Evidence map›Paper›PMID 19815854›Full record

ReviewPhysiology (Bethesda, Md.)2009

Physiological signaling specificity by protein tyrosine phosphatases.

Matthew Soulsby, Anton M Bennett

Open access · greenAbstract readReview
In one paragraph

Review in Physiology (Bethesda, Md.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

39 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Identification of Protein Tyrosine Phosphatase (PTP) Substrates.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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 at 1 institution in 1 country.

Matthew SoulsbyDepartment of Pharmacology, Yale University School of Medicine, New Haven, Connecticut, USA.
Anton M Bennett
Yale University · US

Funding

Translational CoreP01DK057751 · NIDDK · YALE UNIVERSITY · PI NATHANSON, MICHAEL H · 2001 to 2020
$25.6M
ATOMIC STRUCTURE OF SMOOTH MUSCLE CALDESMONR01AR046524 · NIAMS · BOSTON BIOMEDICAL RESEARCH INSTITUTE · PI DOMINGUEZ, ROBERTO · 2000 to 2004
$2.0M
Mechanisms of Metabolic Control by MKP-1R01DK075776 · NIDDK · YALE UNIVERSITY · PI BENNETT, ANTON M · 2007 to 2011
$1.6M
NIAMS NIH HHS AR-046524NIAMS NIH HHS R01 AR046524NIDDK NIH HHS DK-057751NIDDK NIH HHS DK-075776NIDDK NIH HHS P01 DK057751NIDDK NIH HHS R01 DK075776
6 · The paper itself

Abstract

Protein tyrosine phosphatases (PTPs) are now recognized to be involved in a multitude of signaling events that control fundamental biological processes such as cell growth, differentiation, apoptosis, and cell movement. PTPs, which were initially thought to be less discriminating in their actions compared with their protein tyrosine kinase counterparts, are now known to regulate these various biological processes in a precise manner. This review will focus on the concept that PTPs exhibit remarkable signaling specificity through intrinsic differences between their PTP domains and through various modes of regulation that endows them with the capacity to promote unique physiological responses.

Indexed as

AnimalsGene Expression Regulation, EnzymologicHumansMitogen-Activated Protein KinasesProtein Tyrosine PhosphatasesSignal TransductionMitogen-Activated Protein KinasesProtein Tyrosine Phosphatases

Identifiers

PMID19815854
PMCPMC11726349
OpenAlexW1965681094

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.