Evidence map›Paper›PMID 25969949›Full record

ArticleProtein science : a publication of the Protein Society2015

Molecular mechanisms of transcriptional control by Rev-erbα: An energetic foundation for reconciling structure and binding with biological function.

Anaïs Vaissière, Sylvie Berger, Deborah Harrus, Catherine Dacquet, Albane Le Maire, Jean A Boutin, Gilles Ferry, Catherine A Royer

Open access · greenAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. The Role of REV-ERB Receptors in Cancer Pathogenesis.International journal of molecular sciences · 2023
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
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

8 authors at 5 institutions in 1 country.

Anaïs VaissièreCentre de Biochimie Structurale CNRS UMR 5048, INSERM UMR 1054, Université de Montpellier, 34090, Montpellier Cedex, France.
Sylvie BergerBiotechnologie, Pharmacologie Moléculaire et Cellulaire, PEX BCB, Institut de Recherches SERVIER, 125 Chemin de Ronde, 78290, Croissy-sur-Seine, France.
Deborah HarrusCentre de Biochimie Structurale CNRS UMR 5048, INSERM UMR 1054, Université de Montpellier, 34090, Montpellier Cedex, France.
Catherine DacquetPole d'Innovation Thérapeutique, Recherche et Découverte Métabolisme, Institut de Recherches SERVIER, 11, rue des Moulineaux, 92150, Suresnes, France.
Albane Le MaireCentre de Biochimie Structurale CNRS UMR 5048, INSERM UMR 1054, Université de Montpellier, 34090, Montpellier Cedex, France.
Jean A BoutinBiotechnologie, Pharmacologie Moléculaire et Cellulaire, PEX BCB, Institut de Recherches SERVIER, 125 Chemin de Ronde, 78290, Croissy-sur-Seine, France.
Gilles FerryBiotechnologie, Pharmacologie Moléculaire et Cellulaire, PEX BCB, Institut de Recherches SERVIER, 125 Chemin de Ronde, 78290, Croissy-sur-Seine, France.
Catherine A RoyerCentre de Biochimie Structurale CNRS UMR 5048, INSERM UMR 1054, Université de Montpellier, 34090, Montpellier Cedex, France.
Institut de Pharmacologie Moléculaire et Cellulaire · FRCentre National de la Recherche Scientifique · FRInserm · FRPlateforme Technologique d'Innovation Biomédicale · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rev-erbα and β are nuclear receptors that function as transcriptional repressors of genes involved in regulating circadian rhythms, glucose, and cholesterol metabolism and the inflammatory response. Given these key functions, Rev-erbs are important drug targets for treatment of a number of human pathologies, including cancer, heart disease, and type II diabetes. Transcriptional repression by the Rev-erbs involves direct competition with transcriptional activators for target sites, but also recruitment by the Rev-erbs of the NCoR corepressor protein. Interestingly, Rev-erbs do not appear to interact functionally with a very similar corepressor, Smrt. Transcriptional repression by Rev-erbs is thought to occur in response to the binding of heme, although structural, and ligand binding studies in vitro show that heme and corepressor binding are antagonistic. We carried out systematic studies of the ligand and corepressor interactions to address the molecular basis for corepressor specificity and the energetic consequences of ligand binding using a variety of biophysical approaches. Highly quantitative fluorescence anisotropy assays in competition mode revealed that the Rev-erb specificity for the NCoR corepressor lies in the first two residues of the β-strand in Interaction Domain 1 of NCoR. Our studies confirmed and quantitated the strong antagonism of heme and corepressor binding and significant stabilization of the corepressor complex by a synthetic ligand in vitro. We propose a model which reconciles the contradictory observations concerning the effects of heme binding in vitro and in live cells.

Indexed as

Amino Acid SequenceHemeHumansModels, MolecularMolecular Sequence DataNuclear Receptor Co-Repressor 1Nuclear Receptor Subfamily 1, Group D, Member 1PeptidesProtein BindingProtein ConformationProtein Interaction Domains and MotifsProtein Interaction MapsThermodynamicsTranscriptional ActivationHemeNCOR1 protein, humanNR1D1 protein, humanNuclear Receptor Co-Repressor 1Nuclear Receptor Subfamily 1, Group D, Member 1PeptidesanisotropybindingcorepressorhemeRev-erb

Identifiers

PMID25969949
PMCPMC4500312
OpenAlexW2149886316

What OpenQuestion holds

Textmetadata
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.