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Cell. 2016 Jul 28;166(3):766-778. doi: 10.1016/j.cell.2016.06.041. Epub 2016 Jul 21.

Human SRMAtlas: A Resource of Targeted Assays to Quantify the Complete Human Proteome.

Author information

1
Institute for Systems Biology, Seattle, WA 98109, USA.
2
Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland.
3
Institute for Systems Biology, Seattle, WA 98109, USA; Center for Infectious Disease Research, Seattle, WA 98109, USA.
4
Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland; Biognosys AG, 8952 Schlieren, Switzerland.
5
Department of Chemical and Biomolecular Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.
6
Computational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
7
Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland; Faculty of Science, University of Zurich, 8006 Zurich, Switzerland. Electronic address: aebersold@imsb.biol.ethz.ch.
8
Institute for Systems Biology, Seattle, WA 98109, USA. Electronic address: rmoritz@systemsbiology.org.

Abstract

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.

PMID:
27453469
PMCID:
PMC5245710
DOI:
10.1016/j.cell.2016.06.041
[Indexed for MEDLINE]
Free PMC Article

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