Optimization of a single-chain antibody fragment overexpression in Escherichia coli using response surface methodology

(2015) Optimization of a single-chain antibody fragment overexpression in Escherichia coli using response surface methodology. Research in Pharmaceutical Sciences. pp. 75-83. ISSN 1735-5362

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Abstract

Human epidermal growth factor receptor (HER) family plays an important role in various types of cancers. As a result, antibodies against HER and the mechanism of antigen-antibody binding action are under active investigation. We previously constructed a single-chain variable fragment (ScFv) against HER2, i.e. anti-Her2 ScFv, for expressing in the Escherichia coli. In the present study, we report the optimization of anti-Her2 ScFv expression in an E. coli host of BL21 (DE3) pLysS using response surface methodology based on tuning of three cultivation variables, including isopropyl-beta-D-thiogalactopyranoside (IPTG) concentration, temperature and post-induction time. A model for protein expression according to the Box-Behnken design predicted a maximal anti-Her2 ScFv expression at 37 degrees C, a post-induction time of 10.45 h and 0.75 mM IPTG. In addition, strategies based on inclusion body isolation and affinity chromatography were applied to purify anti-Her2 ScFv. The purity of the final product for inclusion bodies isolation and purification by Ni-NTA resin were 70 and 95 , respectively. The solubilization of the inclusion bodies was carried out using two denaturant agents, guanidine hydrochloride and urea. The present study showed that guanidine hydrochloride was more effective than urea in solubilizing the inclusion bodies.

Item Type: Article
Keywords: response surface methodology escherichia coli single-chain variable fragment (scfv) antibody human epidermal growth factor receptor (her) at-a-time inclusion-bodies expression systems tumor penetration design protein bacterial fv biotechnology strain
Page Range: pp. 75-83
Journal or Publication Title: Research in Pharmaceutical Sciences
Journal Index: ISI
Volume: 10
Number: 1
ISSN: 1735-5362
Depositing User: مهندس مهدی شریفی
URI: http://eprints.mui.ac.ir/id/eprint/5223

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