The quantitative proteome of a human cell line
(2011) In Molecular Systems Biology 7.- 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 similar to 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.... (More)
- 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 similar to 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. Molecular Systems Biology 7: 549; published online 8 November 2011; doi:10.1038/msb.2011.82 (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2291698
- author
- Beck, Martin ; Schmidt, Alexander ; Malmström, Johan LU ; Claassen, Manfred ; Ori, Alessandro ; Szymborska, Anna ; Herzog, Franz ; Rinner, Oliver ; Ellenberg, Jan and Aebersold, Ruedi
- organization
- publishing date
- 2011
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- mass spectrometry, protein abundance, proteomics
- in
- Molecular Systems Biology
- volume
- 7
- publisher
- EMBO Press
- external identifiers
-
- wos:000297685900006
- scopus:80855128111
- pmid:22068332
- ISSN
- 1744-4292
- DOI
- 10.1038/msb.2011.82
- language
- English
- LU publication?
- yes
- id
- 6c322fd3-ebd7-40df-a082-8f7cd88031f7 (old id 2291698)
- date added to LUP
- 2016-04-01 13:48:33
- date last changed
- 2024-03-27 09:01:07
@article{6c322fd3-ebd7-40df-a082-8f7cd88031f7, 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 similar to 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. Molecular Systems Biology 7: 549; published online 8 November 2011; doi:10.1038/msb.2011.82}}, author = {{Beck, Martin and Schmidt, Alexander and Malmström, Johan and Claassen, Manfred and Ori, Alessandro and Szymborska, Anna and Herzog, Franz and Rinner, Oliver and Ellenberg, Jan and Aebersold, Ruedi}}, issn = {{1744-4292}}, keywords = {{mass spectrometry; protein abundance; proteomics}}, language = {{eng}}, publisher = {{EMBO Press}}, series = {{Molecular Systems Biology}}, title = {{The quantitative proteome of a human cell line}}, url = {{http://dx.doi.org/10.1038/msb.2011.82}}, doi = {{10.1038/msb.2011.82}}, volume = {{7}}, year = {{2011}}, }