Evidence map›Paper›PMID 21925568›Full record

ReviewMolecular and cellular endocrinology2012

Nuclear hormone receptor co-repressors: structure and function.

Peter J Watson, Louise Fairall, John W R Schwabe

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular and cellular endocrinology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
7.8field-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

92 citing papers in PubMed, 163 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
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  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Exploring the nexus of nuclear receptors in hematological malignancies.Cellular and molecular life sciences : CMLS · 2024
    Review
  17. Review
  18. Article
  19. Article
  20. Article

32 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

3 authors at 1 institution in 1 country.

Peter J WatsonHenry Wellcome Laboratories of Structural Biology, Department of Biochemistry, University of Leicester, Leicester LE1 9HN, UK.
Louise Fairall
John W R Schwabe
University of Leicester · GB

Funding

Wellcome Trust 085408Wellcome Trust 100237Wellcome Trust WT091820
6 · The paper itself

Abstract

Co-repressor proteins, such as SMRT and NCoR, mediate the repressive activity of unliganded nuclear receptors and other transcription factors. They appear to act as intrinsically disordered "hub proteins" that integrate the activities of a range of transcription factors with a number of histone modifying enzymes. Although these co-repressor proteins are challenging targets for structural studies due to their largely unstructured character, a number of structures have recently been determined of co-repressor interaction regions in complex with their interacting partners. These have yielded considerable insight into the mechanism of assembly of these complexes, the structural basis for the specificity of the interactions and also open opportunities for targeting these interactions therapeutically.

Indexed as

AnimalsEnzyme ActivationGene Expression RegulationHistone DeacetylasesHumansMultiprotein ComplexesNuclear Receptor Co-Repressor 1Nuclear Receptor Co-Repressor 2Protein BindingProtein Interaction Domains and MotifsReceptors, Cytoplasmic and NuclearHistone DeacetylasesMultiprotein ComplexesNuclear Receptor Co-Repressor 1Nuclear Receptor Co-Repressor 2Receptors, Cytoplasmic and Nuclear

Identifiers

PMID21925568
PMCPMC3315023
OpenAlexW2044568134

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.