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Improving Pertuzumab production by gene optimization and proper signal peptide selection.

Authors :
Ramezani A
Mahmoudi Maymand E
Yazdanpanah-Samani M
Hosseini A
Toghraie FS
Ghaderi A
Source :
Protein expression and purification [Protein Expr Purif] 2017 Jul; Vol. 135, pp. 24-32. Date of Electronic Publication: 2017 May 03.
Publication Year :
2017

Abstract

Using proper signal peptide and codon optimization are important factors that must be considered when designing the vector to increase protein expression in Chinese Hamster Ovary (CHO) cells. The aim of the present study is to investigate how to enhance Pertuzumab production through heavy and light chain coding gene optimization and proper signal peptide selection. First, CHO-K1 cells were transiently transfected with whole-antibody-gene-optimized, variable-regions-optimized and non-optimized constructs and then we employed five different signal peptides to improve the secretion efficiency of Pertuzumab. Compared to the native antibody gene, a 3.8 fold increase in Pertuzumab production rate was achieved with the whole heavy and light chain sequence optimization. Although an overall two fold increase in monoclonal antibody production was achieved by human albumin signal peptide compared to the control signal peptide, this overproduction was not statistically significant. Selected signal peptides had no effect on the binding of Pertuzumab to the ErbB2 antigen. The combined data indicate that human albumin signal peptide along with whole antibody sequence optimization can be used to improve Pertuzumab production rates. This sequence was used to produce Pertuzumab producing CHO-K1 stably transfected cells. This result is useful for producing Pertuzumab as a biosimilar drug.<br /> (Copyright © 2017 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1096-0279
Volume :
135
Database :
MEDLINE
Journal :
Protein expression and purification
Publication Type :
Academic Journal
Accession number :
28476488
Full Text :
https://doi.org/10.1016/j.pep.2017.04.013