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  The quantitative proteome of a human cell line

Beck, M., Schmidt, A., Malmstroem, J., Claassen, M., Ori, A., Szymborska, A., et al. (2011). The quantitative proteome of a human cell line. Molecular Systems Biology, 7: 549. doi:10.1038/msb.2011.82.

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 Creators:
Beck, Martin1, Author                 
Schmidt, Alexander2, Author
Malmstroem, Johan2, Author
Claassen, Manfred2, Author
Ori, Alessandro2, Author
Szymborska, Anna2, Author
Herzog, Franz2, Author
Rinner, Oliver2, Author
Ellenberg, Jan2, Author
Aebersold, Ruedi2, Author
Affiliations:
1European Molecular Biology Laboratory (EMBL), Heidelberg, Germany, ou_persistent22              
2External Organizations, ou_persistent22              

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Free keywords: Cell Line, Tumor, Gene Expression Profiling, Humans, Mass Spectrometry, Proteome, Proteomics, Systems Biology
 Abstract: The generation of mathematical models of biological processes, the simulation of these processes under different conditions, and the comparison and integration of multiple data sets are explicit goals of systems biology that require the knowledge of the absolute quantity of the system's components. To date, systematic estimates of cellular protein concentrations have been exceptionally scarce. Here, we provide a quantitative description of the proteome of a commonly used human cell line in two functional states, interphase and mitosis. We show that these human cultured cells express at least -10 000 proteins and that the quantified proteins span a concentration range of seven orders of magnitude up to 20 000 000 copies per cell. We discuss how protein abundance is linked to function and evolution.

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Language(s): eng - English
 Dates: 20112011-11-08
 Publication Status: Published online
 Pages: 8
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/msb.2011.82
BibTex Citekey: beck_quantitative_2011
 Degree: -

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Title: Molecular Systems Biology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: EMBO
Pages: - Volume / Issue: 7 Sequence Number: 549 Start / End Page: - Identifier: ISSN: 1744-4292
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000021290