-ferent influence on the Kd,app plots and can thus be distin-guished. While endogenous proteins lead to a concaveKd,app plot, nonfluorescent proteins lead to a convex Kd,app

plot.

Experimental determination of Kd for Cdc42and IQGAP1

On the basis of previous measurements performed withmRFP-Ccd42 and EGFP-IQGAP1 in CHO cells (11), wegenerated an mCherry-Cdc42 construct to study its interac-tion with EGFP-IQGAP1. The aim was to investigate theeffect of the fluorophore on the determined value of Kd,app

and see whether we can determine a FP independent valueby applying the appropriate correction factors. Cells trans-fected with mRFP-Cdc42 and EGFP-IQGAP1 were always

Biophysical Journal 102(5) 1174–1183

used as a control measurement and were performed on thesame day. Eqs. S12–S14 were used to obtain the apparentconcentrations.

In our previous study, mRFP-Ccd42 and EGFP-IQGAP1gave a Kd,app of ~1000 nM (11). Here, the Kd,app obtained byaveraging all the data points for the mRFP-Cdc42 withEGFP-IQGAP1 and mCherry-Cdc42 with EGFP-IQGAP1after accounting for the differences in the volumes (usingVG, VR, and Vx,app), but not yet corrected for pr are 382 5136 nM and 233 5 92 nM, respectively (Fig. 7 a). Thestraight lines are linear fits to serve as a guide to distinguishthe differences between the plots. For the mRFP/EGFP pair,the plot of Cg,app � Cr,app against Cgr,app has a slight convexshape, suggesting a significant population of nonfluorescentFPs as predicted. Correcting for the differences in pr

Page 8: Factors Affecting the Quantification of Biomolecular Interactions by Fluorescence Cross-Correlation Spectroscopy

a

b

FIGURE 7 Experimental Kd,app plots generated by SW-FCCS. The linear

fits (dashed lines) serve as a guide to the eye. (a) Measurements of mRFP-

Cdc42 þ EGFP-IQGAP1 (solid circles) and; measurements of mCherry-

Cdc42 þ EGFP-IQGAP1 (crosses). Their average Kd,app are 382 5

136 nM and 2335 92 nM, respectively. (b) Twice the amount of unlabeled

Cdc42 compared to labeled Cdc42 was transfected together with mCherry-

Cdc42 þ EGFP-IQGAP1 (solid circles). This was compared with the

measurement done in cells with only mCherry-Cdc42 þ EGFP-IQGAP1

(crosses). The average Kd,app determined in the presence of the unlabeled

competitor is 446 5 152 nM.

Factors Affecting FCCS Quantitation 1181

(Eqs. S15–S17) yields a similar corrected Kd (Cg � Cr/Cgr)of 200–270 nM (pr from 0.2 to 0.4) and 170–220 nM(pr from 0.6 to 0.8) for mRFP and mCherry, respectively.Here, we give a range of pr values because we do not expectpr to be exactly the same for the tandem and Cdc42 as sug-gested by the different photobleaching behavior observedbetween the tandem and the Cdc42-IQGAP1 experiment(data not shown). In fact, when the values of pr obtainedfrom the tandem FPs (for both mRFP and mCherry) areplaced into Eqs. S15–S17 in an attempt to determine theactual concentrations independent of the nonfluorescentlabels, we observed that 15–30% of the measurements re-turn negative values for Cg, which indicates that the valuefor pr is too low.

In summary, the results with mRFP give a higher Kd,app

compared to the experiment with mCherry implying thatthe choice of label for the quantitation of Kd,app is crucial.A slight convex Kd,app plot was also observed supportingthe predicted simulations in the previous section. The rangeof experimental Kd,app for both the mRFP and mCherrystudies, after including an estimate of pr, overlap in their

values and differ on average by a factor 1.2. These measure-ments clearly show that the inclusion of the dark states ofFPs over a simple probability factor is sufficient to obtainquantitative Kd,app values that are not influenced by the fluo-rescent label. A more detailed knowledge of the possiblemultiple brightness states of the red FPs would be expectedto improve the correction, but in the absence of moredetailed information, FCCS can still yield Kd values, whichare for all practical purposes identical for the differentlabels. Of importance, the Kd values determined for theCdc42 and IQGAP1 interactions are now closer to previousmeasurements in vitro (24–82 nM) (25,26), although iden-tical values are not necessarily expected due to the differentenvironments and potential competitors present in the in vivoexperiments.

Experimental Kd with endogenous proteins

The concentration of endogenous proteins in the cell is diffi-cult to determine. It has been shown that the amount ofendogenous concentration of IQGAP1 and Cdc42 in CHOcells are very low (34,35). To investigate how unlabeledcompetitor protein influences the Kd,app, we transfected cellswith unlabeled Cdc42 in addition to mCherry-Cdc42 andEGFP-IQGAP1. The amount of unlabeled Cdc42 plasmidused was twice that of the mCherry-Cdc42 construct.Fig. 7 b shows the Kd,app plot. The Kd,app is 446 5152 nM compared to the 233 5 92 nM without unlabeledCdc42, showing the expected decrease of the Kd,app in thepresence of an unlabeled competitor. Assuming that theendogenous protein levels are low and that the expressedunlabeled Cdc42 is twice the amount of mCherry-Cdc42,the corrected Kd,app without the influence of the unlabeledcompetitor can be calculated from the measurements (Eqs.S21–S23) and results in 258 5 166 nM, close to the Kd,app

determined in the experiments without the co-injection ofunlabeled Cdc42 plasmids. When the amount of endoge-nous protein is significant and accurate results are necessary,one can try to create knockdowns or knockouts to reducethe problem of endogenous proteins affecting the qualityof the Kd.

CONCLUSION

This work was motivated by the commonly reporteddiscrepancies of the theoretical and experimental valuesof auto- and cross-correlation amplitude ratios, gx(0)/gG(0), observed in FCCS measurements. Using SW-FCCS, we demonstrated that the reduced amplitude ratiois the result of at least four effects. First, the observationvolumes for FPs of different emission wavelengths havedifferent volumes and can be displaced due to chromaticaberrations. It should be noted that this is not due toa misalignment of excitation lasers, because SW-FCCSuses only one laser for excitation, but is caused by the

Biophysical Journal 102(5) 1174–1183

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1182 Foo et al.

misalignment and limited overlap of the emission volumesof the labels caused by chromatic aberrations. Second,nonfluorescent proteins limit the amount of detectableinteractions. Nonfluorescent proteins include nonmaturedproteins, proteins residing in dark states, and photo-bleached fluorophores. Even the search for suitable cellsby laser scanning in a confocal microscope or repetitionof FCCS measurements in the same cell can induce signif-icant photobleaching, reducing the strength of the detectedinteraction. Third, FRET between the labels has to beconsidered and can change the amplitudes of auto andcross correlations. Finally, endogenous proteins competein biomolecular interactions and can shift apparent equi-libria to higher Kd values. Addressing and correcting forthese different factors will allow a better understandingand a more accurate determination of interactions usingFCCS.

We used a combination of in vitro and live cell experi-ments as well as simulations to determine the size and effec-tive overlap of the observation volumes, measured theamount of nonmatured and bleached FPs, and accountedfor the influence of FRET on FCCS experiments. In partic-ular, we have shown that the effects of nonfluorescent andendogenous proteins could be distinguished by the shapeof the Kd,app plots, whereas the effect of FRET can be deter-mined by PIE-FCCS. Using these correction factors, weinvestigated the interaction between Cdc42 and IQGAP1in live cells and determined a label-independent Kd. Thecorrected Kd ¼ ~200 nM is approximately a factor 3 lowerthan the uncorrected value and is in better agreement withprevious measurements in vitro.

In conclusion, FCCS has the potential to quantitativelydetermine dissociation constants in cells and organisms.However, the accuracy of the determination is influencedby a number of factors including size and overlap of theemission volumes for the different fluorophores, photophy-sics of the fluorescent labels, and the presence of endoge-nous proteins. Addressing these factors will lead to a moreaccurate determination of interactions using FCCS.

SUPPORTING MATERIAL

Materials and methods, theory and data analysis, results and discussions,

four figures, two tables, and references (36–46) are available at http://

www.biophysj.org/biophysj/supplemental/S0006-3495(12)00155-5.

The authors thank the Institute of Molecular and Cell Biology (Singapore)

for the DNA sequencing facility and Prof. Kozo Kaibuchi for the EGFP-IQ-

GAP1 construct.

Y.H.F. is the recipient of a PhD scholarship from the National University of

Singapore; T.W. gratefully acknowledges funding by the Biomedical

Research Council Singapore (BMRC 07/1/21/19/488 – R-143-000-351-

305). D.C.L. gratefully acknowledges the financial support of the Nanosys-

tems Initiative Munich (NIM), the Deutsche Forschungsgemeinschaft

through the SFB 646 and the Ludwig-Maximilian-University, Munich

(LMUinnovativ BioImaging Network).

Biophysical Journal 102(5) 1174–1183

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