Evidence map›Paper›PMID 32464595›Full record

ArticleiScience2020

CDK7 Mediates the Beta-Adrenergic Signaling in Thermogenic Brown and White Adipose Tissues.

Honglei Ji, Yizhe Chen, Judit Castillo-Armengol, René Dreos, Catherine Moret, Guy Niederhäuser, Brigitte Delacuisine, Isabel C Lopez-Mejia, Pierre-Damien Denechaud, Lluis Fajas

Open access · goldAbstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

10 authors at 3 institutions in 3 countries.

Honglei JiCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Yizhe ChenCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland; College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.
Judit Castillo-ArmengolCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
René DreosCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Catherine MoretCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Guy NiederhäuserCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Brigitte DelacuisineCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Isabel C Lopez-MejiaCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Pierre-Damien DenechaudCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland; Institut National de la Santé et de la Recherche Médicale (Inserm), UMR1048, Institute of Metabolic and Cardiovascular Diseases, Toulouse, France.
Lluis FajasCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland; Institut National de la Santé et de la Recherche Médicale (Inserm), Languedoc Roussillon, France. Electronic address: lluis.fajas@unil.ch.
University of Lausanne · CHInserm · FRNorthwest A&F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyclin-dependent kinases (CDKs) are emerging regulators of adipose tissue metabolism. Here we aimed to explore the role of CDK7 in thermogenic fat. We found that CDK7 brown adipose tissue (BAT)-specific knockout mice (Cdk7

Indexed as

Biological SciencesCell BiologyEndocrinology

Identifiers

PMID32464595
PMCPMC7256631
OpenAlexW3025039544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.