Lipopolysaccharide Induces The Production Of Diagnostic Monoclonal Antibody By Hybridoma Cells Against Congenital Adrenal Hyperplasia

Chua, Gek Kee and Nur Anis, Mohamad Ariff (2017) Lipopolysaccharide Induces The Production Of Diagnostic Monoclonal Antibody By Hybridoma Cells Against Congenital Adrenal Hyperplasia. Journal of Engineering Science and Technology, 12 (11). pp. 2939-2951. ISSN 1823-4690. (Published)

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Abstract

The purpose of this research is to screen and identify the potential inducers in maximizing the production of monoclonal antibody by hybridoma 192 cell line for Congenital Adrenal Hyperplasia diagnostic. There are nine inducers used in this research, namely lysozyme, aldolase, sodium butyrate, sodium phosphate, potassium phosphate, dimethyl sulfoxide, lipopolysaccharide, essential amino acids, and nonessential amino acids. Hybridoma 192 cell was cultured in 5% CO2 incubator at 37°C and ˃80% humidity in the medium with different concentrations of inducer agents. The inducers were added at the beginning of the culture and the samples were taken after 72 h of culture. The performance of these inducer agents was assessed based on the maximum monoclonal antibody titer achieved using Enzyme-linked Immunosorbent Assay. Lipopolysaccharide was found to increase the maximum monoclonal antibody titer when supplemented at 8 to 12 µg/mL. After optimization using one-factor central composite design at this range, the optimum point was determined to be 8 µg/mL. Verification experiments show that lipopolysaccharide enhanced the average specific monoclonal antibody production rate by 56% relative to control. In conclusion, lipopolysaccharide at 8 µg/mL is able to increase the monoclonal antibody specific production of hybridoma 192 cell line.

Item Type: Article
Uncontrolled Keywords: Lipopolysaccharide, Inducer agent, Monoclonal antibody, Hybridoma, Congenital adrenal hyperplasia
Subjects: Q Science > Q Science (General)
T Technology > T Technology (General)
Faculty/Division: Faculty of Chemical & Natural Resources Engineering
Depositing User: Dr. Chua@Yeo Gek Kee
Date Deposited: 06 Dec 2017 08:03
Last Modified: 02 May 2018 04:02
URI: http://umpir.ump.edu.my/id/eprint/19264
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