Evidence map›Paper›PMID 26271925›Full record

ArticleBMC genomics2015

Distinct polymer physics principles govern chromatin dynamics in mouse and Drosophila topological domains.

Vuthy Ea, Tom Sexton, Thierry Gostan, Laurie Herviou, Marie-Odile Baudement, Yunzhe Zhang, Soizik Berlivet, Marie-Noëlle Le Lay-Taha, Guy Cathala, Annick Lesne and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. DLK1/DIO3 locus upregulation by a β-catenin-dependent enhancer drives cell proliferation and liver tumorigenesis.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Article
  2. Article
  3. Article
  4. Quantitative Chromosome Conformation Capture (3C-qPCR).Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Review
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 4 institutions in 2 countries.

Vuthy EaInstitut de Génétique Moléculaire de Montpellier, UMR5535, CNRS, Université de Montpellier, 1919 Route de Mende, 34293, Montpellier, Cedex 5, France. vuthy.ea@igmm.cnrs.fr.
Tom SextonInstitut de Génétique Humaine, UPR 1142, CNRS, Montpellier, France. sexton@igbmc.fr.
Thierry GostanInstitut de Génétique Moléculaire de Montpellier, UMR5535, CNRS, Université de Montpellier, 1919 Route de Mende, 34293, Montpellier, Cedex 5, France. thierry.gostan@igmm.cnrs.fr.
Laurie HerviouInstitut de Génétique Moléculaire de Montpellier, UMR5535, CNRS, Université de Montpellier, 1919 Route de Mende, 34293, Montpellier, Cedex 5, France. laurie.herviou@voila.fr.
Marie-Odile BaudementInstitut de Génétique Moléculaire de Montpellier, UMR5535, CNRS, Université de Montpellier, 1919 Route de Mende, 34293, Montpellier, Cedex 5, France. marie-odile.baudement@igmm.cnrs.fr.
Yunzhe ZhangSchool of Biology and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA. yunzhe_zhang@hotmail.com.
Soizik BerlivetInstitut de Génétique Moléculaire de Montpellier, UMR5535, CNRS, Université de Montpellier, 1919 Route de Mende, 34293, Montpellier, Cedex 5, France. soizik.berlivet@igmm.cnrs.fr.
Marie-Noëlle Le Lay-TahaInstitut de Génétique Moléculaire de Montpellier, UMR5535, CNRS, Université de Montpellier, 1919 Route de Mende, 34293, Montpellier, Cedex 5, France. Marie-Noelle.Taha@univ-montp2.fr.
Guy CathalaInstitut de Génétique Moléculaire de Montpellier, UMR5535, CNRS, Université de Montpellier, 1919 Route de Mende, 34293, Montpellier, Cedex 5, France. guy.cathala@igmm.cnrs.fr.
Annick LesneInstitut de Génétique Moléculaire de Montpellier, UMR5535, CNRS, Université de Montpellier, 1919 Route de Mende, 34293, Montpellier, Cedex 5, France. lesne@lptmc.jussieu.fr.
Jean-Marc VictorInstitut de Génétique Moléculaire de Montpellier, UMR5535, CNRS, Université de Montpellier, 1919 Route de Mende, 34293, Montpellier, Cedex 5, France. victor@lptmc.jussieu.fr.
Yuhong FanSchool of Biology and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA. yuhong.fan@biology.gatech.edu.
Giacomo CavalliInstitut de Génétique Humaine, UPR 1142, CNRS, Montpellier, France. Giacomo.Cavalli@igh.cnrs.fr.
Thierry FornéInstitut de Génétique Moléculaire de Montpellier, UMR5535, CNRS, Université de Montpellier, 1919 Route de Mende, 34293, Montpellier, Cedex 5, France. forne@igmm.cnrs.fr.
Institut de Génétique Moléculaire de Montpellier · FRGeorgia Institute of Technology · USInstitut de Génétique Humaine · FRLaboratoire de Physique Théorique de la Matière Condensée · FR

Funding

Role of Linker Histone H1 in Epigenetic Gene RegulationR01GM085261 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI FAN, YUHONG · 2008 to 2012
$2.0M
NIGMS NIH HHS GM085261NIGMS NIH HHS R01 GM085261
6 · The paper itself

Abstract

backgroundIn higher eukaryotes, the genome is partitioned into large "Topologically Associating Domains" (TADs) in which the chromatin displays favoured long-range contacts. While a crumpled/fractal globule organization has received experimental supports at higher-order levels, the organization principles that govern chromatin dynamics within these TADs remain unclear. Using simple polymer models, we previously showed that, in mouse liver cells, gene-rich domains tend to adopt a statistical helix shape when no significant locus-specific interaction takes place.

resultsHere, we use data from diverse 3C-derived methods to explore chromatin dynamics within mouse and Drosophila TADs. In mouse Embryonic Stem Cells (mESC), that possess large TADs (median size of 840 kb), we show that the statistical helix model, but not globule models, is relevant not only in gene-rich TADs, but also in gene-poor and gene-desert TADs. Interestingly, this statistical helix organization is considerably relaxed in mESC compared to liver cells, indicating that the impact of the constraints responsible for this organization is weaker in pluripotent cells. Finally, depletion of histone H1 in mESC alters local chromatin flexibility but not the statistical helix organization. In Drosophila, which possesses TADs of smaller sizes (median size of 70 kb), we show that, while chromatin compaction and flexibility are finely tuned according to the epigenetic landscape, chromatin dynamics within TADs is generally compatible with an unconstrained polymer configuration.

conclusionsModels issued from polymer physics can accurately describe the organization principles governing chromatin dynamics in both mouse and Drosophila TADs. However, constraints applied on this dynamics within mammalian TADs have a peculiar impact resulting in a statistical helix organization.

Indexed as

Models, MolecularModels, StatisticalAnimalsChromatinChromatin Assembly and DisassemblyDNADrosophila melanogasterEpigenesis, GeneticLiverMiceMouse Embryonic Stem CellsNucleic Acid ConformationChromatinDNA

Identifiers

PMID26271925
PMCPMC4536789
OpenAlexW2141401948

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.