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Human SRMAtlas: A Resource of Targeted Assays to Quantify the Complete Human Proteome
Author(s) -
Ulrike Kusebauch,
David Campbell,
Eric W. Deutsch,
Caroline S. Chu,
Douglas A. Spicer,
MiYoun Brusniak,
Joseph Slagel,
Zhi Sun,
Jeffrey Stevens,
Barbara Grimes,
David Shteynberg,
Michael R. Hoopmann,
Peter Blattmann,
Alexander V. Ratushny,
Oliver Rinner,
Paola Picotti,
Christine Carapito,
ChungYing Huang,
Meghan Kapousouz,
Henry Lam,
Tommy Tran,
Emek Demir,
John D. Aitchison,
Chris Sander,
Leroy Hood,
Ruedi Aebersold,
Robert L. Moritz
Publication year - 2016
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2016.06.041
Subject(s) - biology , proteome , computational biology , human proteome project , proteomics , bioinformatics , genetics , gene
The ability to reliably and reproducibly measure any protein of the human proteome in any tissue or cell type would be transformative for understanding systems-level properties as well as specific pathways in physiology and disease. Here, we describe the generation and verification of a compendium of highly specific assays that enable quantification of 99.7% of the 20,277 annotated human proteins by the widely accessible, sensitive, and robust targeted mass spectrometric method selected reaction monitoring, SRM. This human SRMAtlas provides definitive coordinates that conclusively identify the respective peptide in biological samples. We report data on 166,174 proteotypic peptides providing multiple, independent assays to quantify any human protein and numerous spliced variants, non-synonymous mutations, and post-translational modifications. The data are freely accessible as a resource at http://www.srmatlas.org/, and we demonstrate its utility by examining the network response to inhibition of cholesterol synthesis in liver cells and to docetaxel in prostate cancer lines.

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