Analysis of the S. cerevisiae proteome with PeptideAtlas

by: Nichole L King, Eric W Deutsch, Jeffrey A Ranish, Alexey I Nesvizhskii, James S Eddes, Parag Mallick, Jimmy Eng, Frank Desiere, Mark Flory, Daniel B Martin, Bong Kim, Hookeun Lee, Brian Raught, Ruedi Aebersold

Genome Biology, Vol. 7 (13 November 2006), R106.

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peptide-atlas, peptide-identification, proteomics, tandem-mass-spectrometry

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.

@article{citeulike:942606, abstract = {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.}, author = {King, Nichole L. and Deutsch, Eric W. and Ranish, Jeffrey A. and Nesvizhskii, Alexey I. and Eddes, James S. and Mallick, Parag and Eng, Jimmy and Desiere, Frank and Flory, Mark and Martin, Daniel B. and Kim, Bong and Lee, Hookeun and Raught, Brian and Aebersold, Ruedi }, citeulike-article-id = {942606}, doi = {http://dx.doi.org/10.1186/gb-2006-7-11-r106}, issn = {1465-6906}, journal = {Genome Biology}, keywords = {peptide-atlas, peptide-identification, proteomics, tandem-mass-spectrometry}, month = {November}, pages = {R106+}, posted-at = {2007-08-08 13:42:41}, priority = {2}, title = {Analysis of the S. cerevisiae proteome with PeptideAtlas}, url = {http://dx.doi.org/10.1186/gb-2006-7-11-r106}, volume = {7}, year = {2006} }

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TY - JOUR ID - citeulike:942606 L3 - citeulike-article-id:942606 TI - Analysis of the S. cerevisiae proteome with PeptideAtlas JF - Genome Biology VL - 7 SP - R106 SN - 1465-6906 N2 - 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. KW - peptide-atlas KW - peptide-identification KW - proteomics KW - tandem-mass-spectrometry AU - King, Nichole AU - Deutsch, Eric AU - Ranish, Jeffrey AU - Nesvizhskii, Alexey AU - Eddes, James AU - Mallick, Parag AU - Eng, Jimmy AU - Desiere, Frank AU - Flory, Mark AU - Martin, Daniel AU - Kim, Bong AU - Lee, Hookeun AU - Raught, Brian AU - Aebersold, Ruedi PY - 2006/11/13/ UR - http://dx.doi.org/10.1186/gb-2006-7-11-r106 ER -

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