Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas

被引:56
作者
King, Nichole L.
Deutsch, Eric W.
Ranish, Jeffrey A.
Nesvizhskii, Alexey I.
Eddes, James S.
Mallick, Parag
Eng, Jimmy
Desiere, Frank
Flory, Mark
Martin, Daniel B.
Kim, Bong
Lee, Hookeun
Raught, Brian
Aebersold, Ruedi
机构
[1] Inst Syst Biol, Seattle, WA 98103 USA
[2] Univ Michigan, Dept Pathol, Ann Arbor, MI 48109 USA
[3] Cedars Sinai Med Ctr, Louis Warschaw Prostate Canc Ctr, Los Angeles, CA 90048 USA
[4] PHSD, Fred Hutchinson Canc Res Ctr, Seattle, WA 98109 USA
[5] Nestle Res Ctr, CH-1000 Lausanne 26, Switzerland
[6] Wesleyan Univ, Dept Mol Biol & Biochem, Middletown, CT 06459 USA
[7] Fred Hutchinson Canc Res Ctr, Div Human Biol, Seattle, WA 98109 USA
[8] Fred Hutchinson Canc Res Ctr, Div Clin Res, Seattle, WA 98109 USA
[9] IMSB, ETH Zurich, Zurich, Switzerland
[10] Univ Zurich, Fac Sci, Zurich, Switzerland
[11] Univ Hlth Network, Ontario Canc Inst, Toronto, ON M5G 1L7, Canada
[12] McLaughlin Ctr Mol Med, Toronto, ON M5G 1L7, Canada
关键词
D O I
10.1186/gb-2006-7-11-r106
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
We present the Saccharomyces cerevisiae PeptideAtlas composed from 47 diverse experiments and 4.9 million tandem mass spectra. The observed peptides align to 61% of Saccharomyces Genome Database (SGD) open reading frames (ORFs), 49% of the uncharacterized SGD ORFs, 54% of S. cerevisiae ORFs with a Gene Ontology annotation of 'molecular function unknown', and 76% of ORFs with Gene names. We highlight the use of this resource for data mining, construction of high quality lists for targeted proteomics, validation of proteins, and software development.
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页数:15
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