Evidence map›Paper›PMID 24821768›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Global view of enhancer-promoter interactome in human cells.

Bing He, Changya Chen, Li Teng, Kai Tan

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
174citing papers in PubMed, 3 pooled it
11.4field-weighted citation impact, top 1% 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

174 citing papers in PubMed, 3 syntheses or guidelines pooled it, 292 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
  4. Risk variants disrupting enhancers of TProceedings of the National Academy of Sciences of the United States of America · 2019
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  17. EPIFBMC: A New Model for Enhancer-Promoter Interaction Prediction.International journal of molecular sciences · 2025
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114 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

4 authors at 1 institution in 1 country.

Bing HeInterdisciplinary Graduate Program in Genetics and.
Changya ChenInterdisciplinary Graduate Program in Genetics and.
Li TengDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242.
Kai TanInterdisciplinary Graduate Program in Genetics andDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242 kai-tan@uiowa.edu.
University of Iowa · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Brandi Janssen · 1990 to 2026
$40.5M
EPIGENETIC REGULATION OF STEM CELL FATE CHOICER01HG006130 · NHGRI · UNIVERSITY OF IOWA · PI TAN, KAI · 2012 to 2016
$1.7M
Computational Methods for Unraveling Combinatorial Gene RegulationR01GM108716 · NIGMS · UNIVERSITY OF IOWA · PI TAN, KAI · 2014 to 2017
$1.2M
A TOOLKIT FOR IDENTIFYING CAUSAL VARIANTS IN TRANSCRIPTIONAL ENHANCERSR01GM104369 · NIGMS · UNIVERSITY OF IOWA · PI TAN, KAI · 2014 to 2017
$1.2M
NHGRI NIH HHS HG006130NHGRI NIH HHS R01 HG006130NIEHS NIH HHS P30 ES005605NIGMS NIH HHS R01 GM104369NIGMS NIH HHS R01 GM108716
6 · The paper itself

Abstract

Enhancer mapping has been greatly facilitated by various genomic marks associated with it. However, little is available in our toolbox to link enhancers with their target promoters, hampering mechanistic understanding of enhancer-promoter (EP) interaction. We develop and characterize multiple genomic features for distinguishing true EP pairs from noninteracting pairs. We integrate these features into a probabilistic predictor for EP interactions. Multiple validation experiments demonstrate a significant improvement over state-of-the-art approaches. Systematic analyses of EP interactions across 12 cell types reveal several global features of EP interactions: (i) a larger fraction of EP interactions are cell type specific than enhancers; (ii) promoters controlled by multiple enhancers have higher tissue specificity, but the regulating enhancers are less conserved; (iii) cohesin plays a role in mediating tissue-specific EP interactions via chromatin looping in a CTCF-independent manner. Our approach presents a systematic and effective strategy to decipher the mechanisms underlying EP communication.

Indexed as

Models, GeneticCell Cycle ProteinsChromosomal Proteins, Non-HistoneCohesinsComputational BiologyComputer SimulationEnhancer Elements, GeneticGene Expression RegulationGenomicsHumansPromoter Regions, GeneticSignal TransductionCell Cycle ProteinsChromosomal Proteins, Non-HistoneCohesins3Cbioinformaticschromatin interactiongene regulationgenomics

Identifiers

PMID24821768
PMCPMC4040567
OpenAlexW2168191908

What OpenQuestion holds

Textmetadata
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.