Evidence map›Paper›PMID 25228660›Full record

ArticleGenome research2014

Genome-wide map of regulatory interactions in the human genome.

Nastaran Heidari, Douglas H Phanstiel, Chao He, Fabian Grubert, Fereshteh Jahanbani, Maya Kasowski, Michael Q Zhang, Michael P Snyder

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers.

0numbers the graph read from it
0cells of the map it votes in
180citing papers in PubMed
–field-weighted citation impact
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

180 citing papers in PubMed, 298 citations in OpenAlex.

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120 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

8 authors at 5 institutions in 2 countries.

Nastaran HeidariDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Douglas H PhanstielDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Chao HeMOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and System Biology, TNLIST/Department of Automation, Tsinghua University, Beijing 100084, China;
Fabian GrubertDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Fereshteh JahanbaniDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Maya KasowskiDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA; Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut 06520, USA;
Michael Q ZhangMOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and System Biology, TNLIST/Department of Automation, Tsinghua University, Beijing 100084, China; Department of Molecular and Cell Biology, Center for Systems Biology, The University of Texas at Dallas, Richardson, Texas 75080-3021, USA.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA; mpsnyder@stanford.edu.
Stanford University · USStanford Medicine · USThe University of Texas at Dallas · USTsinghua University · CNYale University · US

Funding

iPSC Derived EC as Surrogates Using Pulmonary Hypertension as a Prototype DiseaseU01HL107393 · NHLBI · STANFORD UNIVERSITY · PI RABINOVITCH, MARLENE, SNYDER, MICHAEL P. · 2011 to 2015
$8.7M
Genomics of Gene Regulation in Progenitor to Differentiated KeratinocytesU01HG007919 · NHGRI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2015 to 2017
$7.0M
NHGRI NIH HHS 5U54HG00699602NHGRI NIH HHS U01 HG007919NHLBI NIH HHS U01 HL107393
6 · The paper itself

Abstract

Increasing evidence suggests that interactions between regulatory genomic elements play an important role in regulating gene expression. We generated a genome-wide interaction map of regulatory elements in human cells (ENCODE tier 1 cells, K562, GM12878) using Chromatin Interaction Analysis by Paired-End Tag sequencing (ChIA-PET) experiments targeting six broadly distributed factors. Bound regions covered 80% of DNase I hypersensitive sites including 99.7% of TSS and 98% of enhancers. Correlating this map with ChIP-seq and RNA-seq data sets revealed cohesin, CTCF, and ZNF143 as key components of three-dimensional chromatin structure and revealed how the distal chromatin state affects gene transcription. Comparison of interactions between cell types revealed that enhancer-promoter interactions were highly cell-type-specific. Construction and comparison of distal and proximal regulatory networks revealed stark differences in structure and biological function. Proximal binding events are enriched at genes with housekeeping functions, while distal binding events interact with genes involved in dynamic biological processes including response to stimulus. This study reveals new mechanistic and functional insights into regulatory region organization in the nucleus.

Indexed as

Chromosome MappingEpistasis, GeneticGenome, HumanGenome-Wide Association StudyRegulatory Sequences, Nucleic AcidCCCTC-Binding FactorCell Cycle ProteinsCell LineChromatinChromatin ImmunoprecipitationChromosomal Proteins, Non-HistoneCluster AnalysisCohesinsComputational BiologyDatasets as TopicEnhancer Elements, GeneticCCCTC-Binding FactorCell Cycle ProteinsChromatinChromosomal Proteins, Non-HistoneCohesinsCTCF protein, humanRepressor ProteinsTrans-ActivatorsTranscription FactorsZNF143 protein, human

Identifiers

PMID25228660
PMCPMC4248309
OpenAlexW2169710039

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.