Literature DB >> 20623584

Strategies for selecting recombinant CHO cell lines for cGMP manufacturing: improving the efficiency of cell line generation.

Alison J Porter1, Andrew J Racher, Richard Preziosi, Alan J Dickson.   

Abstract

Transfectants with a wide range of cellular phenotypes are obtained during the process of cell line generation. For the successful manufacture of a therapeutic protein, a means is required to identify a cell line with desirable growth and productivity characteristics from this phenotypically wide-ranging transfectant population. This identification process is on the critical path for first-in-human studies. We have stringently examined a typical selection strategy used to isolate cell lines suitable for cGMP manufacturing. One-hundred and seventy-five transfectants were evaluated as they progressed through the different assessment stages of the selection strategy. High producing cell lines, suitable for cGMP manufacturing, were identified. However, our analyses showed that the frequency of isolation of the highest producing cell lines was low and that ranking positions were not consistent between each assessment stage, suggesting that there is potential to improve upon the strategy. Attempts to increase the frequency of isolation of the 10 highest producing cell lines, by in silico analysis of alternative selection strategies, were unsuccessful. We identified alternative strategies with similar predictive capabilities to the typical selection strategy. One alternate strategy required fewer cell lines to be progressed at the assessment stages but the stochastic nature of the models means that cell line numbers are likely to change between programs. In summary, our studies illuminate the potential for improvement to this and future selection strategies, based around use of assessments that are more informative or that reduce variance, paving the way to improved efficiency of generation of manufacturing cell lines.
© 2010 American Institute of Chemical Engineers

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Year:  2010        PMID: 20623584     DOI: 10.1002/btpr.443

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  6 in total

1.  Early integration of Design of Experiment (DOE) and multivariate statistics identifies feeding regimens suitable for CHO cell line development and screening.

Authors:  Alessandro Mora; Bernard Nabiswa; Yuanyuan Duan; Sheng Zhang; Gerald Carson; Seongkyu Yoon
Journal:  Cytotechnology       Date:  2019-11-09       Impact factor: 2.058

2.  mTORC1 signalling and eIF4E/4E-BP1 translation initiation factor stoichiometry influence recombinant protein productivity from GS-CHOK1 cells.

Authors:  Lyne Jossé; Jianling Xie; Christopher G Proud; C Mark Smales
Journal:  Biochem J       Date:  2016-10-19       Impact factor: 3.857

3.  Comprehensive characterization of glutamine synthetase-mediated selection for the establishment of recombinant CHO cells producing monoclonal antibodies.

Authors:  Soo Min Noh; Seunghyeon Shin; Gyun Min Lee
Journal:  Sci Rep       Date:  2018-03-29       Impact factor: 4.379

4.  Screening and selection strategy for the establishment of biosimilar to trastuzumab-expressing CHO-K1 cell lines.

Authors:  Thailin Lao-Gonzalez; Alexi Bueno-Soler; Arnelys Duran-Hernandez; Katya Sosa-Aguiar; Luis Eduardo Hinojosa-Puerta; Tays Hernandez-Garcia; Kathya Rashida de la Luz-Hernandez; Julio Palacios-Oliva; Tammy Boggiano-Ayo
Journal:  AMB Express       Date:  2021-01-03       Impact factor: 3.298

5.  Experimental and in silico modelling analyses of the gene expression pathway for recombinant antibody and by-product production in NS0 cell lines.

Authors:  Emma J Mead; Lesley M Chiverton; Sarah K Spurgeon; Elaine B Martin; Gary A Montague; C Mark Smales; Tobias von der Haar
Journal:  PLoS One       Date:  2012-10-10       Impact factor: 3.240

Review 6.  CHO microRNA engineering is growing up: recent successes and future challenges.

Authors:  Vaibhav Jadhav; Matthias Hackl; Aliaksandr Druz; Smriti Shridhar; Cheng-Yu Chung; Kelley M Heffner; David P Kreil; Mike Betenbaugh; Joseph Shiloach; Niall Barron; Johannes Grillari; Nicole Borth
Journal:  Biotechnol Adv       Date:  2013-08-02       Impact factor: 14.227

  6 in total

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