Evidence map›Paper›PMID 20937571›Full record

ReviewMolecular oncology2010

Phosphoproteomics in cancer.

H C Harsha, Akhilesh Pandey

Open access · greenAbstract readReview
In one paragraph

Review in Molecular oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
7.4field-weighted citation impact, top 2% of its field
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

79 citing papers in PubMed, 174 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

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

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 at 2 institutions in 2 countries.

H C HarshaInstitute of Bioinformatics, International Technology Park, Bangalore, India. harsha@ibioinformatics.org
Akhilesh Pandey
Institute of Bioinformatics · INJohns Hopkins University · US

Funding

TCP5: ACTIVE SITE LABELING REAGENT FOR ACETYLTRANSFERASESU54RR020839 · NCRR · JOHNS HOPKINS UNIVERSITY · PI BOEKE, JEF D · 2004 to 2011
$27.4M
NHLBI PROTEOMICS INITIATIVE-N01HV28180-268028180-268028180N01HV028180 · HV · JOHNS HOPKINS UNIVERSITY · PI VAN EYK, JENNIFER E · 2002 to 2006
–
NCRR NIH HHS U54 RR 020839NCRR NIH HHS U54 RR020839NHLBI NIH HHS N01 HV028180NHLBI NIH HHS N01-HV-28180Wellcome Trust
6 · The paper itself

Abstract

Reversible protein phosphorylation serves as a basis for regulating a number of cellular processes. Aberrant activation of kinase signaling pathways is commonly associated with several cancers. Recent developments in phosphoprotein/phosphopeptide enrichment strategies and quantitative mass spectrometry have resulted in robust pipelines for high-throughput characterization of phosphorylation in a global fashion. Today, it is possible to profile site-specific phosphorylation events on thousands of proteins in a single experiment. The potential of this approach is already being realized to characterize signaling pathways that govern oncogenesis. In addition, chemical proteomic strategies have been used to unravel targets of kinase inhibitors, which are otherwise difficult to characterize. This review summarizes various approaches used for analysis of the phosphoproteome in general, and protein kinases in particular, highlighting key cancer phosphoproteomic studies.

Indexed as

Cells, CulturedHumansMass SpectrometryNeoplasmsPeptide MappingPhosphopeptidesPhosphoproteinsPhosphorylationProtein KinasesProteomicsSignal TransductionPhosphopeptidesPhosphoproteinsProtein Kinases

Identifiers

PMID20937571
PMCPMC3030978
OpenAlexW2028387937

What OpenQuestion holds

Textmetadata
LicenceTDM
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.