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INOCULUMS DEVELOPMENT FOR THE PRODUCTION OF MONOCLONAL ANTIBODY AGAINST CONGENITAL ADRENAL HYPERPLASIA (CAH) LEONG CHOON WEI A thesis submitted in fulfillment of the requirements for the award of the Degree of Bachelor of Chemical Engineering (Biotechnology) Faculty of Chemical & Natural Resources Engineering Universiti Malaysia Pahang NOVEMBER 2010

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Page 1: INOCULUMS DEVELOPMENT FOR THE PRODUCTION OF …umpir.ump.edu.my/3191/1/CD5601_LEONG_CHOON_WEI.pdf · 2015-03-03 · development for the production of monoclonal antibody against Congenital

INOCULUMS DEVELOPMENT FOR THE PRODUCTION OF

MONOCLONAL ANTIBODY AGAINST CONGENITAL ADRENAL

HYPERPLASIA (CAH)

LEONG CHOON WEI

A thesis submitted in fulfillment

of the requirements for the award of the Degree of

Bachelor of Chemical Engineering (Biotechnology)

Faculty of Chemical & Natural Resources Engineering

Universiti Malaysia Pahang

NOVEMBER 2010

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ABSTRACT

By now, the importance of inoculums development was well appreciated in

bioprocessing. Inoculums development receives as much care and attention as the

growth and product cycles. The status or “health” of the inoculums has a great deal

to do with the success of the production cycle. In this project, inoculums

development for the production of monoclonal antibody against Congenital Adrenal

Hyperplasia (CAH) was studied. The scopes focused were the age of inoculums

(passage number) and inoculums density at different growth phases. A hybridoma

cell line (Hybridoma 192) was cultivated in batch mode with varying inoculums cell

densities and growth phases using Dulbecco’s Modified Eagle Medium (DMEM).

The maximum viable cell densities and the average specific MAb production rate (rp)

were found to dependent on the inoculums cell density and the growth phases.

Inoculums with low cell density at 5X104cells/ml and early log phase (t=28h) have

the highest average specific MAb production rate but a low maximum viable cell

density. Varying inoculums cell densites and growth phases did not affect the

specific growth rate, maximum MAb titer and net production of MAb. Since the

inoculums density in the range of 5x104 cells/ml to 5x10

5 cells/ml and growth phase

do not affect the net production of MAb, it is wise to use high initial inoculums cell

density at 5x105 cells/ml because the cell growth easily and faster compare low

inoculums density. For the inoculums age, the average specific MAb production rate

decreased when the passage number increased from PN (Passage Number) =9 to

PN=30.Subculture exceeding critical passage number 9 was thus not recommended.

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ABSTRAK

Dalam projek ini, pembangunan inokulum untuk penghasilan monoklonal

antibodi untuk menentang Congenital Adrenal Hyperplasia (CAH) telah dikaji. Skop

yang difokuskan dalam pembangunan inokulum adalah umur inokulum, kepadatan

sel inokulum dengan pelbagai fasa pertumbuhan hybridoma. Hybridoma dikulturkan

dalam mode batch dengan pelbagai kepadatan sel inokulum dan fasa pertumbuhan

dengan menggunakan Dulbecco’s Modified Eagle Medium (DMEM). Daripada

pemerhatian, maksimum kepadatan sel yang hidup dan purata spesifik kadar

penghasilan MAb adalah bergantung kepada kepadatan sel inokulum dan fasa

pertumbuhan. Inokulum yang mempunyai kepadatan sel yang rendah pada 5X104

sel/ml dan awal fasa pertumbuhan mempunyai nilai yang tinggi dalam purata spesifik

kadar penghasilan MAb tetapi nilai yang rendah dalam maksimum sel yang hidup.

Kadar spesifik pertumbuhan sel, maksimum MAb titer dan jumlah bersih

penghasilan MAb tidak bergantung kepada pelbagai kepadatan sel inokulum dan fasa

pertumbuhan. Walaupun kepadatan sel inokulum dan fasa pertumbuhan tidak

mempengaruhi jumlah bersih penghasilan MAb tetapi ia adalah senang dan cepat jika

mengunakan kepadatan sel inokulum yang tinggi seperti 5x105 sel/ml. Dalam umur

inokulum, purata spesifik kadar penghasilan Mab menurun apabila nombor passage

bertambah dari PN=9 ke PN=30. Kritikal nombor passage adalah penting , apabila

sel menjangkau nombor passage ini, sel perlu dicairkan daripada sumber yang baru

berbanding meneruskan sub-kultur di mana ia akan menpengaruhi penghasilan MAb.

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TABLE OF CONTENTS

CHAPTER TITLE PAGE

DECLARATION ii

DEDICATION iii

ACKNOWLEDGEMENT iv

ABSTRACT v

ABSTRAK vi

TABLE OF CONTENT vii

LIST OF TABLES x

LIST OF FIGURES xi

LIST OF ABBREVIATIONS xii

LIST OF APPENDICES xiii

1 INTRODUCTION

1.1 Background of Study 1

1.2 Problem Statement 3

1.3 Objective 3

1.4 Scope of Study 3

1.5 Rationale and Significance 4

2 LITERATURE REVIEW 5

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3 METHODOLOGY

3.1 Basal medium 11

3.2 Complete medium 12

3.3 Thawed cell 12

3.4 Cell count 12

3.5 Cell culture 14

3.5.1 Effect of inoculums age 14

3.5.2 Effect of inoculums density

and growth phase

14

3.6 Analysis 17

3.7 ELISA 17

4 RESULT and DISCUSSION

4.1 Inoculums age 19

4.2 Inoculums density and

growth phase

24

5 CONCLUSION AND

RECOMMENDATION

29

REFERENCES 31

APPENDIX 34

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LIST OF FIGURES

Figure No

TITLE Page

2.1 Evolution with time of the viable cell density during the

hybridoma T flask culture 7

2.2

Evolution with time of the viable cell density and the

viability for hybridoma cultures in spinner flasks with

different inoculums age

8

2.3

Kinetics of monoclonal antibodies production for

hybridoma cultures in spinner flasks with different

inoculums age.

9

2.4

Maximum cell and maximum IgG concentrations for

hybridoma cell line 167G5.3 in culture with different

serum levels and with different initial cell densities.

10

4.1

Evolution with time of the viable cell density (cells/ml)

and kinetics of monoclonal antibodies production for

hybridoma cultures in 75cm2

growth surface T-flask with

different inoculums age

22

4.2 Total net production of monoclonal antibody for different

passage numbers 23

4.3 Average specific MAb production rate for different

passage number 23

4.4 Specific growth rates for different passage number 24

4.5 Interaction of initial inoculums cell density and growth

phase affect the maximum viable cell density 25

4.6 Interaction of initial inoculums cell density and growth

phase affect the average specific MAb production rate 27

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LIST OF TABLES

NO TITLE PAGE

1

Runs of experiment based on DOE using

general factorial

17

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LIST OF ABBREVIATIONS

ABTS

ACTH

ANOVA

CAH

2,2’-azino-bis(3-ethylbenzthiazoline-6-sulphonic acid)

adrenocorticotropic hormone

analysis of variance

congenital adrenal hyperplasia

DMEM

DMSO

Dulbecco’s Modified Eagle Medium

Dimethyl sulfoxide

DOE

EIA

FBS

IMEM

MAb

NCAH

PBS

PES

PN

RIA

SDS

17-OHP

21-OHD

Design of Expert

Enzyme Immunoassay

Fetal Bovine Serum

Iscove's modified Eagle's medium

Monoclonal antibidy

non-classical congenital adrenal hyperplasia

phosphate-buffed saline

polyethersulfone

passage number

Radioimmunoassay

sodium dodecyl sulfate

17α-hydroxyprogesterone

21-hydroxylase

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LIST OF APPENDICES

APPENDIX TITLE PAGE

A Cell count for inoculums age 34

A1 Total cell, viable cell, viability % and specific growth rate

for PN=0 (Sample A) 34

A2 Total cell, viable cell, viability % and specific growth rate

for PN=0 (Sample B) 34

A3 Total cell, viable cell, viability % and specific growth rate

for PN=10 (Sample A) 35

A4 Total cell, viable cell, viability % and specific growth rate

for PN=10 (Sample B) 35

A5 Total cell, viable cell, viability % and specific growth rate

for PN=20 (Sample A) 36

A6 Total cell, viable cell, viability % and specific growth rate

for PN=20 (Sample B) 37

A7 Total cell, viable cell, viability % and specific growth rate

for PN=30 (Sample A) 38

A8 Total cell, viable cell, viability % and specific growth rate

for PN=30 (Sample B) 39

B Cell count inoculums density and growth phase 40

B1 Total cell, viable cell, viability % and specific growth rate

for RUN 1 40

B2 Total cell, viable cell, viability % and specific growth rate

for RUN 2 41

B3 Total cell, viable cell, viability % and specific growth rate

for RUN 3 42

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APPENDIX TITLE PAGE

B4 Total cell, viable cell, viability % and specific growth rate

for RUN 4 43

B5 Total cell, viable cell, viability % and specific growth rate

for RUN 5 44

B6 Total cell, viable cell, viability % and specific growth rate

for RUN 6 45

B7 Total cell, viable cell, viability % and specific growth rate

for RUN 7 45

B8 Total cell, viable cell, viability % and specific growth rate

for RUN 8 46

B9 Total cell, viable cell, viability % and specific growth rate

for RUN 9 46

B10 Total cell, viable cell, viability % and specific growth rate

for RUN 10 47

B11 Total cell, viable cell, viability % and specific growth rate

for RUN 11 48

B12 Total cell, viable cell, viability % and specific growth rate

for RUN 12 48

B13 Total cell, viable cell, viability % and specific growth rate

for RUN 13 49

B14 Total cell, viable cell, viability % and specific growth rate

for RUN 14 50

B15 Total cell, viable cell, viability % and specific growth rate

for RUN 15 51

B16 Total cell, viable cell, viability % and specific growth rate

for RUN 16 51

B17 Total cell, viable cell, viability % and specific growth rate

for RUN 17 52

B18 Total cell, viable cell, viability % and specific growth rate

for RUN 18 53

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APPENDIX TITLE PAGE

C ELISA result for inoculums age 54

C1 Concentration of MAb with the evolution of time and

average specific MAb production rate for PN=0 (Sample A) 54

C2 Concentration of MAb with the evolution of time and

average specific MAb production rate for PN=0 (Sample B) 55

C3

Concentration of MAb with the evolution of time and

average specific MAb production rate for PN=10 (Sample

A)

55

C4 Concentration of MAb with the evolution of time and

average specific MAb production rate for PN=10 (Sample B) 56

C5

Concentration of MAb with the evolution of time and

average specific MAb production rate for PN=20 (Sample

A)

57

C6 Concentration of MAb with the evolution of time and

average specific MAb production rate for PN=20 (Sample B) 57

C7

Concentration of MAb with the evolution of time and

average specific MAb production rate for PN=30 (Sample

A)

58

C8 Concentration of MAb with the evolution of time and

average specific MAb production rate for PN=30 (Sample B) 58

D ELISA result for inoculums density and growth phase 59

D1 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 1 59

D2 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 2 60

D3 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 3 61

D4 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 4 61

D5 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 5 62

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APPENDIX TITLE PAGE

D6 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 6 63

D7 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 7 63

D8 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 8 64

D9 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 9 64

D10 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 10 65

D11 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 11 65

D12 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 12 66

D13 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 13 66

D14 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 14 67

D15 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 15 67

D16 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 16 68

D17 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 17 68

D18 Concentration of MAb with the evolution of time and

average specific MAb production rate for RUN 18 69

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CHAPTER 1

INTRODUCTION

1.1 Background of Study

Congenital Adrenal Hyperplasia (CAH) is a family inherited disorder seen in

newborn which affecting the adrenal glands. The most common type, which occurs

with a worldwide frequency of one per 15000 live births depending on the population,

is associated with deficiency of 21-hydroxylase (21-OHD) , which is inherited in

severe or mild forms. The severe form, called Classical Congenital Adrenal

Hyperplasia, is usually detected in the newborn period or in early childhood. The

milder form, called Non-classical Congenital Adrenal Hyperplasia (NCAH), may

cause symptoms at anytime from infancy through adulthood. NCAH is a much more

common disorder than Classical CAH. Fortunately, CAH can be managed with

medication and, with adequate care; affected individuals go on to live normal lives.

CAH is an autosomal recessive genetic disorder. It affects males and females in

equal numbers. These particular groups of genes contain instructions the adrenal

glands (located on top of the kidneys) need in order to produce an enzyme called 21-

hydroxylase. Without this enzyme, the adrenal glands are unable to produce cortisol,

a hormone necessary for life.

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Cortisol is a steroid produced by the adrenal glands that our bodies need to deal

with physical and emotional stress, and maintain adequate energy supply and blood

sugar levels. The adrenal glands are controlled by the pituitary gland. The pituitary

gland is a small pea-sized gland at the base of the brain. When the pituitary gland

senses that there is not enough cortisol present in the bloodstream, it releases a

hormone called ACTH (adrenocorticotropic hormone). ACTH stimulates the

adrenals to produce more cortisol. However, those with CAH have insufficient

amounts of the enzyme 21-hydroxylase, needed to convert a precursor molecule

called 17-hydroxyprogesteron (17-OHP) into cortisol. As a result, the pituitary gland

continues to sense the need for cortisol and pump out more ACTH. This leads to an

overabundance of 17-OHP, which is converted in the adrenals into excess androgens

(masculinizing steroid hormones). Lack of adequate cortisol also prevents the body

from properly metabolizing sugar and responding to stress. The lack of this stress

response can lead to an adrenal crisis.

The measurement of 17α-hydroxyprogesterone (17OHP) in serum or plasma

is clinically useful for the diagnosis and management of congenital adrenal

hyperplasia (CAH). The conventional method used for measuring 17OHP is

conventionally based on competitive-binding radioimmunoassay or RIA (4, 5),

using polyclonal antibody and usually require solvent extraction of samples.

However, in the past decade clinics are learning more towards into using Enzyme

immunoassays (EIA) for easier mass screening of steroids in patients‟ serum or

plasma. EIA possesses several advantages over RIA. These include the avoidance of

problems associated with the use of radioisotopes, the shorter incubation period and

less work involved in the overall procedure. Additionally, immunoassay are now

increasingly based on monoclonal antibodies (MAbs) instead of antisera (polyclonal

antibodies). This is due to the fact that MAbs possess uniform characteristics, are

well defined proteins and are readily available in unlimited supplies (H. Chong et al.,

2009).

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1.2 Problem statement

Hybridoma technology which is established by Kohler and Milstein had been

used and one of the cell line (Hybridoma 192) tested successfully to produce

monoclonal antibody against Congenital Adrenal Hyperplasia (CAH) which is anti

17-hydroxyprogesteron (17-OHP).The demand for the monoclonal antibody is high

but the production or yield of monoclonal antibody by hybridoma is low. The scales-

up productions of monoclonal antibody are difficult and cause the cost of the

process becomes very expensive. Besides that, during the cell culture, hybridoma

cell have a high chance to contaminated and make the process more difficult. The

main problem in the considerations is how to optimize the production of monoclonal

antibody and second and how to ensure that the entire hybridoma cell is active and

healthy. To solve this problem, inoculums development plays important roles in the

initial stage to scale up the monoclonal antibody production.

1.3 Objectives of Study

In the course of completing this project, there are few objectives to be fulfilled.

There are

1. To check the effect of inoculums age to the production of monoclonal

antibody and cell growth. If it does affect, the maximum inoculums age that

can be used in monoclonal antibody production will be determined.

2. To check the effect of inoculums density and growth phase to the production

of monoclonal antibody and cell growth. The suitable density that can be

used in monoclonal antibody production will be determined.

1.4 Scope of Study

Based on the objective, the main scope of this project is inoculums

development in production of monoclonal antibody by hybridoma cell. The scope

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including inoculums age, inoculums density and growth phase. For inoculums age,

area that was study based on number of subcultures or passage number (30 times) of

hybridoma cells on the production of monoclonal antibody and cell growth. For

inoculums density and growth phases, the effect of different density(5x104-5x10

5

cells/ml) together with different growth phases (early log phase, mid log phase and

late log phase) of hybridoma cell on the production of monoclonal antibody and cell

growth.

1.5 Rational and Significance

Inoculums development is crucial to the initial stage of scale up the monoclonal

antibody production. Through inoculums development, we can increase the quality

of inoculums and this ensures the successful of the run during the scale-up

production. From this, we can minimize the lost of money by optimize the yield of

monoclonal antibody. The production time which is very valuable to the industry

can become shorter when the yields increase.

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CHAPTER 2

LITERATURE REVIEW

Animal cells are increasingly grown in bioreactors for the production of

vaccines and proteins. In such systems the growth and metabolic activity of cells

depends on many parameters: the chemical composition of the medium, the initial

physiological state of the cells, the physico-chemical conditions during the culture

(Griffiths, 1986).In recent years substantial quantitative data have been obtained on

the influence of the chemical composition of the medium on the kinetics of growth

and metabolism of several cell lines (Dalili and Ollis1989; and Geaugey et al.,

1989).The influence of operational parameters such as pH, dissolved oxygen,

osmotic pressure and redox potential have also been reported (Miller et al., 1988 and

1987).Little has been published , however on the inoculums development.

The handling of a microbial culture, from the time it is transferred from its

preserved state until it is inoculated into the final location where the microbial

activity of interest is expressed, is referred to as inoculums development. The

primary purpose of inoculums development is to provide microbial mass, of

predictable phenotype, at a specific time, and at a reasonable cost for the productive

stage of a microbial activity. Until now, inoculums development has been more art

than science. There remains a need especially at the shake flask or spore-generating

stages of the process, for time and „it looks good‟ criteria to be replaced with

biochemical, physiological, or morphological markers as both descriptions of an

optimum and indicators for optimum timing of inoculums transfer.

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It is essential that the culture used to inoculate a fermentation satisfies the

following criteria:

1. It must be in healthy, active state thus minimizing the length of the lag phase

in the subsequent fermentation.

2. It must be available in sufficiently large volumes to provide an inoculums of

optimum size.

3. It must be in a suitable morphological form.

4. It must be free of contamination.

5. It must retain its product-forming capabilities.

The process adopted to produce an inoculums meeting these criteria is called

inoculums development. Hockenhull is credited with the quotation “once

fermentation has been started it can be made worse but not better” (Calam, 1976).

Where this is an over-statement it does illustrate the importance of inoculums

development. Much of the variation observed in small-scale laboratory

fermentations is due to poor inocula being used, thus, it is essential to appreciate that

the establishment of an inoculums development programme is equally important

regardless of the scale of the fermentation. Such a programme not only aids

consistency on a small scale but is invaluable in scaling up the fermentation and

forms an essential part in progressing a new process (Freshney, 2005). Criteria

above that apply in microbe fermentation also apply in cell culture.They are equally

important either to cell culture or microbe fermentation.

Figure 1.1 shown the inoculums growth of hybridoma in T flasks. A T flask

is inoculated with 2X105 cells/ml harvested at the end of 48 hr of propagation. An

initial fast growth period up to 10X105 cells/ml is observed during the first 50 hr.

Cell density reaches a maximum at about 60 hr, and then slowly decreases. The first

24 hr , the cells undergo lag phase after that the log phase begin until the cell density

reach the maximum at 60 hr , and the cell undergo death phase. This is the growth

profile of a typical hybridoma cells (Martial et.al, 1990).

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Figure 2.1: Evolution with time of the viable cell density during the hybridoma T

flask culture (Martial et.al, 1990).

Several research have been done in inoculums development in hybridoma

culture, one of it is to check the influence of inoculums age on hybridoma culture.

Where the inoculums ages that used is 43hr (T1), 52hr (T2), 62hr (T3), and 71hr

(T4). They investigated in four different spinner flasks inoculated at the same initial

density of 2x105 cell/ml but with the cells having been propagated in a T flask for

the above culture durations. In Figure 1.2, they found that T1 and T2 (43 hr and 52

hr respectively) present two usual growth and death phases of a batch culture,

without any appreciable initial lag phase. On the contrast, spinners T3 and T4 (62 hr

and 71 hr respectively) exhibit an initial lag phase lasting as long as 45 hr. The

viability of the cells, which is initially around 90% for the three first spinners,

remain high during the whole growth phase and then declines during the death

phases. For the oldest inoculums, the viability remains around 70% during both the

lag and growth phases (Martial et.al, 1990).These shows that inoculums age that

used in stationary phase and death phase will cause the decrease of maximum viable

cell density, maximum specific growth rate and cell viability (%).

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Figure 2.2: Evolution with time of the viable cell density (a) and the viability (b)

for hybridoma cultures in spinner flasks with different inoculums ages (T1:43 hr;

T2:52 hr; T3:62 hr; T4:71 hr) (Martial et.al, 1990).

Figure 1.3 shows the different inoculums age on production of MAb.

Although the figure shows that when the inoculums age increase, the production of

MAb decrease in the early stage and no antibodies are produced during lag phase

especially in T4 but the final antibody levels are essentially the same. Since less

cells are produced starting from an old inoculums, they conclude that these cells

have a higher specific production rate of antibodies (Martial et.al, 1990).

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Figure 2.3: Kinetics of monoclonal antibodies production for hybridoma cultures in

spinner flasks with different inoculums ages (T1:43 hr; T2:52 hr; T3:62 hr; T4:71 hr)

(Martial et.al, 1990).

For the effect of initial density on hybridoma growth and monoclonoal

antibody production which done by Ozturk and Palson (1990), the range of density

used is102 to 10

5 cells/ml. They cultured the murine hybridoma, 167.4G5.3 in 75

cm2

plastic T-flasks with different inoculums density and serum concentration (1.25,

2.5, 5, and 10% v/v). Figure 1.4, shows the maximum viable cell concentrations and

maximum IgG antibody concentration for hybridoma culture in Iscove‟s Modified

Dulbecco‟s Medium (IMDM) supplemented with different serum concentration at

different initial cell densities. In this figure, it shows that increase the initial cell

density will increase the maximum viable cells and also maximum antibody

concentration.

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Figure 2.4: (A) Maximum cell and (B) maximum IgG concentrations for hybridoma

cell line 167.4G5.3 in cultures with different serum levels and with different initial

cell densities (Ozturk and Palsson, 1990).

Monoclonal antibody concentration increased gradually in all the batches

following the viable cell count. More antibodies were produced for the cultures with

higher serum and higher initial cell concentrations. Antibody production continued

into the decline phase of growth. From the Figure 1.4 (B), a ten-fold increase in

inoculums size resulted in only a two-fold increase in final antibody concentration.

From this research, Ozturk and Palson concluded that the maximum viable cell

antibody concentrations are determined by inoculums sized. The changes in

antibody concentration were due to changes in cell concentration as the specific

antibody production rate was not altered (Ozturk and Palsson, 1990).

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CHAPTER 3

METHODOLOGY

3.1 Basal Medium

Around 70 to 80% of 1 L ultrapure water was poured into a 2L beaker. 13.4

grams of Dulbecco‟s Modified Eagle Medium (D5648, Sigma-Aldrich) was

dissolved slowly with gentle stirring by magnetic stirrer. The residue in the weighing

boat was rinsed with little ultrapure water. The solution was stirred for at least 30

minutes. 3.7 g of sodium bicarbonate (S5761, Sigma-Aldrich) was then added and

allowed to mix for 10 minutes. 1 g of pluronic F-68 (P1300, Sigma-Aldrich) was also

added and mixed for further 10 minutes. The volume of the solution was brought to 1

liter by adding the remainder ultrapure water. The pH was adjusted to 7.2 by using

0.1N hydrochloric acid. The solution was mixed for another 30 minutes. 17.28µM

sodium selenite, 4.47µM zinc sulfate and 25.6µM ferric citrate were then added to

the solution. The solution was mixed and sterile filtered with 0.22µm

polyethersulfone (PES) membrane filter (F-99505, TPP) into the 1L of Scott bottle

by using vacuum pump. The filtered medium (basal medium) was kept in the chiller

(4˚C) for a maximum of 2 months.

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3.2 Complete Medium

To prepare 400 ml complete medium for cell culture, 1.6 ml of fetal bovine

serum (10091-148, GIBCO), 4 mM L-glutamine (non-animal source, G8540,

Sigma-Aldrich), and 4 ml of antibiotic-antimycotic (15240-062, GIBCO; 1×) were

added to a sterile 500ml Scott bottle. Basal medium was then added until the volume

reach 400 ml. The complete medium was kept in the chiller (4˚C) for a maximum of

2 weeks.

3.3 Thawed Cell

Cells were thawed by warming a vial of cells in the water bath (35˚C) for a

maximum of 1 min or until it is partially melt, immediately after removing from the

-80C freezer. Thawed cells were quickly diluted into a 25 ml warm complete

medium. The cells were centrifuged (Eppendorf, Germany) at 120g for 5 minutes at

4˚C. After centrifugation, the supernatant was discarded and the cells were

resuspended with 25 ml fresh medium. The cells were then transfered to a T-75

tissue culture flask and incubated in a humidified CO2 incubator (Shel Lab, United

State) at 5% CO2 and 37C.

3.4 Cell Count

Before cell count, the tissue culture flask was tapped to dislocate and mix all

the cells evenly. Hemocyctometer slide and the coverslip were cleaned with the 70%

ethanol. Kimwipe paper was used to wipe the hemocyctometer slide and cover slip.

The cell sample was mixed and 20µl sample was transferred to a 0.5 ml centrifuge

tube. Twenty µl trypan blue dye (for a dilution factor of 2×) was transferred to the

tube and mix with the sample. Ten µl of this mixture was transferred to the edge of

the hemocytometer chamber. The cell suspension was drawn under the coverslip by

capillary action. This was repeated for the other chamber. The hemocytometer was