Literature DB >> 15459912

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

C M Smales1, D M Dinnis, S H Stansfield, D Alete, E A Sage, J R Birch, A J Racher, C T Marshall, D C James.   

Abstract

We have employed an inverse engineering strategy based on quantitative proteome analysis to identify changes in intracellular protein abundance that correlate with increased specific recombinant monoclonal antibody production (qMab) by engineered murine myeloma (NS0) cells. Four homogeneous NS0 cell lines differing in qMab were isolated from a pool of primary transfectants. The proteome of each stably transfected cell line was analyzed at mid-exponential growth phase by two-dimensional gel electrophoresis (2D-PAGE) and individual protein spot volume data derived from digitized gel images were compared statistically. To identify changes in protein abundance associated with qMab datasets were screened for proteins that exhibited either a linear correlation with cell line qMab or a conserved change in abundance specific only to the cell line with highest qMab. Several proteins with altered abundance were identified by mass spectrometry. Proteins exhibiting a significant increase in abundance with increasing qMab included molecular chaperones known to interact directly with nascent immunoglobulins during their folding and assembly (e.g., BiP, endoplasmin, protein disulfide isomerase). 2D-PAGE analysis showed that in all cell lines Mab light chain was more abundant than heavy chain, indicating that this is a likely prerequisite for efficient Mab production. In summary, these data reveal both the adaptive responses and molecular mechanisms enabling mammalian cells in culture to achieve high-level recombinant monoclonal antibody production. (c) 2004 Wiley Periodicals, Inc

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15459912     DOI: 10.1002/bit.20272

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


  26 in total

1.  Transcriptional profiling of gene expression changes in a PACE-transfected CHO DUKX cell line secreting high levels of rhBMP-2.

Authors:  Padraig Doolan; Mark Melville; Patrick Gammell; Martin Sinacore; Paula Meleady; Kevin McCarthy; Linda Francullo; Mark Leonard; Timothy Charlebois; Martin Clynes
Journal:  Mol Biotechnol       Date:  2008-02-01       Impact factor: 2.695

2.  Metabolic rates, growth phase, and mRNA levels influence cell-specific antibody production levels from in vitro-cultured mammalian cells at sub-physiological temperatures.

Authors:  Rosalyn J Marchant; Mohamed B Al-Fageeh; Michele F Underhill; Andrew J Racher; C Mark Smales
Journal:  Mol Biotechnol       Date:  2008-02-06       Impact factor: 2.695

3.  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

4.  Targeted genetic modification of cell lines for recombinant protein production.

Authors:  Niall Barron; Olga Piskareva; Mohan Muniyappa
Journal:  Cytotechnology       Date:  2007-02-28       Impact factor: 2.058

5.  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

6.  The cold-shock response in mammalian cells: investigating the HeLa cell cold-shock proteome.

Authors:  Michèle F Underhill; C Mark Smales
Journal:  Cytotechnology       Date:  2007-02-23       Impact factor: 2.058

7.  Toward genomic cell culture engineering.

Authors:  Katie F Wlaschin; Gargi Seth; Wei-Shou Hu
Journal:  Cytotechnology       Date:  2006-07-25       Impact factor: 2.058

8.  Expression of human coagulation factor VIII in a human hybrid cell line, HKB11.

Authors:  Baisong Mei; Yaoqi Chen; Jianmin Chen; Clark Q Pan; John E Murphy
Journal:  Mol Biotechnol       Date:  2006-10       Impact factor: 2.695

9.  Toward more efficient protein expression: keep the message simple.

Authors:  Stephan Kalwy; James Rance; Robert Young
Journal:  Mol Biotechnol       Date:  2006-10       Impact factor: 2.695

10.  A proteomic study of cMyc improvement of CHO culture.

Authors:  Darrin Kuystermans; Michael J Dunn; Mohamed Al-Rubeai
Journal:  BMC Biotechnol       Date:  2010-03-22       Impact factor: 2.563

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.