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Research Article
 

Monoclonal Antibody Production: Media Optimization for Enhancement the Cell Viability of Hybridoma Cell



Maizirwan Mel, Maizura Mat Saad, Yumi Zuhanis Hasyun Hashim and Mohamad Ramlan Mohamed Salleh
 
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ABSTRACT

Media optimization of RC1 hybridoma cell culture for monoclonal antibody production was carried out in T-Flask experiment. The three identified important variables to affect the cell viability were studied. By using Central Composite Design of Response Surface Methodology (STATISTICA v 6.1) has shown that cell viability was mainly affected by glutamine, serum and NaCO3 concentration, respectively. Among the 16 runs tested, Run 11 indicated the best viability of the cell (>80% for five days). The critical values were obtained at 13.5, 1.68 and 0.87% for serum, glutamine and NaCO3, respectively. These data were very significant where the p-values obtained for glutamine, serum and NaCO3 were 0.000069, 0.003968 and 0.342151 (R2 = 0.95476 and R Adj. = 0.88691), respectively.

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  How to cite this article:

Maizirwan Mel, Maizura Mat Saad, Yumi Zuhanis Hasyun Hashim and Mohamad Ramlan Mohamed Salleh, 2008. Monoclonal Antibody Production: Media Optimization for Enhancement the Cell Viability of Hybridoma Cell. Asian Journal of Scientific Research, 1: 525-531.

DOI: 10.3923/ajsr.2008.525.531

URL: https://scialert.net/abstract/?doi=ajsr.2008.525.531
 

INTRODUCTION

Antibody is a protein, synthesized and secreted by B-lymphocytes (B-cell) that bind to antigens. Antibody is members of a family of molecules (the immunoglobulin that constitute the humeral branch of the immune system) and form approximately 20% of the plasma proteins in humans. Different populations of immunoglobulin are found on the surface of lymphocytes, in exocrine secretions and in extravascular fluids (Pharmacia Biotech, 2000).

Monoclonal Antibody (MAb) is antibody that binds only to a specific antigen that compatible to its binding site (Xiao et al., 2005). Thus, in MAb production, there is no need for further purification in order to get the desired antibody as has been done for polyclonal antibody. MAb has become indispensable tools in research, diagnostics and therapeutics. They have gradually replaced the polyclonal antibodies since hybridoma technology was introduced (Zola, 2000).

The growth rate of mammalian cells (hybridoma cells) containing the antibody varies depending on the cell type, medium composition including the growth factors and other environmental conditions such as dissolved oxygen, carbon dioxide levels, pH and ionic strength (Butler, 1996; Constantino et al., 1995; Jung et al., 1992; Lee et al., 1991). Moreover, it is understood that the specific growth rate (μ) in hybridoma cells cultures starts to decline from the maximum level at 20 h of cultivation and continuously doing so until the growth eventually ceases (Doyle and Griffiths, 1998). Many studies had been conducted to optimize those parameters in optimizing the production of MAb (Satoshi et al., 2005; Heilmann et al., 2005; Lorea et al., 2005; Guez et al., 2004; Tibor et al., 2004; Ralf and Thomas, 1996).

The main problem in producing MAb is cell apoptosis. Media optimization provides a way to reduce the chance of apoptosis and at the same time increase the hybridoma cell viability (Pakkanen and Neutra, 1994; Stoll et al., 1996). In this study, we had tried to optimize the media components of the RC1 hybridoma cells cultures not only to enhance the cells viability but also improve the production of MAb, using the Central Composite Design (CCD) method.

MATERIALS AND METHODS

Design of Experiment (DOE)
Experiment was conducted at Animal Cell Engineering Laboratory of IIUM and was designed by Response Surface Methodology (RSM) using a STATISTICA Software (Statsoft, 2001). RSM is a set of techniques designed to find the best value of response.

Cell Line
RC1 Hybridoma cell, a monoclonal antibody (IgG)-secreting cell line was purchased from Japanese Cell Culture Stock and had been used in this study.

Media Preparation and Optimization
RPMI media in liquid form was used for this optimization process. Formulation of media was first checked in order to determine the other component which is required. The RPMI media without L-glutamine was used and the three other components were added. The media was then taken into hood with any other supplement or addition that was required. The bottle was swabbed with 70% alcohol before uncap. For media optimization, 10 mL medium was prepared for 10 cm2 T-flask used. Design of experiment was first done using STATISTICA to get the simulated value required for each variable of the 16 Runs.

The percentage of serum, sodium bicarbonate and L-glutamine needed to be added into each Run was designed as in Table 1. They were added according to the percentage volume of a total volume. Serum was added after the pH of media was adjusted to 7.2 and the media was then filtered.

Maintenance of Established Cell
The culture was examined carefully for any signs of contamination or deterioration. The cell was suspended carefully to homogenize the cell suspension. Five to seven milliliters medium was then removed and discarded according to the need. Fresh medium was added up to 10-20 mL. The cell was dispersed into a single cell suspension by repeated pipetting. Volume was then maintained or split into two flask. The flask was then capped and stored in CO2 incubator.

Table 1: Design of experiments of serum, sodium bicarbonate and L-glutamine
Image for - Monoclonal Antibody Production: Media Optimization for Enhancement the Cell Viability of Hybridoma Cell

Cell Cultivation
All equipment such as 10 cm2 T-flask, pipette, required media and inoculum were taken into hood. Nine milliliters media was transferred into a labeled T-flask using pipette. One milliliter of the inoculum was then taken and transferred into the T-flask making the volume in the T-flask became 10 mL. The fresh media and the inoculum were suspended in order to mix them well and then were incubated in 5% CO2 incubator at 37 °C. The cells were counted and their viability was determined by the trypan blue dye exclusion test. The counting result was then recorded for reference purpose.

Sampling
T-flask was put directly in hood from CO2 incubator. Cap of T-flask was removed and it was held in the same hand that holds T-flask. Inoculum in T-flask was suspended aseptically in hood for 1-2 min to homogenize the hybridoma cell. Then, about 3 mL of cell was taken out using pipette into the centrifuge tube. About 10 μL of the cell in centrifuge tube was taken for cell counting. The rest of the cell in the centrifuge tube was centrifuged at 1000 rpm, 27 °C for 10 min. The supernatant was collected for biochemical analysis.

RESULTS AND DISCUSSION

Media Optimization Result
All readings of the cell viability and the total cell number taken from the 16 T-flask on day 4 were entered into the STATISTICA software because most of the runs reach the highest cell viability in day 4 (data not shown). All measured readings were first transferred into based 10 values as shown in Table 2. The screen parameter is in percentage value.

From Analysis of Variance (ANOVA), it can be said that L-glutamine and serum were the main factors affecting the growth of hybridoma cell. The result was very significant since the p-value obtained for serum and L-glutamine was very small (0.003964 and 0.000069, respectively). From these values, it can be concluded that L-glutamine was a main factor that increased the viability of the hybridoma cell, followed by the serum (Table 3).

Table 2: Result from T-flask optimization
Image for - Monoclonal Antibody Production: Media Optimization for Enhancement the Cell Viability of Hybridoma Cell

Table 3: Critical value among the growth factors
Image for - Monoclonal Antibody Production: Media Optimization for Enhancement the Cell Viability of Hybridoma Cell

Image for - Monoclonal Antibody Production: Media Optimization for Enhancement the Cell Viability of Hybridoma Cell
Fig. 1: Correlation between L-glutamine and serum on cell viability

Thus, the interaction between serum and L-glutamine in affecting the viability needs further clarification. It can be said that cell viability will increase as the percentage of both serum and L-glutamine increased. However, L-glutamine had influenced more than serum in increasing the cell viability. For example, when 14% serum was added in the RPMI media, cell viability would only increase when L-glutamine was added. Thus, the more serum added into the media, the more L-glutamine needs to be added in order to get higher cell viability (Fig. 1).

As shown in Fig. 2, cell viability increased as the percentage of serum increased. However, the addition of more NaHCO3 does not affect the cell viability. For example, when adding 8% serum into RPMI media, the increase in the percentage of NaHCO3 would only slightly increase the cell viability. This indicates that serum plays more important role to boost cell viability compared to NaHCO3.

In Fig. 3, it can be observed that the cell viability increased as the percentage of L-glutamine increased. The NaHCO3, however, does not affect the cell viability. For example when 1% of sodium bicarbonate was added into the RPMI media, cell viability has increased as the percentage of L-glutamine increased. However, when 1% L-glutamine was added into the media, there was no effect on cell viability even though there was an increasing in the percentage of NaHCO3. The influence of L-glutamine on the cell viability was superior compared to that of the NaHCO3.

Image for - Monoclonal Antibody Production: Media Optimization for Enhancement the Cell Viability of Hybridoma Cell
Fig. 2: Correlation between NaHCO3 and serum on cell viability

Image for - Monoclonal Antibody Production: Media Optimization for Enhancement the Cell Viability of Hybridoma Cell
Fig. 3: Correlation between NaHCO3 and L-glutamine on cell viability

Image for - Monoclonal Antibody Production: Media Optimization for Enhancement the Cell Viability of Hybridoma Cell
Fig. 4: Pareto chart of relatively importance correlation between independent screened parameters

Alternatively, STATISTICA had also provided the relatively importance correlation between the independent screened parameters in this research, which were serum, L-glutamine and NaHCO3 by the Pareto chart (Fig. 4). This chart identified the most significant parameter to the dependent variable, in the case of this study, cell viability. The chart had also clearly showed that the L-glutamine was the most important component that influenced the hybridoma cell viability followed by serum and then combination between glutamine and serum.

At this point, it can be said that the main component that contribute most to the high hybridoma cell viability was L-glutamine. It has the largest effect (shown by p-value less than 0.05) on the increment of hybridoma cell viability.

Optimized Value of Serum, NaHCO3 and L-glutamine
From the measured value of viability that was entered, STATISTICA gave critical value which is also called optimized value in percentage of serum, L-glutamine and NaHCO3 (Fig. 4). It can clearly be seen that high percentage of serum was needed to get high cell viability where 13.5% serum was required compared to the need of only 1.68% of L-glutamine and 0.87% of NaHCO3. This optimized value then can be used for the inoculation of the cell in a bigger bioreactor.

CONCLUSION

While many commercially available cell culture media exist, none are able to meet the specific requirements of every cell line. Optimization provides a way to increase the hybridoma cell viability which at the same time increases the production of MAb. Moreover, the addition of media component such as serum, L-glutamine and NaHCO3 must be at sufficient amount in order to reduce the production cost.

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