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UNIVERSITY of OULU OULUN YLIOPISTO Pro gradu Isolation and Characterization of Extracellular Vesicles (EVs) from Renal Carcinoma Cells Khem Raj Giri University of Oulu Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu 2016
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UNIVERSITY of OULU

OULUN YLIOPISTO

Pro gradu

Isolation and Characterization of Extracellular

Vesicles (EVs) from Renal Carcinoma Cells

Khem Raj Giri

University of Oulu

Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu

2016

This work was performed at the Department of Biochemistry, University of Oulu, Biocenter

Oulu.

Oulu, Finland.

Supervisor:

Professor Seppo Vainio

Co-supervisor:

Dr. Anatoliy Samoylenko

Contents

Acknowledgements

Abbreviations

1 REVIEW OF THE LITERATURE 1

1.1 Introduction 1

1.2 Extracellular vesicles 2

1.2.1 Apoptotic bodies 5

1.2.2 Microvesicles 5

1.2.3 Exosomes 6

1.3 Exosomes in cancer 7

1.4 Hypoxia and exosomes 8

1.5 Importance of EVs in cancer 10

1.5.1 As biomarkers 10

1.5.2 As therapeutic agents 12

2. AIM OF THE PROJECT 14

3. MATERIALS AND METHODS 15

3.1 Cell culture 15

3.2 Exosome isolation 15

3.3 Exosome labeling 17

3.4 SDS-PAGE 17

3.5 Western blot 18

3.6 Cell migration assay 19

3.7 Cell proliferation assay 19

3.8 Mass spectrometry 20

3.9 Immunohistochemistry 20

3.10 RNA extraction 21

3.11 Electron microscopy 22

3.12 Injection of chicken embryos: ex ovo culture 23

4. RESULTS 24

4.1 Characterization of EVs 24

4.1.1 Electron microscope analysis 24

4.1.2 Western Blot 25

4.1.3 Nanoparticle tracking analysis (NTA) 26

4.2 Effects of exosomes 28

4.2.1 Exosome labeling 28

4.2.2 Cell proliferation and motility assay 29

4.2.3 Injection of chicken embryos 30

4.3 Protein analysis by mass spectrometry 31

4.4 RNA analysis 33

5. DISCUSSIONS 34

6. CONCLUSIONS 37

7. REFERENCES 38

Acknowledgements

I would like to thank Department of Biochemistry, University of Oulu, Biocenter Oulu, Oulu,

Finland for providing me opportunity to carry out this pro-gradu work. My heartily gratitude goes

to Professor Seppo Vainio for his excellent supervision and continuous support throughout my

work. I am very thankful to my co-supervisor Dr. Anatoliy Samoylenko for his supervision

during my work. His inspiration and guidance were much valuable without which this work

would be incomplete.

I am grateful to my lab technicians Paula Haipus, Hannele Harkman and Johanna Kekolahti-Liias

for technical supports, Dr. Ilya Skovorodkin for his help during in-vivo chicken work. Dr. Timo

Pikkarainen being helpful during the lab works. I am also grateful to my office colleagues

Prateek Singh and Dr. Genevieve Bart for their support throughout my working period.

I am also thankful to Professor Lloyd Ruddock, coordinator of international master´s programme

for the opportunity to be a part of this excellent programme. His help during initial days of the

course is very appreciable.

I would also like to remember my friends Chandan, Siva, Zenglai, Bikram and Histoni for being

there when I needed break from my work. Thank you guys!

Last but not the least, my sincerest appreciation goes to my family for their continuous

encouragement and inspiration throughout my whole life.

Abbreviations

RCC Renal cell carcinoma

DC Dendritic cell

EVs Extracellular Vesicles

MSCs Mesenchymal stromal cells

ABs Apoptotic bodies

PS Phosphatidylserine

PBS Phosphate Buffered Saline

MVs Microvesicles

MVBs Multivesicular bodies

HSP Heat shock protein

MHC Major Histocompatibility

HIF Hypoxia inducible factor

MM Metanephric mesenchyme

YFP Yellow fluorescent protein

WT Wild type

DMEM Dulbecco’s Modified Eagle medium

DMSO Dimethyl sulfoxide

HM Homogenization medium

WB working buffer

SDS Sodium dodecyl sulfate

BSA Bovine serum albumin

TEM Transmission electron microscopy

NTA Nanoparticle tracking analysis

LCMS Liquid chromatography mass spectrometry

Rpm Revolutions per minute

1

1. LITERATURE SECTION

1.1 Introduction

Kidney cancer is one of the major types of cancer among people, being 7th

most common

cancer among men and 11th

among women. This accounts for around 3% among all cancers

occurring in Europe alone. In 2012, around 115,000 new cases were reported and more than

49,000 deaths were recorded in 40 European countries because of kidney cancer (Steliarova-

Foucher et al. 2014). The mortality rate due to this cancer is higher in Europe and North

America in comparison to Asia and South America. Kidney cancer includes multiple tumors

that originate in kidney, renal pelvis as well as ureter and other urinary organs (Marcos-

Gragera et al. 2015).

Renal cell carcinoma (RCC) is the most common renal tumor, accounting more than 90%

renal malignancies (National Comprehensive Cancer Network 2009). The major factor that is

responsible for increasing malignancy rate is lifestyle. Major etiological factors include sex,

race, age, smoking habit and obesity or overweight. Beside this, genetic factors, nutritional

factors and occupations are also involved. Thus RCC still remains a major challenge for the

researchers and effective therapeutics able to inhibit growth and propagation of tumor is an

urgent need.

Exosomes are the membrane vesicles between size 30-100 nm (Raposo et al. 1996). They are

formed by inward budding from multivesicular endosomes fused with plasma membrane.

Exosomes are secreted by different cells including RBC, B and T lymphocytes, platelets and

dendritic cells (DCs) (Denzer et al. 2000). Exosomes has been purified from different body

fluids such as blood, saliva, urine, serum and nasal secretion.

Role of exosome in kidney cancer is not fully understood yet and is currently deriving much

interest among researchers. The purpose of our study was to find the general effect of kidney

cancer derived exosomes in tumorigenesis. The work includes characterization of these

2

exosomes using different techniques, study of effects of these exosomes in tumor formation,

cell proliferation and cell motility. The study also includes identification of cargo proteins

and miRNAs from exosomes.

1.2 Extracellular vesicles

Extracellular Vesicles (EVs) are nano sized vesicles secreted by various cell types including

B and T lymphocytes, mast cells, platelets, dendritic cells and mesenchymal stromal cells

(MSCs) derived from different tissues, and can be isolated from cell culture supernatant and

different biological fluids like urine, blood, semen, amniotic fluid etc. Wide variety of

organisms ranging from simple prokaryotes to higher eukaryotes releases EVs. EVs can be

categorized as exosomes, microvesicles and apoptotic bodies on the basis of size,

morphology, origin and the way they are released in the microenvironment (fig.1) (Nawaz et

al. 2014). Exosomes originate from multivesicular bodies, microvesicles are derived from the

plasma membrane and apoptotic bodies are produced from cells undergoing apoptosis.

3

Figure 1: Types of extracellular vesicles (EVs) secreted by cell. Exosomes, microvesicles

and apoptotic bodies are the three types of extracellular vesicles secreted by a cell and

released in extracellular space. (Kalra et al. 2016)

EVs were first observed as procoagulant platelet-derived particles in 1946 by Chargaff and

West (Chargaff & West 1946), and in 1967 Wolf referred these particles as “platelet dust”

(Wolf 1967). Thus for a long time these vesicles were considered as a waste product of cells.

However, studies were being done and new findings were coming out. In 2006-2007 most

exciting finding came into light that EVs contain RNA including microRNA and can serve as

mediators of cell to cell communication (Valadi et al. 2007). Since then much interests have

been attracted in this field and new results are coming out every day.

4

The various EVs from body fluids and cell culture can be isolated and characterized by using

different protocols. The presence of membrane fragments and all types of vesicles in the

starting material can lead to the contamination during specific EVs purification. Therefore,

standardization of protocol for effective purification and analysis of EVs is a major challenge

at the moment. The problem also arises due to similar or overlapping characteristics among

various vesicles and lack of proper biomarkers that can discriminate these vesicles in an

effective way (Gould & Raposo 2013).

The major components of EVs include mRNAs, miRNAs, DNA, proteins and lipids. EVs

have abilities to transfer these materials to the neighboring cells, thus introducing changes in

their phenotype along with the microenvironment (Camussi et al. 2011). So this has been

recognized as new effective means of cell to cell communication in both prokaryotic and

eukaryotic organisms. The main features of the EVs population have been listed in table 1.

Table I: Characteristics of major extracellular vesicles (Abreu et al. 2016)

EVs Origin Size Content Markers

Exosomes Multivesicular

bodies

30–100 nm Proteins, lipids,

DNA, mRNA,

miRNA

CD81, CD63,

CD9, HSPs,

Tsg101

Microvesicles Plasma membrane 100–1000 nm Proteins, lipids,

DNA. RNA, cell

organelles

Selectins,

Integrins, CD40

Apoptotic

bodies

Membranes of

dying cells

50-5000 nm DNA, noncoding

RNAs, cell

organelles

Histones, DNA

5

1.2.1 Apoptotic bodies

Apoptotic bodies (ABs) are the least studied members among extracellular vesicles. These

are released from the cells which undergoes apoptosis and the size are measured between 50-

5000nm (Simpson & Mathivanan 2012). Apoptosis is important process and helps in removal

of damaged, infected and old cells from tissues. So, apoptotic bodies are basically packed

structure of cells and cellular debris that needs to be removed. The positive staining for

Annexin V (Hristov et al. 2004) and the presence of phosphatidylserine (PS) on external part

(Martin et al. 1995) makes it similar to microvesicle (MV) and hence difficult to distinguish

from microvesicle.

Since apoptotic bodies were considered as garbage bags for a long time, relatively less is

known about the composition of Abs. However, Mallat et al. studied the ABs of human

monocytic and lymphocytic from atherosclerotic plaques and found these ABs to contain PS,

coagulation factor III and annexin A5 (Mallat et al. 1999). Proteomics studies of ABs from

thrombocyte of mice has identified 142 proteins ranging from heat shock protein, histone

related, cytosolic, oncogenes and few other proteins that are immunologically important

(Turiak et al. 2011).

Further, ABs contains multiple cell organelles that are packed closely along with nuclear

fragments which can be seen by electron microscopy (Elmore 2007). Also, ABs containing

DNA and RNA separately that is rich in either one of these component have been observed

(Halicka et al. 2000). ABs of tumor cells have shown ability to suppress CD8+ cell responses

in vivo (Xie et al. 2009) and growth factor VGEF was found to be expressed higher,

suggesting possible role of apoptotic bodies in tumor propagation.

1.2.2 Microvesicles

Microvesicles (MVs) represent the extracellular vesicles between 100-1000 nm in size. MVs

are released by normal and diseased cells and are often grouped together with exosomes but

these vesicles are unique populations with distinct structures from exosomes.

6

MVs are formed by budding and fission of plasma membrane and released into extracellular

space; process which is dependent in calcium signaling and enzyme activity. The changes in

calcium level leads to the activation of calcium dependent enzymes such as scramblase and

floppase along with lipid composition of the plasma membrane (Piccin et al. 2007). One of

the main features of MVs is externalization of phosphatidylserine (PS) which is located on

the outer membrane of microvesicle shedding site. However, MVs without secreted PS has

also been reported (Barteneva et al. 2013).

The function of microvesicles depends on the cargo they carry. Apart from carrying genetic

materials like DNA, mRNA and miRNA, microvesicles also carry transmembrane proteins

and cellular receptors on their surface thus reflecting the characteristics of their parent cells.

Differentiated cells and tumor cells release microvesicles carrying miRNAs or mRNAs in

most of the cases (Mytar et al. 2008).

1.2.3 Exosomes

Exosomes are small vesicles ranging from 30 – 100 nm in size and originate from

multivesicular bodies (MVBs). MVBs fuse with the plasma membrane and their intraluminal

vesicles are released as exosomes in extracellular space (Harding et al. 1983). The term

“exosomes” was given by Trams et al in 1981 (Trams et al. 1981). Exosomes are separated

by multiple number of cells including B and T cells, dendritic cells, mesenchymal stem cells,

epithelial cells, endothelial cells and cancer cells both at normal as well as pathological

condition (Henderson & Azorsa 2012). Apart from this, exosomes are also identified in

different types of body fluids such as urine, blood, serum, saliva and nasal secretion.

Interestingly, it has been shown that the amount of exosomes secreted by cancer cells is

higher than the normal cells (Taylor & Gercel-Taylor 2008; Logozzi et al. 2009).

The major components of exosomes are Proteins, lipids, DNA, miRNA and mRNA. The

study carried out in different cell type shows that exosomes contain 4,563 proteins, 194

lipids, 1,639 mRNA and 764 miRNAs (Mathivanan et al. 2012; Mathivanan & Simpson

2009) making exosomes a complex molecule. The major proteins identified are fusion

proteins, CD63, CD81, CD9, CD82, heat shock proteins (HSP70, HSP90), signal

7

transduction proteins, cytoskeletal proteins along with cell type-specific proteins like major

histocompatibility complex (MHC) I and II, A33 antigen (Mathivanan & Simpson 2009) and

differ according to the cells from which they origin.

Lipids in exosomes are less characterized in compared to other components. Exosomes have

their own specific lipid composition differing from parental MVB but still reflect the cells of

origin. Their functions are highly contributed by bioactive lipids such as prostaglandins

(Subra et al. 2010). DNA and RNA including mRNA and miRNA are other major

compositions of exosomes in addition to protein. The presence of RNA makes exosomes as a

significant pathway of cell to cell communication. These mRNAs are found to be functional

and transferable within target cells where they can be translated into proteins (Ratajczak et

al. 2006). Thus mRNA and miRNA both perform specific functions upon their transfer to

other cells indicating that exosomes are potential route for signaling between cells.

1.3 Exosomes in cancer

Intercellular communication is an important process by which cells transmit and receive

signals between nearby or distant cells. Previously, it was thought that intercellular

communication occurs by direct cell-to-cell contact and secreted soluble proteins. Recent

studies have shown a new way of communication among cells mediated by extracellular

vesicles (Thery et al. 2009). These vesicles are effective for signaling among neighbor cells

as well as distant cells.

Metastasis is one of the major causes of deaths in cancer. The mechanism by which the

cancers cells escape the site of primary tumor and migrate to distant cells are not yet fully

understood (Nguyen et al. 2009). For effective metastasis, cells from primary tumor escape

into blood or lymph and grow tumor in a distant cell with favorable microenvironment for

tumor propagation. There is growing evidence that exosomes might play an important role in

this process (Yang C & Robbins PD 2011). Exosomes are capable of passing proteins,

miRNAs as well as anti-cancer drugs from the cells and release regulatory and signaling

molecules (Lee et al. 2011). Some factors released from exosomes can enhance stromal

8

remodeling and transformation of hypoxia-mediated mesenchyme which is important for

cancer development (Nieto 2011). By desmoplastic reaction, exosomes can lead to fibroblast

proliferation and can cause immune escape by suppressing antigen specific immune

responses or by upregulating immunosuppressive cell differentiation (Azmi et al. 2013). This

shows that exosomes are critical for tumorigenesis.

Some studies have shown the potential of exosomes for cross tumor propagation. Exosomes

from renal cells have shown to initiate angiogenesis in lung cancer ascites (Nguyen DX &

Massague J 2007) and exosomes from human bone marrow mesenchymal stem cells have

shown to stimulate proliferation of proximal tubular cells by transferring hepatocyte growth

factor-1 receptor mRNA (Tomasoni et al. 2013). These results suggest that exosomes trigger

tumor propagation by horizontal transfer of genetic materials.

There are different mechanisms by which exosomes interact with the recipient cells. One

mechanism involves the binding of exosomal membrane proteins with the ligands of the

recipient cell membrane such as transferrin receptor, integrins, tumor necrosis factor

receptors and tetraspanin proteins like CD9, CD63 and CD81 (Chen et al. 2010). Another

mechanism involves the fusion of exosomes with the membrane of the recipient cell thus

resulting in the transfer of exosome contents such as proteins, miRNAs, mRNAs and other

signaling molecules or endocytosis (Hemler 2003; Tien et al. 2010).

Together with transferring cargo to various cells, exosomes have ability to protect its

contents from degradation due to several degradative enzymes such as RNase, trypsin and

other chemical components due to the presence of lipid bilayer in exosomes (Koga et al.

2011).

9

1.4 Hypoxia and exosomes

Adequate oxygen is necessary for normal cellular function and energy metabolism in

organisms. Hypoxia refers to the condition of insufficient oxygen supply and in most of the

time associated with promoting different diseases such as tumor spreading, pre-eclampsia

(PE) and venous thromboembolism (VTE) (Belting & Christianson 2015). Hypoxia inducible

factors (HIFs), are the transcription factors associated with the oxygen homeostasis (Kaelin

& Ratcliffe 2008). HIFs are formed by two subunits, HIF-α and HIF-β and are responsible

for maintenance of different cellular responses (Zhong et al. 1999). HIF dependent hypoxic

response depends on intercellular signals, which then plays active role to provide adaptive

mechanism for cell survival and tissue remodeling in the hypoxic microenvironment. It was

also recently found that hypoxia increased the secretion of tumor enhancing factors which

affects the surrounding tissues in the tumor microenvironment (Chaturvedi et al. 2013).

Many studies have shown that hypoxia enhance the exosomes release in various tumors. In

breast cancer, hypoxia mediated activation of HIF-1 α have been found to increase release of

exosomes which was confirmed by the lower release of exosomes when HIF-1α was

knockdown (King et al. 2012). Extracellular vesicles include a diverse range of vesicles and

hence are conceivable to believe that different mechanisms play a role in hypoxia-regulated

formation and secretion of these vesicles in cell dependent manner.

Hypoxia not only affects during secretion of vesicles but also have great impact on the

messages contained within the vesicles. The messages contained and transferred by the

vesicles are affected by hypoxia resulting in effects in functions. The study showed that

angiogenic pathways and metastatic potential are enhanced by hypoxic microenvironment

through secretion of exosomal proteins transpanins and alix while studying A431 carcinoma

cell line when subjected to hypoxia and then back to oxygen (Park et al. 2010). These studies

show that hypoxia actually promotes the secretion of exosomes inorder to create

microenvironment which favors pro-angiogenic environment which results in the

development of tumors aggressively.

10

1.5 Importance of EVs in cancer

1.5.1 As biomarkers

The novel biomarkers play important roles in detection, prognosis and diagnosis of the disease,

particularly in cancer and exosomes have potential to act as significant biomarkers (fig.2).

Exosomes carries various intercellular molecules, hence may act as a source of unidentified

important biomarkers which have potential to predict the disease before it spreads completely

and patient goes under formal diagnosis such as MRI, CT or PET scan (Cho et al. 2012;

Paidpally et al. 2012). Since exosomes display specific expressions which are most of the time

representation of disease state, and also these exosomes can be detected in the body fluids,

making these vesicles ideal candidate for biomarkers of the tumor propagation (Tickner et al.

2014). Both exosomal proteins and RNAs serve as potential biomarkers.

In kidney, proteomics studies of urinary exosomes have analyzed proteins from different parts of

nephron and several biomarkers have been identified. These proteins are effective for

pathological conditions such as acute kidney rejection, acute kidney injury as well as diabetic

nephropathy (Ling et al. 2010; Hongjuan et al. 2009). One study suggested that exosomes

containing aquaporin-1 protein´s excretion decreased in rats under I/R up to 96 hours but after

480 hours, it returned to normal level. The similar result was later observed in patient with renal

allograft transplantation, suggesting that exosomes carrying aquaporin-1 protein is able to detect

I/R induced injury of renal cells. This can be used to predict post transplantation failure (Sonoda

et al. 2009).

More than 1000 proteins have been identified in humans by analyzing urinary exosomes and

among them 34 proteins have been found to be associated with kidney diseases like polycystin-1

protein in autosomal dominant polycystic kidney disease type 1, aquaporin-2 protein in

autosomal dominant and recessive nephrogenic diabetes and Na-K-2Cl symport protein in

antenatal barter syndrome type 1 (Miranda et al. 2010).

11

Along with proteins, exosomes also contain mRNA and miRNA which can be used as disease

biomarkers. Studies have shown that miRNA of circulating exosomes are useful in diagnosis of

cancers including lung and ovarian cancer (Taylor & Gercel-Taylor 2008; Rabinowits et al.

2009). In kidney, various miRNAs (miR-200a, miR-200b and miR-429) were found to be

lowered than the normal level in the patient with immunoglobulin A nephropathy and the level

of reduction was associated with the disease severity (Wang et al. 2010). It is also found that

urinary granzyme A mRNA level can distinguish person between diseases cellular rejection and

acute kidney injury (Van Ham et al. 2010). These studies show that the miRNAs and mRNAs are

not only associated with the disease biomarkers but also changes in their level in urinary

exosomes can help to detect the progression of diseases.

12

Figure 2: Role of extracellular vesicles as therapeutic agents, biomarkers and in drug

delivery. EVs can activate immune response as well as suppress inflammation, can act in blood

coagulation process, help in communication for neurons and can repair injured tissues, thus

making them ideal for therapeutic agents. Their ability to transfer RNAs to surrounding cells

make them suitable candidate for drug delivery. Also proteins present in these vesicles can act as

biomarkers (Andaloussi et al. 2013).

1.5.2 As therapeutic agents

The ability of exosomes to transfer mRNAs and miRNAs between cells of origin and target cells

opens a new concept of using exosomes as delivery vehicles in therapeutics (fig.2) (Valadi et al.

2007). These transfers can either increase or decrease in the level of protein expression within

the target cells. Angiogenesis in endothelial cells is caused by endothelial progenitor cell-derived

exosomes by possible mechanism of transferring mRNA and miRNA molecules in the target

13

cells (Deregibus et al. 2007). Thus exosomes can influence the gene expression of the target

cells.

Exosomes can also serve as important vehicles in the delivery of specific antigens (fig.2). The

idea has been useful in vaccination against acute respiratory syndrome where exosomes loaded

with acute respiratory syndrome S protein (Kuate et al. 2007) against Toxoplasma gondii where

exosomes loaded with specific antigen (Beauvillain et al. 2009) showed positive effects. The

antibodies were neutralized to the most extent and in the case of T. gondii the disease level was

seen to be reduced in mice.

Since exosomes are secreted by almost every type of cells and are able to transfer their cargos

among cells proves their ability to deliver drugs, especially the delivery of therapeutic nucleic

acids, fig. 1(b). Thus exosomes can be considered as ideal nanovectors for drug delivery while

compared to synthetic lipid vesicles or liposomes (Fais et al. 2013). In 2010, the first publication

was done on vesicle mediated transfer of nucleic acid where THP-1 monocyte was transfected

with miR-150 and secreted vesicles were found containing miR-150, which was delivered to the

recessive, cells (Zhang et al. 2010). The capacity of such vesicles in delivery can be an important

success in gene therapy where these vesicles can be engineered to deliver regulatory miRNAs,

siRNAs or even tumor suppressors like PTEN (Gabriel et al. 2013).

The possible role of exosomes in the kidney diseases is being studied. Mostly, the exosomes

have been found to be associated in the paracrine effects in stem cell therapy. During stem cell

therapy of kidney injury, mesenchymal stem cells were able to recover partially through

paracrine factors released from exosomes (Gatti et al. 2011). Similarly, in stem cell therapy of

glomerulonephritis in rats (anti-Thy 1.1 glomerulonephritis), paracrine factors from injected

mesenchymal stem cells were helpful than the factors derived from cells themselves (Kunter et

al. 2006). In these paracrine effects, exosome secretion was found to be involved. Thus

exosomes can have a significant importance in treatment of different diseases including kidney

diseases.

14

2. AIM OF THE PROJECT

The general aim of this thesis is to study the role of renal tumor cell derived exosomes in kidney.

The specific aims of this thesis are:

To purify and characterize exosomes derived from mouse kidney cancer cells (Renca).

To study the effect of exosomes in mouse embryonic kidney (MM) cells

To see whether Renca derived exosomes have role in tumor growth

To study proteins and RNA contents of exosomes for biomarker discovery

15

3. MATERIALS AND METHODS

3.1 Cell culture

The cell lines used in this study were renal carcinoma (Renca WT) cell line (ATCC® CRL-

2947 TM

, Manassa, VA) and Renca cells stably expressing enhanced yellow fluorescent

protein (Renca YFP), MK3 (early metanephric mesenchyme) and MK4 (later induced

metanephric mesenchyme) (Valerius et al. 2002). The Renca cells were cultured in

Dulbecco’s modified Eagle medium (Life Technologies, UK): nutrient mixture F-12

(DMEM/F12), MK3 and MK4 cells were cultured in normal DMEM, both supplied with

10% FBS and 100 U penicillin/ 0.1 mg/ml streptomycin.

During passage of the cells, the cells were washed with PBS one to two times, trypsin was

added and plates were incubated for 4 minutes at 37°C in order to detach the cells. After

adding media, the cells were splitted in the ratio of 1:3 - 1:5. Cells were cultured in an

incubator at 37°C and 5% CO2 (Panasonic Healthcare, Japan). The cells were frequently

checked for contamination.

To maintain cell lines for a long period of time, cells were trypsinized and centrifuged at

1500 rpm for 4 minutes. The pellets were then dissolved in dimethyl sulfoxide (DMSO) 5-

10%, put in cryogenic tube and stored at -70°C overnight. The tubes were then finally

transferred to liquid nitrogen for long term storage.

3.2 Exosomes isolation

The cells were cultured in 20 big plates until confluency reached up to 80-90%. The previous

media was removed and exosome free media was added. Half number of plates were

incubated in normal condition (37°C and 5% CO2) while the remaining plates were incubated

in hypoxic condition (37°C and 1% O2). After 24 hours of incubation, isolation was carried

out by ultracentrifugation and density-gradient separation method.

16

For ultracentrifugation, the cell supernatants were collected and centrifuged at 3000 rpm for

10 minutes to pellet cells and debris. The supernatant was then centrifuged at 2000 rcf and

4°C for 15 minutes inorder to get rid of oncosomes. MVs were pelleted by ultracentrifugation

at 20,000 rcf and 4°C for 45 minutes. The supernatant was filtered using 0.22-micron filter

and finally ultra-centrifuged at 108,800 rcf and 4°C for overnight or 18-22 hours (Sorvall

WX90, Thermo Scientific, US) for exosome isolation. The supernatant was discarded and the

pellet was dissolved in 1x filtered PBS.

For density gradient separation, the cell supernatants were collected in centricon plus-70

filter device (Merck Millipore, Ireland) and concentrated by centrifugation at 3500 rpm and

4°C for 40 minutes. The concentrated sample was recovered by short spin at 1000 rpm for 2

minutes. Homogenization media (HM) and working solution buffer (WB) were prepared.

The working solution (WS) was prepared by adding 1 volume of WB to 5 volumes of

optiprep solution (Sigma). The gradient solution was prepared in a following way:

Percentage (%) WS (ml) HM (ml)

5 1 9

10 2 8

15 4 6

20 8 2

Each gradient solution was sequentially layered on the top of each other in polyallomer

ultracentrifuge tube. The concentrated sample was finally added on the top of the gradient.

The gradients were ultracentrifuged at 24,200 rcf, 4°C for 18 hours (overnight). 1 ml

fractions were collected and diluted in 1x PBS and centrifuged at 24,200 rcf, 4°C for another

3 hours. The supernatant was discarded and pellet was resuspended in 1x PBS.

17

Gradient solutions were prepared as follows:

Homogenization medium (HM)

0.25 M sucrose

1 mM EDTA

10 mM Tris-HCl

pH 7.4

Working solution buffer (WB)

0.25 M sucrose

6 mM EDTA

60 mM Tris-HCl

pH 7.4

3.3 Exosomes labeling

10x Exo-Red was added to isolated exosomes in a 1.5 ml eppendorf tube and mixed gently

without vortex. The solution was incubated in 37°C for 10 minutes. The labeling reaction

was stopped by adding ExoQuick-TC reagent (System Biosciences, CA) to the labeled

exosomes samples and mixed by inverting. The tube was incubated on ice for 30 minutes.

The sample was centrifuged at 14,000 rpm for 3 minutes. The supernatant was removed and

the pellet was suspended in 1x PBS. The exosomes were labeled and ready to be monitored

for tracking.

3.4 SDS-PAGE

Before characterization of exosomes by western blot, proteins were first separated by sodium

dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). 10% resolving gel was first

prepared and after its polymerization, 4% stacking gel was layered on the top of resolving

gel. Protein samples were mixed with 1x laemmli buffer and heated at 95°C for 5 minutes.

The 2-mercaptoethanol reduced disulfide bonds and SDS denatures the proteins and provide

18

negative charge which will now separate on the basis of molecular weight. The samples were

loaded on each well and run for 90 minutes at 15 mA current. Protein ladder was used

inorder to determine the protein size separated in the gel.

10% resolving gel

H2O 5.22ml

40% acrylamide 2.6ml

1.85M Tris, pH 8.8 2ml

10% SDS 100µl

10% APS 50 µl

TEMED 10 µl

4% stacking gel

H2O 3.92ml

40% acrylamide 500µl

1.85M Tris, pH 6.8 500µl

10% SDS 50µl

10% APS 31µl

TEMED 6.3µl

3.5 Western blot

After completing SDS-PAGE, the proteins were transferred to nitrocellulose membrane. The

nitrocellulose membrane was placed on the top of gel and sandwiched between Whatman

papers on both sides. The blotting was done for 70 minutes at 150V using ice inorder to

avoid excessive heating. Once the transfer was complete, the membrane was blocked in a 5%

blocking buffer for 1 hour. Primary antibody CD81 (Santa Cruz Biotechnology, US) was

added and the membrane was left in a cold room in a shaker overnight. The membrane was

washed with 1xPBST three times 5 minutes each and secondary antibody anti-mouse (Dako,

Denmark) was added and incubated in a shaker for 1 hour. This was followed by another

wash with 1xPBST three times 5 minutes each. Detection reagent was added to the

membrane and incubated for 1 minute and finally imaging was done on the imager.

19

Blocking buffer

2.5-gram casein milk was dissolved in 50 ml 1x PBST.

3.6 Cell migration assay

Approximately 30000 cells per well were cultured in a 96 well image lock plate. The plate

was incubated overnight and next day, the wells were more than 80 percent confluent to carry

out experiment. The wells were then treated with mitomycin (1:10 dilution) and incubated for

3 hours at +37°C.

Scratching on the cell plate was done carefully by using wound maker (Essen Bioscience).

The media was removed and the cells were washed with 1xPBS once. After adding new

media, the cells were treated with hypoxia and normoxia exosomes (1µl per well) and

incubated in +37°C incubator. The imaging was done by using incucyte zoom system (Essen

Bioscience, US) for the next 24 hours.

3.7 Cell proliferation assay

Approximately 3000 cells were cultured in a 96 well plate. The cells were 80-90% confluent

after growing for 24 hours. Next day, the old media was removed and new media was added.

The cells were then treated with hypoxia and normoxia exosomes. Sytox Green (1:20

dilution) was added in all wells and incubated at +37°C. The imaging was done by incucyte

zoom (Essen Bioscience US) for next 24 hours.

20

3.8 Mass spectrometry

The concentration of protein sample was measured by BCA assay. Specific amount of

protein solution was taken and precipitated by adding 3 aliquots of cold acetone and mixed

by vortexing. The mixture was incubated at -20°C overnight.

The sample was centrifuged at 12,000g for 20 minutes at 4°C. The supernatant was discarded

and the pellet was air dried for 3 minutes. A double volume of Tris buffer (50mM, pH 8.5)

with trypsin at an enzyme: substrate ratio of 1:30 (w/w) was added, vortexed and incubated at

37°C for 3 hours. The sample was then reduced with 25mM DTT at 95°C for 5 minutes and

then alkylated with 100mM iodoacetamide at 37°C for 30 minutes in the dark place. This

was followed by addition of second aliquot of trypsin at an enzyme: substrate ratio of 1:25

(w/w) and incubated at 37°C overnight. This allowed for the complete digestion of the

protein sample.

The tubes were collected from incubator and centrifuged at 10,000g for 5 minutes. The

supernatant was collected in new tube and equal volume of 100% acetonitrile was added. The

mixture was transferred to glass vials avoiding bubbles at the bottom and dried using

speedvac (Thermo Scientific, US). The sample was then processed for mass spectrometry.

3.9 Immunohistochemistry

The section slides were taken out from -70°C freezer and thaw them at room temperature for

15 minutes. The samples were blocked by adding 500µl blocking solution at room

temperature for 1 hour. The samples were then incubated by primary antibody; anti-GFP

(abcam ab 290) at 4°C overnight.

Next day, the samples were taken out from 4°C and allowed to stay at room temperature for 1

hour. Samples were washed with 1x PBS for 6 times 15 minutes each. Secondary antibody;

AF goat-anti-rabbit 546 along with Hoechst was added to the samples and incubated for 1

hour at room temperature. Since secondary antibody is light sensitive, this step was carried

21

out in dark place. The samples were then washed with 1x PBS for 3 times for 15 minutes and

finally washed with water.

Blocking solution

5% gat serum 2.5ml

5% FBS 2.5ml

1% BSA 0.5ml

0.1% Triton-X 50µl

Dissolved in 0.3M glycine PBS

Primary antibody (1:500)

3µl anti-GFP dissolved in 1500 µl 1x PBS.

Secondary antibody (1:1000)

2.5µl AF goat-anti-rabbit 546 and 1.25µl Hoechst (1:2000) dissolved in 2.5ml 1x PBS.

3.10 RNA extraction

TRIZOL was added in RNAseA treated exosome and mixed. Chloroform was then added to

the sample, mixed by inverting 30 times. The mixture was left for 5 minutes at room

temperature and span for 15 minutes at 10,000 rpm and 4°C. The aqueous phase was

transferred to the tube containing isopropanol, mixed by vortexing and kept at -80°C for 2

hours. The sample was thaw span for 15 minutes at 13000 rpm 4°C, supernatant was

removed and 1ml 75% ethanol was added to the pellet. After brief vortexing, the sample was

span for 5 minutes at 1000 rpm 4°C, supernatant was discarded and the tube was span for a

few minutes at 12000 rpm at room temperature. The rest of the liquid was removed carefully

and tube was left to dry for few minutes and RNAse free H2O was added and vortexed. After

5 minutes incubation on ice, concentration was measured. DNAseI buffer and DNAseI was

added to the sample and incubated for 10 minutes at room temperature. Trizol and

chloroform were immediately added and mixed by inverting. The mixture was left at room

temperature for 5 minutes and then centrifuged for 15 minutes at 10,000 rpm 4°C. The

22

aqueous phase was transferred to the tube with isopropanol, mixed by vortexing and

incubated overnight at -80°C.

Next day, the sample was centrifuged for 15 minutes at 13000 rpm. The supernatant was

removed and 75% ethanol was added, span for 5 minutes at 10000 rpm and supernatant was

removed. The sample was further span for 2 minutes at 12000 rpm at room temperature and

rest of the supernatant was removed. The sample was left to dry for few minutes and RNAse

free water was added, vortexed and put in ice. After 10 minutes concentration of RNA was

measured and precipitated again with RNAse free glycogen, RNAse free sodium acetate and

100% ethanol. The mixture was vortexed, incubated at -80°C for 1 hour. After spinning at

13000 rpm for 15 minutes, the sample was washed with 75% ethanol.

The samples were processed by Next Generation Sequencing (NGS), Ion Torrent in

Biocenter Oulu Sequencing Center and results were analyzed.

3.11 Electron microscopy

Former coated copper grids (400 mesh) were glow-discharged before samples were applied.

Sample solution was mixed gently and 3µl droplet was used for each grid and incubated for

20 minutes. The grid was washed 2 times for 1 minute each with a drop of PBS and for 10

minutes in 1% BSA in PBS. The grid was incubated on a drop of primary antibody for 20

minutes, washed 3 times for 1 minute each in a drop of 1% BSA in PBS and incubated on

another drop of secondary antibody for 20 minutes. The grid was washed 3 times for 1

minute each in a drop of 1% BSA in PBS, incubated on a drop of gold-conjugated protein A

for 20 minutes and washed 3 times for 1 minute in a drop of PBS. Sample was fixed by

incubating grid on a drop of 1% glutaraldehyde in PBS for 5 minutes, washed 8 times 1

minute each in a drop of water and then stained with 2% UA in H2O for 5 minutes inside the

fume hood. Finally, the grid was coated with 2% methylcellulose-UA (0.4%) solution for 10

minutes and dried at room temperature.

23

3.12 Injection of chicken embryos: ex ovo culture

Fertilized Hy-line chicken eggs were obtained from Haaviston farm (Finland). The eggs were

incubated in a rotary thermostat at 37.5°C for 2 days. At day 3, egg shell was cut carefully

using sterile scissors and the entire egg content was transferred to petri dish with water

covered with plastic.

Renca YFP cells were trypsinized and centrifuged at low speed for 5 minutes. The pellet was

dissolved in 1x PBS and around 1 million cells were injected into embryo. The injections

were intracardiac and were done in two different conditions; some embryos were injected

with only renca YFP cells and others were injected with renca YFP cells with exosomes. The

embryos were then incubated in incubator at +37°C. They were allowed to grow for 7-10

days and images were taken.

24

4. RESULTS

The aim of this thesis was to study the function of kidney cancer derived exosomes. Therefore,

the project includes characterization of these exosomes using multiple methods, their effects on

normal mesenchyme cells and role in tumor enhancing. In the last part of the thesis, we analysed

proteins and RNA contents of the exosomes.

4.1 Characterization of EVs

4.1.1 Electron Microscope analysis

We first investigated the purity of isolated exosomes by transmission electron microscopy

(TEM). The exosomes were immunogold labelled with CD63 antibody and negative stained with

uranyl acetate. Images were taken with Tencai, TEM. We found that majority of vesicles were

labeled with CD63 (fig. 3).

25

Figure 3: TEM of renca exosomes. Exosomes characterized for known exosome markers

CD63. Normoxia exosomes (A) and hypoxia exosomes (B). Both exosomes express CD63;

however, cells in hypoxic condition release more exosomes and also express CD63 in higher

amount than in normoxic condition.

4.1.2 Western Blot

We then investigated exosomes purified from differential centrifugation and sucrose gradient

fractions with western blot using CD 81 marker. The result shows the strong exosome signals on

hypoxia derived exosomes than the normoxia derived exosomes as shown in figure 4. This

shows hypoxia increases the exosomes secretion by the cells.

200 nm 500 nm

A

B

200 nm 500 nm

500 nm

500 nm

26

Figure 4: Western blot analysis of tumor derived exosomes. A) Vesicles from differential

centrifugation were tested with CD81 marker. The signal was seen in exosome fractions but no

signals were seen in oncosomes and microvesicles fractions. B) Exosomes from hypoxic

condition show strong signal when treated with CD81 marker. This signal is higher than the

normoxia derived exosomes. C) Normoxia derived exosomes have signals when treated with

CD81 marker. The signal shows less secretion of exosomes than hypoxic condition.

4.1.3 Nanoparticle tracking analysis (NTA)

The size and concentration of exosomes was measured using nanoparticle tracking device

(Malvern Instruments, Malvern, UK). No significant difference in average values was seen

between hypoxia and normoxia exosomes particle sizes. The size distribution in hypoxia sample

is wide that shows the presence of particles with the size above 100 nm. The NTA result also

shows the amount of exosomes is higher in hypoxia than the normoxia condition (fig. 5).

A

B

C

27

Figure 5: Exosomes analysis by NTA. A) Normoxia exosomes have particle distribution

between 50-300nm with highest concentration at 77nm. B) Hypoxia exosomes have wide

size distribution between 50-500nm. Higher amount is seen is 82 and 123 nm, with possibly

some other bigger particles than exosomes between 300-500nm. C) Graph shows the

concentration difference between hypoxia and normoxia exosomes. Exosomes in hypoxia

conditions are released in higher amount than normoxia condition (p-value <0.05).

0

50

100

150

200

250

300

350

Normoxia Hypoxia

C

B A

28

4.2 Effects of exosomes

4.2.1 Exosome labeling

We first wanted to study whether exosomes can be taken by kidney cells. Exosomes from

hypoxia condition were labeled using far red CellVue Claret dye and images were taken in

confocal microscope. The result shows exosomes moving towards the nucleus of the surrounding

cells (fig. 6). This is the indication that the exosomes can work as a cargo and transfer genetic

materials like DNA, RNA or proteins into the surrounding cells.

Figure 6: Exosomes labeled with far red dye. Unstained Renca YFP cells appear green and

blue represents the nucleus of the cells. When these cells were treated with labeled exosomes

(red), exosomes seem to move towards nucleus. This means cells can uptake exosomes regularly

and transfer of nucleic acids via exosomes is possible.

29

4.2.2 Cell proliferation and motility assay

Next we studied exosomes function in vitro. Cell proliferation and motility assay was performed

using IncuCyte zoom (Essen Bioscience). MM cells were grown in 96 well plates overnight,

treated with hypoxia and normoxia derived exosomes and images were taken every 2 hours for

the next 24 hours. The result shows that exosomes can enhance cell proliferation. The activity

was found to be higher in hypoxia exosomes than normoxia exosomes when compared to control

(figure 7; A).

The motility assay was done in order to observe the effect of exosomes in cell migration. The

result shows that normoxia exosomes have higher activity but hypoxia exosome somehow did

not show significant effect (figure 7; B).

Figure 7: Effect of exosomes in cell proliferation and cell motility. A) Hypoxia exosomes has

higher activity in cell proliferation than normoxia. When compared to control, cell proliferation

increases after cells were treated with exosomes. B) Normoxia exosomes increases the cell

migration after treatment with the MM cells. The effect is quite high when compared to hypoxia

exosomes.

A B

30

4.2.3 Injection of chicken embryos

Chicken embryos were used as an in vivo model. Renca YFP cells were injected in chicken

embryo. The intracardiac injection was done in embryos which were at early stage of

development; day 3, ex ovo. The embryos were injected in two different conditions; some

embryos were injected with renca YFP cells only while rest of the embryos were injected with

mixture of renca YFP cells and exosomes derived from hypoxia conditions. The embryos were

observed for another 7-10 days and the preliminary result showed that when renca YFP cells are

treated with exosomes then they form bigger tumor colonies (fig. 8).

Figure 8: Injection of chicken embryos with renca YFP cells and exosomes. A) Embryo was

injected with renca YFP cells alone led to the formation of green colonies. B) Tumors grow after

the renca YFP cells were treated with exosomes and injected in embryo. Exosomes seem to

enhance tumor growth in the latter case.

B A

100

31

4.3 Protein analysis by mass spectrometry

Exosomal proteins were studied after acetone precipitation method and analyzed by using liquid

chromatography mass spectrometry (LCMS). The study was carried out on both hypoxia and

normoxia derived exosomes and results were analyzed. The result shows that hypoxia induces

more proteins secretion in compared to normoxia condition. Several different classes of proteins

were observed in the mass spectrometry result in both hypoxia as well as normoxia derived

exosomes. The mass spectrometry results are given in table II and III.

Table II: Exosomal proteins expressed under hypoxic condition. Higher number of proteins

was detected in exosomes treated under hypoxia condition. Several of these proteins are

expressed under extreme conditions and hence can serve as important biomarkers most of the

time.

Accession Description Molecular

weight (Da)

pI (pH) PLGS score Coverage

P62806 Histone H4 11360 11,7671 8574,386 45,6311

P0CG50 Polyubiquitin C 82499 9,0278 7481,831 30,6539

Q8CGP1 Histone H2B type 1 K 13911 10,7402 6400,869 30,9524

E9PZF0 Nucleoside diphosphate kinase 30180 9,0425 5764,21 38,5768

P22752 Histone H2A type 1 14126 11,4712 5066,944 26,9231

P84244 Histone H3 3 15318 11,6807 4490,656 21,3235

P35980 60S ribosomal protein L18 21631 12,1904 4202,632 31,383

P60710 Actin cytoplasmic 1 41709 5,1431 3547,809 21,0667

Q6ZWN5 40S ribosomal protein S9 22577 11,0874 1736,596 39,6907

P14869 60S acidic ribosomal protein P0 34194 5,8477 1628,188 30,9148

P62242 40S ribosomal protein S8 24190 10,7153 1601,239 49,0385

P15864 Histone H1 2 21253 11,4902 1339,977 22,6415

P14131 40S ribosomal protein S16 16435 10,5688 1281,087 26,0274

P62908 40S ribosomal protein S3 26657 10,0415 1269,735 32,0988

P62301 40S ribosomal protein S13 17211 10,9409 1248,182 45,6954

G5E8N5 L lactate dehydrogenase 39732 8,458 1163,894 17,7285

P62889 60S ribosomal protein L30 12775 9,9536 1146,666 46,087

P62852 40S ribosomal protein S25 13733 10,5762 1060,998 22,4

P52480 Pyruvate kinase PKM 57808 7,2144 1028,287 37,8531

Q9CR57 60S ribosomal protein L14 23549 11,48 1018,957 19,8157

P12970 60S ribosomal protein L7a 29957 11,0068 982,8607 33,8346

D3YVC1 40S ribosomal protein S2 Fragment 28583 10,623 967,3157 24,5353

P14115 60S ribosomal protein L27a 16595 11,5356 947,0824 22,2973

F6XI62 60S ribosomal protein L7 Fragment 32507 11,5459 910,7275 23,2975

Q07797 Galectin 3 binding protein 64449 4,8179 902,4258 16,9844

Q9CZX8 40S ribosomal protein S19 16075 10,8325 763,945 17,2414

E9PZB3 Protein Gm5093 19863 9,8569 681,7593 17,2414

S4R1N6 40S ribosomal protein S18 12475 10,5308 676,6113 26,1682

P61358 60S ribosomal protein L27 15787 10,9775 667,8503 27,9412

32

P62900 60S ribosomal protein L31 14453 10,9688 605,6777 34,4

Q9D8E6 60S ribosomal protein L4 47124 11,4434 593,623 18,6158

I7HLV2 60S ribosomal protein L10 Fragment 23057 10,4004 586,8488 16,9154

P47911 60S ribosomal protein L6 33488 11,1284 575,1203 17,9054

P05213 Tubulin alpha 1B chain 50119 4,7622 558,2223 23,9468

G5E899 Plasminogen activator inhibitor 1 45015 6,0103 469,793 17,9104

P11499 Heat shock protein HSP 90 beta 83229 4,7754 439,9723 15,4696

P62754 40S ribosomal protein S6 28663 11,2896 432,179 15,261

P47963 60S ribosomal protein L13 24290 11,9531 402,5908 18,484

P62702 40S ribosomal protein S4 X isoform 29579 10,5864 332,8276 19,0114

P35979 60S ribosomal protein L12 17793 9,8965 308,0653 33,3333

P84099 60S ribosomal protein L19 23451 11,8901 298,982 18,3673

E9QAZ2 Ribosomal protein L15 24062 11,9707 293,9146 14,7059

P19253 60S ribosomal protein L13a 23449 11,439 251,4231 18,2266

P62267 40S ribosomal protein S23 15797 10,9585 249,2977 15,3846

P14206 40S ribosomal protein SA 32817 4,6025 226,6607 13,5593

P99027 60S acidic ribosomal protein P2 11643 4,1792 201,3828 23,4783

Q148B6 Speriolin 51385 8,3804 164,7531 12,5

P68040 Guanine nucleotide binding protein subunit beta

2 like 1

35054

7,5645

134,4731

20,5047

E9PZF0 Nucleoside diphosphate kinase 30180 9,0425 3022,229 40,4494

P52480 Pyruvate kinase PKM 57808 7,2144 1109,824 37,2881

Q5SX59 Enolase Fragment 20947 9,3311 866,2366 22,449

F6YJW4 60S ribosomal protein L18a 20464 10,5938 166,6728 17,2414

A2BI14 Coiled coil domain containing protein 171 43195 5,1079 156,5664 24,1848

Table III: Exosomal proteins expressed under normoxic condition. Fewer proteins were

detected in exosomes under normoxia conditions. Some proteins are unique and cells express

them under normal conditions, thus making them good candidate for important biomarkers.

Accession Description Molecular

weight (Da)

pI (pH) PLGS score Coverage

P62806 Histone H4 11360 11,7671 6049,126 45,6311

P70696 Histone H2B type 1 A 14227 10,708 3722,824 21,2598

Q8CGP4 Histone H2A 14047 11,6221 3292,788 27,1318

P68433 Histone H3 1 15394 11,5415 2104,465 30,8824

Q07797 Galectin 3 binding protein 64449 4,8179 648,4364 26,5165

P0CG50 Polyubiquitin C 8249 9,0278 567,3998 12,5341

Q07133 Histone H1t 21527 12,1348 484,0389 16,3462

P63260 Actin cytoplasmic 2 41765 5,1606 459,7068 16,5333

Q9QZF2 Glypican 1 61320 6,6489 290,694 20,4668

O88543 COP9 signalosome complex subunit 3 47801 6,1904 244,4512 10,6383

Q08879 Fibulin 1 77980 4,8442 191,3866 20,5674

Q61398 Procollagen C endopeptidase enhancer 1 50136 8,3965 166,2529 11,3248

G5E8N5 L lactate dehydrogenase 39732 8,458 161,6688 11,6343

P35441 Thrombospondin 1 129563 4,5366 145,322 10,1709

Q08879-2 Isoform C of Fibulin 1 75233 4,9614 121,4528 18,3942

P62806 Histone H4 11360 11,7671 1802,32 26,2136

P02301 Histone H3 3C 15305 11,5591 1311,323 16,1765

33

P10854 Histone H2B type 1 M 13927 10,7402 652,5275 15,873

P02535-2 Isoform 2 of Keratin type I cytoskeletal 10 57025 4,8164 617,9836 13,369

Q9R0H5 Keratin type II cytoskeletal 71 57346 6,627 470,1037 23,0033

Q7TSY8 Shugoshin like 2 130196 8,9033 61,8569 10,6529

Q07797 Galectin 3 binding protein 64449 4,8179 494,5569 16,5122

D3Z741 Protein 4930444G20Rik 56592 6,2329 266,3577 20,1144

F7CB97 CAP Gly domain containing linker protein 1

Fragment

135913

5,02

196,5467

12,3662

Q06890 Clusterin 51622 5,3247 389,5988 18,9732

P11499 Heat shock protein HSP 90 beta 83229 4,7754 239,0147 14,0884

Q80X71 Transmembrane protein 106B 31152 6,2329 123,0444 13,8182

4.4 RNA analysis

The exosomes were analyzed for their miRNAs presence, since miRNAs are important contents

with important functions. Both hypoxia and normoxia derived exosomes were studied and

several miRNAs were found to be present with different expression levels. Most miRNAs were

found to be expressed higher in hypoxia derived exosomes than normoxia exosomes (fig. 9).

Figure 9: Selected miRNA in renca cell exosomes. miRNAs were expressed in both hypoxia

and normoxia exosomes with different expression level. Almost all miRNAs were expressing in

both conditions except miRNA 5112 which expresses only in normoxia condition but was absent

in hypoxia condition.

0255075

100125150175200225250275300325

hypoxia

normoxia

34

5. DISCUSSIONS

Exosomes are extracellular vesicles secreted by almost all type of cells. They are enriched in

biological molecules such as DNA, mRNA, miRNA, proteins and lipids. Hence, the cells use

these vesicles as a means of communication and transfer biological information from parent cells

to the target cells. Such properties make them important players in the field of diseases including

cancer. In this study, tumor derived exosomes from renal carcinoma cells were purified,

characterized and studied. The proteins and RNAs were analyzed, and role of exosomes in tumor

formation was studied.

Currently, there is a lack of standardized purification methods for extracellular vesicles that can

distinguish exosomes from other vesicles. Here, we tried to purify exosomes by two methods:

sequential ultracentrifugation and OptiPrepTM

density gradient ultracentrifugation methods (Van

Deun et al. 2014). Western blot analysis with CD81 marker showed stronger signal in density

gradient purification (fig. 4) than simple ultracentrifugation method (fig. 4 A). However,

nanoparticle tracking analysis (NTA) confirmed the presence of vesicles larger than exosomes

(>100 nm) (fig. 5). Thus getting 100% pure exosomes or any other vesicles with the existing

purification methods is still a big challenge.

To study the effect of exosomes in cell proliferation and migration in recipient cells, MM cells

were either treated with exosomes or with diluent. A significant increase in cell proliferation and

migration was observed after the cells were treated with exosomes (fig. 7). Many studies support

the role of exosomes in tissue repair and positive effects have been seen in cell migration and

proliferation (Zhao et al. 2015). It is assumed that the ability of exosomes to exert such affect is

because of the RNA and protein contents of the exosomes. These biological components are

released into the cells by exosomes resulting in a promotion of cell migration and proliferation.

The in vitro tracking of the labeled exosomes showed that exosomes actually enter into the cells.

The labeled exosomes were uptaken by the cells (fig. 6). This result supports the work of

Ramesh et al. where they treated cells with exosomes of tumor origin and found the exosomes

entering into the cell cytoplasm (Ramesh et al. 2015). Our result shows that cells uptake

exosomes and exosomes release their active biological substances into the cells, promoting

cellular activities such as proliferation, migration and even tumor formation.

35

The role of exosomes in intercellular communication has been studied widely. The ability of

exosomes to transfer genetic materials like DNA, RNA and proteins has been found to be

associated with tumor propagation (Minciachhi et al. 2015). As an in vivo experiment, the

chicken embryos were injected with YFP labelled cancer cells either treated with exosomes or

Phosphate Buffered Saline (PBS). Significant tumor colonies growth was observed when the

embryos were injected with tumor derived exosomes (fig. 8). This provides evidence that

exosomes are key player in the tumor propagation. This result supports the work done by Du et

al. who investigated the effect of exosomes in renal carcinoma cells. The human Wharton´s jelly

mesenchyme stem cells derived exosomes stimulated tumorigenesis as well as growth in the

tumor size (Du et al. 2014).

Exosomes are rich in protein contents and in many cellular processes, exosomes can transfer

these protein cargos to target cells thus affecting cellular environment. The transfer of these

protein cargos via exosomes shows the potential role of exosomes in diseases including cancer

(Boukouris & Mathivanan 2015). In this study, we analyzed exosomal proteins from tumor

derived cells treated under hypoxia and normoxia conditions. Diverse range of proteins was

found in exosomes derived from both conditions; however, more proteins were detected in

hypoxia derived exosomes (table II) than in the normal condition (table III). The result is

comparable with the previous findings as many of these proteins have been reported in ExoCarta

protein database. However, many ribosomal proteins are also found in this study. This may be

due to the presence of apoptotic bodies in significant amount. During purification, apoptotic

bodies might have mixed with exosomes.

miRNAs refer to the small non-coding RNAs which play important roles in different biological

processes. One of the aims of our study was to investigate the miRNAs present in Renca

exosomes. Hypoxia and normoxia exosomes were analyzed and result showed the presence of

different miRNAs (fig. 9). Many of these miRNA have been detected in exosomes previously

and our result supports them. One of the miRNA we found in our study is let7b, which has been

described as one of the first miRNAs discovered in mammals and involves in the regulation of

differentiation and proliferation (Peter 2009). MiR-210 is expressed higher in hypoxia exosomes

which is relevant as miR-210 is known to be associated with HIF molecules and hypoxia

(McCormick et al. 2013). We found that miR-5112 is expressed in normoxia condition but is

36

completely unexpressed in hypoxia condition. The cells might loss expression of this miRNA

under stressed conditions like hypoxia. This can act as RNA biomarker and can be used in

diagnostic and prognostic process.

37

6. CONCLUSIONS

We investigated the role of exosomes in kidney in this study. Exosomes are released constantly

by cells and can be extracted from different body fluids and cell culture supernatants. The lack of

standard purification methods and suitable biomarkers that can separate exosomes from other

extracellular vesicles is still a problem and challenge for the researchers in this field.

The in vitro study showed that exosomes have effects in kidney cells. Metanephric mesenchyme

(MM) cells when treated with exosomes enhanced cell proliferation and motility activity when

compared to control. Hypoxia increases the release of exosomes as compared to the normal

condition.

The in vivo study of chicken model suggested the ability of exosomes to enhance tumor growth.

This suggests the role of exosomes in intercellular communication. The exosomes can transfer

their biological materials into the recipient cells and change microenvironment. This proves

exosomes can enhance tumor growth.

The proteins and RNA analysis of exosomes show the presence of many important proteins and

miRNAs. These exosomal proteins and miRNAs might have capacity to alter biological

functions.

In summary, we were able to purify and characterize exosomes from kidney cancer cell line,

show effect of exosomes in kidney both in vitro and in vivo.

38

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