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Deep proteome and transcriptome mapping of a human cancer cell line
While the number and identity of proteins expressed in a single human cell type is currently unknown, this fundamental question can be addressed by advanced mass spectrometry (MS)-based proteomics. Online liquid chromatography coupled to high-resolution MS and MS/MS yielded 166 420 peptides with uni...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Molecular Biology Organization
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3261714/ https://www.ncbi.nlm.nih.gov/pubmed/22068331 http://dx.doi.org/10.1038/msb.2011.81 |
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author | Nagaraj, Nagarjuna Wisniewski, Jacek R Geiger, Tamar Cox, Juergen Kircher, Martin Kelso, Janet Pääbo, Svante Mann, Matthias |
author_facet | Nagaraj, Nagarjuna Wisniewski, Jacek R Geiger, Tamar Cox, Juergen Kircher, Martin Kelso, Janet Pääbo, Svante Mann, Matthias |
author_sort | Nagaraj, Nagarjuna |
collection | PubMed |
description | While the number and identity of proteins expressed in a single human cell type is currently unknown, this fundamental question can be addressed by advanced mass spectrometry (MS)-based proteomics. Online liquid chromatography coupled to high-resolution MS and MS/MS yielded 166 420 peptides with unique amino-acid sequence from HeLa cells. These peptides identified 10 255 different human proteins encoded by 9207 human genes, providing a lower limit on the proteome in this cancer cell line. Deep transcriptome sequencing revealed transcripts for nearly all detected proteins. We calculate copy numbers for the expressed proteins and show that the abundances of >90% of them are within a factor 60 of the median protein expression level. Comparisons of the proteome and the transcriptome, and analysis of protein complex databases and GO categories, suggest that we achieved deep coverage of the functional transcriptome and the proteome of a single cell type. |
format | Online Article Text |
id | pubmed-3261714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | European Molecular Biology Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-32617142012-01-20 Deep proteome and transcriptome mapping of a human cancer cell line Nagaraj, Nagarjuna Wisniewski, Jacek R Geiger, Tamar Cox, Juergen Kircher, Martin Kelso, Janet Pääbo, Svante Mann, Matthias Mol Syst Biol Report While the number and identity of proteins expressed in a single human cell type is currently unknown, this fundamental question can be addressed by advanced mass spectrometry (MS)-based proteomics. Online liquid chromatography coupled to high-resolution MS and MS/MS yielded 166 420 peptides with unique amino-acid sequence from HeLa cells. These peptides identified 10 255 different human proteins encoded by 9207 human genes, providing a lower limit on the proteome in this cancer cell line. Deep transcriptome sequencing revealed transcripts for nearly all detected proteins. We calculate copy numbers for the expressed proteins and show that the abundances of >90% of them are within a factor 60 of the median protein expression level. Comparisons of the proteome and the transcriptome, and analysis of protein complex databases and GO categories, suggest that we achieved deep coverage of the functional transcriptome and the proteome of a single cell type. European Molecular Biology Organization 2011-11-08 /pmc/articles/PMC3261714/ /pubmed/22068331 http://dx.doi.org/10.1038/msb.2011.81 Text en Copyright © 2011, EMBO and Macmillan Publishers Limited https://creativecommons.org/licenses/by-nc-sa/3.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Noncommercial Share Alike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission. |
spellingShingle | Report Nagaraj, Nagarjuna Wisniewski, Jacek R Geiger, Tamar Cox, Juergen Kircher, Martin Kelso, Janet Pääbo, Svante Mann, Matthias Deep proteome and transcriptome mapping of a human cancer cell line |
title | Deep proteome and transcriptome mapping of a human cancer cell line |
title_full | Deep proteome and transcriptome mapping of a human cancer cell line |
title_fullStr | Deep proteome and transcriptome mapping of a human cancer cell line |
title_full_unstemmed | Deep proteome and transcriptome mapping of a human cancer cell line |
title_short | Deep proteome and transcriptome mapping of a human cancer cell line |
title_sort | deep proteome and transcriptome mapping of a human cancer cell line |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3261714/ https://www.ncbi.nlm.nih.gov/pubmed/22068331 http://dx.doi.org/10.1038/msb.2011.81 |
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