Literature DB >> 16489627

Functional proteomic analysis of GS-NS0 murine myeloma cell lines with varying recombinant monoclonal antibody production rate.

Diane M Dinnis1, Scott H Stansfield, Stefan Schlatter, C Mark Smales, Daniel Alete, John R Birch, Andrew J Racher, Carol T Marshall, Lars K Nielsen, David C James.   

Abstract

We previously compared changes in individual protein abundance between the proteomes of GS-NS0 cell lines with varying rates of cell-specific recombinant monoclonal antibody production (qMab). Here we extend analyses of our proteomic dataset to statistically determine if particular cell lines have distinct functional capabilities that facilitate production of secreted recombinant Mab. We categorized 79 proteins identified by mass spectrometry according to their biological function or location in the cell and statistically compared the relative abundance of proteins in each category between GS-NS0 cell lines with varying qMab. We found that the relative abundance of proteins in ER chaperone, non-ER chaperone, cytoskeletal, cell signaling, metabolic, and mitochondrial categories were significantly increased with qMab. As the GS-NS0 cell line with highest qMab also had an increased intracellular abundance of unassembled Mab heavy chain (HC), we tested the hypothesis that the increased ER chaperone content was caused by induction of an unfolded protein response (UPR) signaling pathway. Immunoblot analyses revealed that spliced X-box binding protein 1 (XBP1), a marker for UPR induction, was not detectable in the GS-NS0 cells with elevated qMab, although it was induced by chemical inhibitors of protein folding. These data suggest that qMab is functionally related to the abundance of specific categories of proteins that together facilitate recombinant protein production. We infer that individual cells within parental populations are more functionally equipped for high-level recombinant protein production than others and that this bias could be used to select cells that are more likely to achieve high qMab. (c) 2006 Wiley Periodicals, Inc.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16489627     DOI: 10.1002/bit.20899

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  10 in total

1.  Proteomic profiling of recombinant cells from large-scale mammalian cell culture processes.

Authors:  Paula Meleady
Journal:  Cytotechnology       Date:  2007-02-24       Impact factor: 2.058

2.  Using cell engineering and omic tools for the improvement of cell culture processes.

Authors:  Darrin Kuystermans; Britta Krampe; Halina Swiderek; Mohamed Al-Rubeai
Journal:  Cytotechnology       Date:  2007-02-24       Impact factor: 2.058

3.  Identifying radiation exposure biomarkers from mouse blood transcriptome.

Authors:  Daniel R Hyduke; Evagelia C Laiakis; Heng-Hong Li; Albert J Fornace
Journal:  Int J Bioinform Res Appl       Date:  2013

4.  A multi-omics analysis of recombinant protein production in Hek293 cells.

Authors:  Stefanie Dietmair; Mark P Hodson; Lake-Ee Quek; Nicholas E Timmins; Peter Gray; Lars K Nielsen
Journal:  PLoS One       Date:  2012-08-24       Impact factor: 3.240

5.  Modulation of phosducin-like protein 3 (PhLP3) levels promotes cytoskeletal remodelling in a MAPK and RhoA-dependent manner.

Authors:  Nandini V L Hayes; Lyne Jossé; C Mark Smales; Martin J Carden
Journal:  PLoS One       Date:  2011-12-09       Impact factor: 3.240

6.  Analyzing clonal variation of monoclonal antibody-producing CHO cell lines using an in silico metabolomic platform.

Authors:  Atefeh Ghorbaniaghdam; Jingkui Chen; Olivier Henry; Mario Jolicoeur
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

7.  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

8.  Comprehensive genome and epigenome characterization of CHO cells in response to evolutionary pressures and over time.

Authors:  Julia Feichtinger; Inmaculada Hernández; Christoph Fischer; Michael Hanscho; Norbert Auer; Matthias Hackl; Vaibhav Jadhav; Martina Baumann; Peter M Krempl; Christian Schmidl; Matthias Farlik; Michael Schuster; Angelika Merkel; Andreas Sommer; Simon Heath; Daniel Rico; Christoph Bock; Gerhard G Thallinger; Nicole Borth
Journal:  Biotechnol Bioeng       Date:  2016-04-29       Impact factor: 4.530

9.  Influence of cytoskeleton organization on recombinant protein expression by CHO cells.

Authors:  Lucille Pourcel; Flavien Buron; Ghislaine Arib; Valérie Le Fourn; Alexandre Regamey; Iris Bodenmann; Pierre-Alain Girod; Nicolas Mermod
Journal:  Biotechnol Bioeng       Date:  2020-02-23       Impact factor: 4.530

10.  Methylthioadenosine (MTA) boosts cell-specific productivities of Chinese hamster ovary cultures: dosage effects on proliferation, cell cycle and gene expression.

Authors:  Natascha Verhagen; Julia Zieringer; Ralf Takors
Journal:  FEBS Open Bio       Date:  2020-11-11       Impact factor: 2.693

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.