Evidence map›Paper›PMID 28755519›Full record

ArticleThe FEBS journal2017

Hierarchical role for transcription factors and chromatin structure in genome organization along adipogenesis.

Avital Sarusi Portuguez, Michal Schwartz, Rasmus Siersbaek, Ronni Nielsen, Myong-Hee Sung, Susanne Mandrup, Tommy Kaplan, Ofir Hakim

Open access · bronzeAbstract read
In one paragraph

Article in The FEBS journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  7. Identifying adipogenic chemicals: Disparate effects in 3T3-L1, OP9 and primary mesenchymal multipotent cell models.Toxicology in vitro : an international journal published in association with BIBRA · 2020
    Article
  8. Article
  9. The importance of the nuclear positioning of the PPARG gene for its expression during porcine in vitro adipogenesis.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2019
    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 4 institutions in 3 countries.

Avital Sarusi PortuguezThe Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, Ramat Gan, Israel.
Michal SchwartzThe Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, Ramat Gan, Israel.
Rasmus SiersbaekDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.
Ronni NielsenDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.
Myong-Hee SungLaboratory of Molecular Biology and Immunology, NIA, National Institutes of Health, Baltimore, MD, USA.
Susanne MandrupDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.
Tommy KaplanSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
Ofir HakimThe Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, Ramat Gan, Israel.
Bar-Ilan University · ILUniversity of Southern Denmark · DKHebrew University of Jerusalem · ILNational Institutes of Health · US

Funding

Epigenomic analysis of primary immune cells from young and old animalsZIAAG000390 · NIA · NATIONAL INSTITUTE ON AGING · PI SUNG, MYONG-HEE · 2016 to 2025
$24.4M
Intramural NIH HHS Z99 AG999999
6 · The paper itself

Abstract

The three dimensional folding of mammalian genomes is cell type specific and difficult to alter suggesting that it is an important component of gene regulation. However, given the multitude of chromatin-associating factors, the mechanisms driving the colocalization of active chromosomal domains and the role of this organization in regulating the transcription program in adipocytes are not clear. Analysis of genome-wide chromosomal associations revealed cell type-specific spatial clustering of adipogenic genes in 3T3-L1 cells. Time course analysis demonstrated that the adipogenic 'hub', sampled by PPARγ and Lpin1, undergoes orchestrated reorganization during adipogenesis. Coupling the dynamics of genome architecture with multiple chromatin datasets indicated that among all the transcription factors (TFs) tested, RXR is central to genome reorganization at the beginning of adipogenesis. Interestingly, at the end of differentiation, the adipogenic hub was shifted to an H3K27me3-repressive environment in conjunction with attenuation of gene transcription. We propose a stage-specific hierarchy for the activity of TFs contributing to the establishment of an adipogenic genome architecture that brings together the adipogenic genetic program. In addition, the repositioning of this network in a H3K27me3-rich environment at the end of differentiation may contribute to the stabilization of gene transcription levels and reduce the developmental plasticity of these specialized cells. DATABASE: All sequence data reported in this paper have been deposited at GEO (http://www.ncbi.nlm.nih.gov/geo/) (GSE92475).

Indexed as

3T3-L1 CellsAdipocytesAdipogenesisAnimalsB-LymphocytesCCAAT-Enhancer-Binding Protein-betaCCAAT-Enhancer-Binding ProteinsCell DifferentiationChromatinGene Expression ProfilingGene Expression RegulationHistonesInterferon-gammaMiceNuclear ProteinsOrgan SpecificityCCAAT-Enhancer-Binding Protein-betaCCAAT-Enhancer-Binding ProteinsCEBPA protein, mouseCebpb protein, mouseChromatinHistonesIFNG protein, mouseInterferon-gammaLpin1 protein, mouseNuclear ProteinsPhosphatidate PhosphatasePPAR gammaRetinoid X Receptorsadipogenesischromosome conformationtranscriptiontranscription factor

Identifiers

PMID28755519
PMCPMC5626622
OpenAlexW2741546568

What OpenQuestion holds

Textmetadata
LicenceTDM
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.