Evidence map›Paper›PMID 35100417›Full record

ArticleNucleic acids research2022

Waves of sumoylation support transcription dynamics during adipocyte differentiation.

Xu Zhao, Ivo A Hendriks, Stéphanie Le Gras, Tao Ye, Lucía Ramos-Alonso, Aurélie Nguéa P, Guro Flor Lien, Fatemeh Ghasemi, Arne Klungland, Bernard Jost and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Regulation of lineage reprogramming by dynamic chromatin SUMOylation.Cellular and molecular life sciences : CMLS · 2026
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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

13 authors at 4 institutions in 3 countries.

Xu ZhaoDepartment of Biosciences, Faculty of Mathematics and Natural Sciences, University of Oslo, 0316 Oslo, Norway.
Ivo A HendriksProteomics Program, Novo Nordisk Foundation Center for Protein Research (NNF-CPR), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.ORCID 0000-0002-1439-3701
Stéphanie Le GrasInstitut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS UMR7104, Inserm U964, Université de Strasbourg, Illkirch, France.ORCID 0000-0001-6293-6507
Tao YeInstitut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS UMR7104, Inserm U964, Université de Strasbourg, Illkirch, France.ORCID 0000-0002-3394-2083
Lucía Ramos-AlonsoDepartment of Biosciences, Faculty of Mathematics and Natural Sciences, University of Oslo, 0316 Oslo, Norway.ORCID 0000-0002-1828-4115
Aurélie Nguéa PDepartment of Microbiology, Oslo University Hospital, 0372 Oslo, Norway.
Guro Flor LienDepartment of Microbiology, Oslo University Hospital, 0372 Oslo, Norway.
Fatemeh GhasemiDepartment of Biosciences, Faculty of Mathematics and Natural Sciences, University of Oslo, 0316 Oslo, Norway.
Arne KlunglandDepartment of Biosciences, Faculty of Mathematics and Natural Sciences, University of Oslo, 0316 Oslo, Norway.ORCID 0000-0001-7274-3661
Bernard JostInstitut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS UMR7104, Inserm U964, Université de Strasbourg, Illkirch, France.
Jorrit M EnserinkDepartment of Biosciences, Faculty of Mathematics and Natural Sciences, University of Oslo, 0316 Oslo, Norway.ORCID 0000-0002-2394-5387
Michael L NielsenProteomics Program, Novo Nordisk Foundation Center for Protein Research (NNF-CPR), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.ORCID 0000-0002-0067-9039
Pierre ChymkowitchDepartment of Biosciences, Faculty of Mathematics and Natural Sciences, University of Oslo, 0316 Oslo, Norway.ORCID 0000-0003-1223-1001
Oslo University Hospital · NOCentre National de la Recherche Scientifique · FRUniversity of Copenhagen · DKUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tight control of gene expression networks required for adipose tissue formation and plasticity is essential for adaptation to energy needs and environmental cues. However, the mechanisms that orchestrate the global and dramatic transcriptional changes leading to adipocyte differentiation remain to be fully unraveled. We investigated the regulation of nascent transcription by the sumoylation pathway during adipocyte differentiation using SLAMseq and ChIPseq. We discovered that the sumoylation pathway has a dual function in differentiation; it supports the initial downregulation of pre-adipocyte-specific genes, while it promotes the establishment of the mature adipocyte transcriptional program. By characterizing endogenous sumoylome dynamics in differentiating adipocytes by mass spectrometry, we found that sumoylation of specific transcription factors like PPARγ/RXR and their co-factors are associated with the transcription of adipogenic genes. Finally, using RXR as a model, we found that sumoylation may regulate adipogenic transcription by supporting the chromatin occurrence of transcription factors. Our data demonstrate that the sumoylation pathway supports the rewiring of transcriptional networks required for formation of functional adipocytes. This study also provides the scientists in the field of cellular differentiation and development with an in-depth resource of the dynamics of the SUMO-chromatin landscape, SUMO-regulated transcription and endogenous sumoylation sites during adipocyte differentiation.

Indexed as

AdipogenesisSumoylationAdipocytesCell DifferentiationChromatinTranscription FactorsChromatinTranscription Factors

Identifiers

PMID35100417
PMCPMC8860575
OpenAlexW4206323560

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.