Evidence map›Paper›PMID 27453469›Full record

ArticleCell2016

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

Ulrike Kusebauch, David S Campbell, Eric W Deutsch, Caroline S Chu, Douglas A Spicer, Mi-Youn Brusniak, Joseph Slagel, Zhi Sun, Jeffrey Stevens, Barbara Grimes and 17 more

Abstract readEvaluation Study
In one paragraph

Article in Cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

143 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Proteomic Markers of Aging and Longevity: A Systematic Review.International journal of molecular sciences · 2024
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Serum/Plasma Proteome in Non-Malignant Liver Disease.International journal of molecular sciences · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Quantitative Peptidomics: General Considerations.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  19. Article
  20. Article

83 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors.

Ulrike KusebauchInstitute for Systems Biology, Seattle, WA 98109, USA.
David S CampbellInstitute for Systems Biology, Seattle, WA 98109, USA.
Eric W DeutschInstitute for Systems Biology, Seattle, WA 98109, USA.
Caroline S ChuInstitute for Systems Biology, Seattle, WA 98109, USA.
Douglas A SpicerInstitute for Systems Biology, Seattle, WA 98109, USA.
Mi-Youn BrusniakInstitute for Systems Biology, Seattle, WA 98109, USA.
Joseph SlagelInstitute for Systems Biology, Seattle, WA 98109, USA.
Zhi SunInstitute for Systems Biology, Seattle, WA 98109, USA.
Jeffrey StevensInstitute for Systems Biology, Seattle, WA 98109, USA.
Barbara GrimesInstitute for Systems Biology, Seattle, WA 98109, USA.
David ShteynbergInstitute for Systems Biology, Seattle, WA 98109, USA.
Michael R HoopmannInstitute for Systems Biology, Seattle, WA 98109, USA.
Peter BlattmannDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland.
Alexander V RatushnyInstitute for Systems Biology, Seattle, WA 98109, USA; Center for Infectious Disease Research, Seattle, WA 98109, USA.
Oliver RinnerDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland; Biognosys AG, 8952 Schlieren, Switzerland.
Paola PicottiDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland.
Christine CarapitoDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland.
Chung-Ying HuangInstitute for Systems Biology, Seattle, WA 98109, USA.
Meghan KapousouzInstitute for Systems Biology, Seattle, WA 98109, USA.
Henry LamDepartment of Chemical and Biomolecular Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.
Tommy TranInstitute for Systems Biology, Seattle, WA 98109, USA.
Emek DemirComputational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
John D AitchisonInstitute for Systems Biology, Seattle, WA 98109, USA; Center for Infectious Disease Research, Seattle, WA 98109, USA.
Chris SanderComputational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Leroy HoodInstitute for Systems Biology, Seattle, WA 98109, USA.
Ruedi AebersoldDepartment 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.
Robert L MoritzInstitute for Systems Biology, Seattle, WA 98109, USA. Electronic address: rmoritz@systemsbiology.org.

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI AITCHISON, JOHN D. · 2006 to 2016
$30.6M
TR&D Project 4. The Imaging Stage: Multiscale Spatiotemporal Modeling of Macromolecular Systems in Cellular NeighborhoodsP41GM109824 · NIGMS · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2014 to 2023
$18.8M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
Pathway Commons: Research Resource for Biological PathwaysU41HG006623 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI SANDER, CHRIS · 2012 to 2017
$5.7M
Complete Human Peptide- and MRM-AtlasRC2HG005805 · NHGRI · INSTITUTE FOR SYSTEMS BIOLOGY · PI HOOD, LEROY E, MORITZ, ROBERT L · 2009 to 2010
$4.6M
FAIMS-Selected Reaction Monitoring to Quantitative Protein Networks in DiseaseS10RR027584 · NCRR · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2011 to 2011
$576k
European Research Council 233226European Research Council 670821European Research Council ERC-2008-ADG 233226European Research Council ERC-2014-ADG 270821NCRR NIH HHS S10 RR027584NHGRI NIH HHS RC2 HG005805NHGRI NIH HHS U41 HG006623NIGMS NIH HHS P41 GM109824NIGMS NIH HHS P50 GM076547NIGMS NIH HHS R01 GM087221
6 · The paper itself

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.

Indexed as

Databases, ProteinProteomeAccess to InformationAntineoplastic AgentsCell Line, TumorCholesterolDocetaxelFemaleHumansInternetLiverMaleMutationProstatic NeoplasmsRNA SplicingTaxoidsAntineoplastic AgentsCholesterolDocetaxelProteomeTaxoids

Identifiers

PMID27453469
PMCPMC5245710

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.