Evidence map›Paper›PMID 29089515›Full record

ArticleScientific reports2017

Chromatin interaction networks revealed unique connectivity patterns of broad H3K4me3 domains and super enhancers in 3D chromatin.

Asa Thibodeau, Eladio J Márquez, Dong-Guk Shin, Paola Vera-Licona, Duygu Ucar

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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
2.4field-weighted citation impact, top 11% 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, 55 citations in OpenAlex.

  1. Review
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  14. Chromatin Hubs: A biological and computational outlook.Computational and structural biotechnology journal · 2022
    Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Chromatin network markers of leukemia.Bioinformatics (Oxford, England) · 2020
    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

5 authors at 3 institutions in 1 country.

Asa ThibodeauDepartment of Computer Science & Engineering, University of Connecticut, Storrs, CT, USA.
Eladio J MárquezThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Dong-Guk ShinDepartment of Computer Science & Engineering, University of Connecticut, Storrs, CT, USA.
Paola Vera-LiconaCenter for Quantitative Medicine, University of Connecticut Health Center, Farmington, CT, USA. veralicona@uchc.edu.
Duygu UcarThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA. duygu.ucar@jax.org.
UConn Health · USUniversity of Connecticut · USJackson Laboratory · US

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
Identification and Interpretation of Chromatin Changes Associated with the Aging of Human Immune CellsR35GM124922 · NIGMS · JACKSON LABORATORY · PI UCAR, DUYGU · 2017 to 2021
$2.3M
NCI NIH HHS P30 CA034196NIGMS NIH HHS R35 GM124922
6 · The paper itself

Abstract

Broad domain promoters and super enhancers are regulatory elements that govern cell-specific functions and harbor disease-associated sequence variants. These elements are characterized by distinct epigenomic profiles, such as expanded deposition of histone marks H3K27ac for super enhancers and H3K4me3 for broad domains, however little is known about how they interact with each other and the rest of the genome in three-dimensional chromatin space. Using network theory methods, we studied chromatin interactions between broad domains and super enhancers in three ENCODE cell lines (K562, MCF7, GM12878) obtained via ChIA-PET, Hi-C, and Hi-CHIP assays. In these networks, broad domains and super enhancers interact more frequently with each other compared to their typical counterparts. Network measures and graphlets revealed distinct connectivity patterns associated with these regulatory elements that are robust across cell types and alternative assays. Machine learning models showed that these connectivity patterns could effectively discriminate broad domains from typical promoters and super enhancers from typical enhancers. Finally, targets of broad domains in these networks were enriched in disease-causing SNPs of cognate cell types. Taken together these results suggest a robust and unique organization of the chromatin around broad domains and super enhancers: loci critical for pathologies and cell-specific functions.

Indexed as

Cell LineChromatinChromatin ImmunoprecipitationConnectomeEnhancer Elements, GeneticEpigenomicsHistone CodeHistonesHumansPromoter Regions, GeneticProtein DomainsChromatinhistone H3 trimethyl Lys4Histones

Identifiers

PMID29089515
PMCPMC5663946
OpenAlexW2766116317

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.