Evidence map›Paper›PMID 23103170›Full record

ArticleCell reports2012

Large-scale functional organization of long-range chromatin interaction networks.

Kuljeet Singh Sandhu, Guoliang Li, Huay Mei Poh, Yu Ling Kelly Quek, Yee Yen Sia, Su Qin Peh, Fabianus Hendriyan Mulawadi, Joanne Lim, Mile Sikic, Francesca Menghi and 7 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
4.4field-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

63 citing papers in PubMed, 119 citations in OpenAlex.

  1. Article
  2. ACSS2/AATF Drives Soluble FasL-Mediated CD8Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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  12. Article
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  14. Chromatin Hubs: A biological and computational outlook.Computational and structural biotechnology journal · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Computational biology approaches for mapping transcriptional regulatory networks.Computational and structural biotechnology journal · 2021
    Review
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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

17 authors at 6 institutions in 6 countries.

Kuljeet Singh SandhuGenome Institute of Singapore, 60 Biopolis Street, Singapore 138672. sandhuks@iisermohali.ac.in
Guoliang Li
Huay Mei Poh
Yu Ling Kelly Quek
Yee Yen Sia
Su Qin Peh
Fabianus Hendriyan Mulawadi
Joanne Lim
Mile Sikic
Francesca Menghi
Anbupalam Thalamuthu
Wing Kin Sung
Xiaoan Ruan
Melissa Jane Fullwood
Edison Liu
Peter Csermely
Yijun Ruan
Genome Institute of Singapore · SGJackson Laboratory · USNational University of Singapore · SGSemmelweis University · HUUniversity of Queensland · AUUniversity of Zagreb · HR

Funding

Comprehensive Characterization and Classification of the Human TranscriptomeU54HG004557 · NHGRI · COLD SPRING HARBOR LABORATORY · PI GINGERAS, THOMAS RAYMOND · 2007 to 2011
$14.5M
Whole Genome Chromatin Interaction Analysis using Pair-End-diTagging (CIA-PET)R01HG004456 · NHGRI · GENOME INSTITUTE OF SINGAPORE · PI RUAN, YIJUN · 2007 to 2010
$1.3M
NHGRI NIH HHS R01 HG004456NHGRI NIH HHS R01HG004456NHGRI NIH HHS U54 HG004557NHGRI NIH HHS U54HG004557
6 · The paper itself

Abstract

Chromatin interactions play important roles in transcription regulation. To better understand the underlying evolutionary and functional constraints of these interactions, we implemented a systems approach to examine RNA polymerase-II-associated chromatin interactions in human cells. We found that 40% of the total genomic elements involved in chromatin interactions converged to a giant, scale-free-like, hierarchical network organized into chromatin communities. The communities were enriched in specific functions and were syntenic through evolution. Disease-associated SNPs from genome-wide association studies were enriched among the nodes with fewer interactions, implying their selection against deleterious interactions by limiting the total number of interactions, a model that we further reconciled using somatic and germline cancer mutation data. The hubs lacked disease-associated SNPs, constituted a nonrandomly interconnected core of key cellular functions, and exhibited lethality in mouse mutants, supporting an evolutionary selection that favored the nonrandom spatial clustering of the least-evolving key genomic domains against random genetic or transcriptional errors in the genome. Altogether, our analyses reveal a systems-level evolutionary framework that shapes functionally compartmentalized and error-tolerant transcriptional regulation of human genome in three dimensions.

Indexed as

AnimalsBiological EvolutionChromatinGene Regulatory NetworksGenomeGenome, HumanGenome-Wide Association StudyHumansK562 CellsMCF-7 CellsMicePolymorphism, Single NucleotidePromoter Regions, GeneticRNA Polymerase IITranscription, GeneticChromatinRNA Polymerase II

Identifiers

PMID23103170
PMCPMC4181841
OpenAlexW2097128336

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.