Cited by 119Viral Infectious Diseases and Gene Expression in InsectsMonoclonal and Polyclonal Antibodies ResearchProtein purification and stability

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

Smales, C.M., Dinnis, D.M., Stansfield, S.H., Alete, D., Sage, E.A., Birch, J.R., Racher, A.J., Marshall, C.T. +1 more·2004·Biotechnology and Bioengineering

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 (q Mab) by engineered murine myeloma (NS0) cells. Four homogeneous NS0 cell lines differing in q Mab 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 q Mab datasets were screened for proteins that exhibited either a linear correlation with cell line q Mab or a conserved change in abundance specific only to the cell line with highest q Mab. Several proteins with altered abundance were identified by mass spectrometry. Proteins exhibiting a significant increase in abundance with increasing q Mab 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. © 2004 Wiley Periodicals, Inc.

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Crossref · 10.1002/bit.20272

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  • PDI overexpression has shown positive results on productivity in the case of monoclonal antibodies in both CHO cells and NS0 cells.

    “Its overexpression has shown positive results on productivity in the case of monoclonal antibodies in both CHO cells and NS0 cells (Smales et al., 2004;Mohan et al., 2007).”

    From Therapeutic glycoprotein production in mammalian cells (2017) · cites this paper as Smales et al., 2004

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Authors
Smales, C. M., Dinnis, D. M., Stansfield, S. H., Alete, D., Sage, E. A., Birch, J. R., Racher, A. J., Marshall, C. T., & James, D. C.
Affiliations
  • University of Kent (GB)
  • The University of Queensland (AU)
  • Lonza (United Kingdom) (GB)
  • GlaxoSmithKline (United Kingdom) (GB)
Corresponding author
James, D.C.
Venue
Biotechnology and Bioengineering
Publisher
Wiley
Published
2004-09-30
Volume
88
Issue
4
Pages
474-488
ISSN
  • 0006-3592 (ISSN-L)
  • 1097-0290
OpenAlex
W4231639351
Cited by
119
References
1
Citations by year
2025: 2 · 2024: 1 · 2023: 1 · 2021: 11 · 2020: 2 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 6 · 2014: 8 · 2013: 8 · 2012: 4
FWCI
3.20
Type
journal article
Language
en
Open access
closed
Locations
  • Biotechnology and Bioengineering (publishedVersion)
  • PubMed (publishedVersion)
  • Kent Academic Repository (University of Kent) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Viral Infectious Diseases and Gene Expression in Insects
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein purification and stability
Keywords
quantitative proteomics, molecular chaperones, BiP, protein disulfide isomerase, antibody light chain, antibody heavy chain
MeSH terms
Adaptation, Physiological, Animals, Antibodies, Monoclonal, Multiple Myeloma, Neoplasm Proteins, Recombinant Proteins, Gene Expression Regulation, Neoplastic, Proteome, Gene Expression Profiling, Cell Line, Tumor, Mice

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