Document Detail

Systems biotechnology of mammalian cell factories.
MedLine Citation:
PMID:  18326543     Owner:  NLM     Status:  MEDLINE    
The increasing demand for recombinant therapeutic proteins has placed significant pressure on the biopharmaceutical industry to develop high-yielding, mammalian cell-based production systems. Current efforts to increase the production of recombinant proteins by mammalian host cells largely proceed by the lengthy screening of clonal derivatives rather than by directed genetic or metabolic engineering. However, the advent of systems biology has created a new set of tools that will ensure that future engineering strategies will be informed by an understanding of the genetic/regulatory and metabolic networks that determine the functional competence of mammalian cell factories in vitro. In this review we summarize recent systems-level studies that utilize genome-scale analytical tools to analyse the functional basis for key production process characteristics such as high cell-specific productivity, correct product processing and rapid cell proliferation in the in vitro environment. We also describe the use of high-throughput -omic technologies to investigate how mammalian cell factories respond to environmental and metabolic perturbation.
Peter M O'Callaghan; David C James
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Publication Detail:
Type:  Journal Article; Review     Date:  2008-03-07
Journal Detail:
Title:  Briefings in functional genomics & proteomics     Volume:  7     ISSN:  1477-4062     ISO Abbreviation:  Brief Funct Genomic Proteomic     Publication Date:  2008 Mar 
Date Detail:
Created Date:  2008-05-14     Completed Date:  2008-09-15     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101150306     Medline TA:  Brief Funct Genomic Proteomic     Country:  England    
Other Details:
Languages:  eng     Pagination:  95-110     Citation Subset:  IM    
Department of Chemical and Process Engineering, University of Sheffield, Mappin St., Sheffield S1 3JD, UK.
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MeSH Terms
Cell Survival
Cells / cytology,  metabolism*
Mammals / genetics,  metabolism*
Models, Biological
Systems Biology*

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