Evidence map›Paper›PMID 23749302›Full record

ArticleNature methods2013

Integrated proteomic analysis of post-translational modifications by serial enrichment.

Philipp Mertins, Jana W Qiao, Jinal Patel, Namrata D Udeshi, Karl R Clauser, D R Mani, Michael W Burgess, Michael A Gillette, Jacob D Jaffe, Steven A Carr

Abstract read
In one paragraph

Article in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 344 papers.

0numbers the graph read from it
0cells of the map it votes in
344citing papers in PubMed
–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

344 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. SMARCD1 and Its Functional Relevance in SWI/SNF and Cancer.International journal of molecular sciences · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Isoform-specific regulation of PKM by acetylation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Review
  18. Article
  19. The functional landscape of the human ubiquitinome.bioRxiv : the preprint server for biology · 2025
    Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Philipp MertinsThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. pmertins@broadinstitute.org
Jana W Qiao
Jinal Patel
Namrata D Udeshi
Karl R Clauser
D R Mani
Michael W Burgess
Michael A Gillette
Jacob D Jaffe
Steven A Carr

Funding

Proteo-genomic Discovery, Prioritization and Verification of Cancer BiomarkersU24CA160034 · NCI · BROAD INSTITUTE, INC. · PI CARR, STEVEN A, PAULOVICH, AMANDA G · 2011 to 2016
$16.2M
Discovery & Application of Proteomics-Based Biomarkers of Early Myocardial InjuryR01HL096738 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI CARR, STEVEN A, GERSZTEN, ROBERT E · 2009 to 2012
$2.9M
NCI NIH HHS U24 CA160034NCI NIH HHS U24CA160034NHLBI NIH HHS HHSN268201000033CNHLBI NIH HHS R01 HL096738NHLBI NIH HHS R01HL096738
6 · The paper itself

Abstract

We report a mass spectrometry-based method for the integrated analysis of protein expression, phosphorylation, ubiquitination and acetylation by serial enrichments of different post-translational modifications (SEPTM) from the same biological sample. This technology enabled quantitative analysis of nearly 8,000 proteins and more than 20,000 phosphorylation, 15,000 ubiquitination and 3,000 acetylation sites per experiment, generating a holistic view of cellular signal transduction pathways as exemplified by analysis of bortezomib-treated human leukemia cells.

Indexed as

Gene Expression ProfilingMass SpectrometryProtein Processing, Post-TranslationalProteomeSystems IntegrationProteome

Identifiers

PMID23749302
PMCPMC3943163

What OpenQuestion holds

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Registered trials

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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.