Evidence map›Paper›PMID 27240697›Full record

ArticleNature communications2016

Mining 3D genome structure populations identifies major factors governing the stability of regulatory communities.

Chao Dai, Wenyuan Li, Harianto Tjong, Shengli Hao, Yonggang Zhou, Qingjiao Li, Lin Chen, Bing Zhu, Frank Alber, Xianghong Jasmine Zhou

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Uncovering the Principles of Genome Folding by 3D Chromatin Modeling.Cold Spring Harbor perspectives in biology · 2022
    Review
  7. Article
  8. Review
  9. Integrative approaches in genome structure analysis.Structure (London, England : 1993) · 2022
    Review
  10. Chromatin Hubs: A biological and computational outlook.Computational and structural biotechnology journal · 2022
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

10 authors at 2 institutions in 2 countries.

Chao DaiMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, California 90089, USA.
Wenyuan LiMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, California 90089, USA.
Harianto TjongMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, California 90089, USA.
Shengli HaoMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, California 90089, USA.
Yonggang ZhouMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, California 90089, USA.
Qingjiao LiMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, California 90089, USA.
Lin ChenMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, California 90089, USA.
Bing ZhuNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Frank AlberMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, California 90089, USA.
Xianghong Jasmine ZhouMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, California 90089, USA.
University of Southern California · USInstitute of Biophysics · CN

Funding

MAPGen Knowledge Base (MAPGenKB) and Coordination CenterU01HL108634 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRANDALL, EDWARD DAVID, ZHOU, XIANGHONG JASMINE · 2011 to 2015
$5.3M
Mapping the 3D Genome LandscapeU54DK107981 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ALBER, FRANK, CHEN, LIN · 2015 to 2019
$4.2M
Explore FOXP3's role in the 3D organization of the genomeR01AI113009 · NIAID · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, LIN · 2015 to 2019
$1.9M
NHLBI NIH HHS U01 HL108634NIAID NIH HHS R01 AI113009NIDDK NIH HHS U54 DK107981
6 · The paper itself

Abstract

Three-dimensional (3D) genome structures vary from cell to cell even in an isogenic sample. Unlike protein structures, genome structures are highly plastic, posing a significant challenge for structure-function mapping. Here we report an approach to comprehensively identify 3D chromatin clusters that each occurs frequently across a population of genome structures, either deconvoluted from ensemble-averaged Hi-C data or from a collection of single-cell Hi-C data. Applying our method to a population of genome structures (at the macrodomain resolution) of lymphoblastoid cells, we identify an atlas of stable inter-chromosomal chromatin clusters. A large number of these clusters are enriched in binding of specific regulatory factors and are therefore defined as 'Regulatory Communities.' We reveal two major factors, centromere clustering and transcription factor binding, which significantly stabilize such communities. Finally, we show that the regulatory communities differ substantially from cell to cell, indicating that expression variability could be impacted by genome structures.

Indexed as

Cell LineCentromereChromatinChromosomes, HumanComputational BiologyData MiningGenome, HumanGenomic InstabilityGenomicsHumansIn Situ Hybridization, FluorescenceProtein BindingTranscription FactorsChromatinTranscription Factors

Identifiers

PMID27240697
PMCPMC4895025
OpenAlexW2417740254

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.