Literature DB >> 28802644

Rapid characterization of the CHO platform cell line and identification of pseudo attP sites for PhiC31 integrase.

Narges Damavandi1, Mozhgan Raigani2, Atefeh Joudaki3, Fatemeh Davami4, Sirous Zeinali1.   

Abstract

The Chinese Hamster Ovary (CHO) cell lines, applicable to post-translational modifications, are preferred systems for biopharmaceutical protein production. In this study, by using the Jump-In™ TI™ technology which employs PhiC31 and R4 bacteriophage recombinases, a platform CHO-K1 cell line containing a R4-attP site was generated. Here, a combination of Quantitative Fluorescent-Polymerase Chain Reaction (QF-PCR) and semi-random, two-step PCR (ST-PCR), was performed to feature the platform cell clones. Our results show that QF-PCR and ST-PCR, can be utilized for efficient and accelerated cell line characterization. By applying these approaches, we were able to accurately identify the copy number of integrated R4-attP sites and the genomic position of recombination of many clones. Three novel PhiC31 pseudo-attP sites were identified on chromosomes 1, 3 and 6, and their genomic features were analyzed. The characterized platform cell lines are stable, and because of single-copy, site-specific R4 recognition attP site, the cell lines could be retargeted for recombinant protein production and drug discovery applications.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chinese Hamster Ovary; Phic31 integrase; Platform cell line; Pseudo-attP site; Quantitive fluorescent polymerase chain reaction; Semi-random two-step polymerase chain reaction; Site-specific integration

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Year:  2017        PMID: 28802644     DOI: 10.1016/j.pep.2017.08.002

Source DB:  PubMed          Journal:  Protein Expr Purif        ISSN: 1046-5928            Impact factor:   1.650


  1 in total

1.  ФC31 Integrase-Mediated Isolation and Characterization of Novel Safe Harbors for Transgene Expression in the Pig Genome.

Authors:  Yanzhen Bi; Zaidong Hua; Hongyan Ren; Liping Zhang; Hongwei Xiao; Ximei Liu; Wenjun Hua; Shuqi Mei; Adrian Molenaar; Götz Laible; Xinmin Zheng
Journal:  Int J Mol Sci       Date:  2018-01-04       Impact factor: 5.923

  1 in total

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