Evidence map›Paper›PMID 19929607›Full record

ArticleExpert review of proteomics2009

Phosphoproteomics by mass spectrometry: insights, implications, applications and limitations.

Viveka Mayya, David K Han

Abstract read
In one paragraph

Article in Expert review of proteomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Integrating the analysis of human biopsies using post-translational modifications proteomics.Protein science : a publication of the Protein Society · 2024
    Review
  3. Article
  4. Phosphoprotein Profile of Rice (Plants (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Viveka MayyaCenter for Vascular Biology, Department of Cell Biology, University of Connecticut Health Center, 263 Farmington Avenue, Farmington, CT 06030, USA. viveka.mayya@gmail.com
David K Han

Funding

Vascular Pathophysiology and History Core (VPHC)P01HL070694 · NHLBI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI COWAN, ANN E. · 2002 to 2013
$17.5M
Proteomic Analysis of Apoptotic Signaling NetworksR01HL067569 · NHLBI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HAN, DAVID K · 2000 to 2007
$2.4M
NHLBI NIH HHS P01 HL070694NHLBI NIH HHS P01 HL 70694NHLBI NIH HHS R01 HL067569NHLBI NIH HHS R01 HL 67569
6 · The paper itself

Abstract

Phosphorylation of proteins is a predominant, reversible post-translational modification. It is central to a wide variety of physiological responses and signaling mechanisms. Recent advances have allowed the global scope of phosphorylation to be addressed by mass spectrometry using phosphoproteomic approaches. In this perspective, we discuss four aspects of phosphoproteomics: the insights and implications from recently published phosphoproteomic studies and the applications and limitations of current phosphoproteomic strategies. Since approximately 50,000 known phosphorylation sites do not yet have any ascribed function, we present our perspectives on a major function of protein phosphorylation that may be of predictive value in hypothesis-based investigations. Finally, we discuss strategies to measure the stoichiometry of phosphorylation in a proteome-wide manner that is not provided by current phosphoproteomic approaches.

Indexed as

AnimalsHumansMass SpectrometryModels, TheoreticalPhosphorylationProteinsProteomicsProteins

Identifiers

PMID19929607
PMCPMC2931417

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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.