Evidence map›Paper›PMID 25163748›Full record

ArticleeLife2014

Identification of the transcription factor ZEB1 as a central component of the adipogenic gene regulatory network.

Carine Gubelmann, Petra C Schwalie, Sunil K Raghav, Eva Röder, Tenagne Delessa, Elke Kiehlmann, Sebastian M Waszak, Andrea Corsinotti, Gilles Udin, Wiebke Holcombe and 4 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

70 citing papers in PubMed, 119 citations in OpenAlex.

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10 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

14 authors at 3 institutions in 1 country.

Carine GubelmannInstitute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Petra C SchwalieInstitute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Sunil K RaghavInstitute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Eva RöderInstitute of Food Nutrition and Health, Eidgenössische Technische Hochschule Zürich, Schwerzenbach, Switzerland.
Tenagne DelessaInstitute of Food Nutrition and Health, Eidgenössische Technische Hochschule Zürich, Schwerzenbach, Switzerland.
Elke KiehlmannInstitute of Food Nutrition and Health, Eidgenössische Technische Hochschule Zürich, Schwerzenbach, Switzerland.
Sebastian M WaszakInstitute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-3042-9521
Andrea CorsinottiGlobal Health Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Gilles UdinInstitute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Wiebke HolcombeInstitute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Gottfried RudofskyÄrztlicher Leiter Endokrinologie, Diabetologie und Klinische Ernährung Kantonsspital Olten, Olten, Switzerland.
Didier TronoGlobal Health Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Christian WolfrumInstitute of Food Nutrition and Health, Eidgenössische Technische Hochschule Zürich, Schwerzenbach, Switzerland.
Bart DeplanckeInstitute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland.
SIB Swiss Institute of Bioinformatics · CHÉcole Polytechnique Fédérale de Lausanne · CHKantonsschule Olten · CH

Funding

European Research Council 268721
6 · The paper itself

Abstract

Adipose tissue is a key determinant of whole body metabolism and energy homeostasis. Unraveling the regulatory mechanisms underlying adipogenesis is therefore highly relevant from a biomedical perspective. Our current understanding of fat cell differentiation is centered on the transcriptional cascades driven by the C/EBP protein family and the master regulator PPARγ. To elucidate further components of the adipogenic gene regulatory network, we performed a large-scale transcription factor (TF) screen overexpressing 734 TFs in mouse pre-adipocytes and probed their effect on differentiation. We identified 22 novel pro-adipogenic TFs and characterized the top ranking TF, ZEB1, as being essential for adipogenesis both in vitro and in vivo. Moreover, its expression levels correlate with fat cell differentiation potential in humans. Genomic profiling further revealed that this TF directly targets and controls the expression of most early and late adipogenic regulators, identifying ZEB1 as a central transcriptional component of fat cell differentiation.

Indexed as

3T3-L1 CellsAdipocytesAdipogenesisAdipose TissueAnimalsCCAAT-Enhancer-Binding Protein-betaCell DifferentiationCell LineCell NucleusGene ExpressionGene Regulatory NetworksHomeodomain ProteinsHumansKruppel-Like Transcription FactorsMiceMice, Inbred C3HCCAAT-Enhancer-Binding Protein-betaHomeodomain ProteinsKruppel-Like Transcription FactorsPPAR gammaTranscription FactorsZEB1 protein, mouseZinc Finger E-box-Binding Homeobox 1adipogenesisdevelopmental biologyevolutionary biologygene regulatory networksgenomicshumanmesenchymal stem cellsmousestem cellstranscription factor screenzeb1

Identifiers

PMID25163748
PMCPMC4359378
OpenAlexW2144818107

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.