Evidence map›Paper›PMID 27251423›Full record

ReviewNature reviews. Molecular cell biology2016

Transcriptional and epigenetic control of brown and beige adipose cell fate and function.

Takeshi Inagaki, Juro Sakai, Shingo Kajimura

Erratum issuedAbstract readReview
In one paragraph

Review in Nature reviews. Molecular cell biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 200 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
200citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

200 citing papers in PubMed, 1 synthesis or guideline pooled it.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Takeshi InagakiDivision of Metabolic Medicine, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan 153-8904.
Juro SakaiDivision of Metabolic Medicine, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan 153-8904.
Shingo KajimuraUCSF Diabetes Center and Department of Cell and Tissue Biology, University of California, San Francisco, California 94143-0669, USA.

Funding

UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
Molecular mechanisms of UCP1-independent pathways in metabolic healthR01DK097441 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Shingo Kajimura · 2012 to 2026
$5.9M
BAT-mediated inter-organ communication in energy homeostasisR01DK108822 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KAJIMURA, SHINGO · 2016 to 2019
$1.4M
NIDDK NIH HHS P30 DK098722NIDDK NIH HHS R01 DK097441NIDDK NIH HHS R01 DK108822
6 · The paper itself

Abstract

White adipocytes store excess energy in the form of triglycerides, whereas brown and beige adipocytes dissipate energy in the form of heat. This thermogenic function relies on the activation of brown and beige adipocyte-specific gene programmes that are coordinately regulated by adipose-selective chromatin architectures and by a set of unique transcriptional and epigenetic regulators. A number of transcriptional and epigenetic regulators are also required for promoting beige adipocyte biogenesis in response to various environmental stimuli. A better understanding of the molecular mechanisms governing the generation and function of brown and beige adipocytes is necessary to allow us to control adipose cell fate and stimulate thermogenesis. This may provide a therapeutic approach for the treatment of obesity and obesity-associated diseases, such as type 2 diabetes.

Indexed as

Epigenesis, GeneticTranscription, GeneticAdipocytes, BeigeAdipocytes, BrownAnimalsCell LineageHumans

Identifiers

PMID27251423
PMCPMC4956538

What OpenQuestion holds

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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.