Evidence map›Paper›PMID 27461729›Full record

ArticleNature communications2016

Systematic identification of protein combinations mediating chromatin looping.

Kai Zhang, Nan Li, Richard I Ainsworth, Wei Wang

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
1.2field-weighted citation impact, top 20% 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.

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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.

Kai ZhangGraduate Program in Bioinformatics and Systems Biology, University of California, La Jolla, San Diego, California 92093-0359, USA.ORCID http://orcid.org/0000-0003-3454-7357
Nan LiDepartment of Chemistry and Biochemistry, University of California, La Jolla, San Diego, California 92093-0359, USA.ORCID http://orcid.org/0000-0001-7826-4688
Richard I AinsworthDepartment of Chemistry and Biochemistry, University of California, La Jolla, San Diego, California 92093-0359, USA.
Wei WangGraduate Program in Bioinformatics and Systems Biology, University of California, La Jolla, San Diego, California 92093-0359, USA.
University of California San Diego · US

Funding

Center for Mammalian Regulatory GenomicsU54HG006997 · NHGRI · LUDWIG INSTITUTE FOR CANCER RES LTD · PI REN, BING · 2012 to 2016
$14.3M
NHGRI NIH HHS U54 HG006997
6 · The paper itself

Abstract

Chromatin looping plays a pivotal role in gene expression and other biological processes through bringing distal regulatory elements into spatial proximity. The formation of chromatin loops is mainly mediated by DNA-binding proteins (DBPs) that bind to the interacting sites and form complexes in three-dimensional (3D) space. Previously, identification of DBP cooperation has been limited to those binding to neighbouring regions in the proximal linear genome (1D cooperation). Here we present the first study that integrates protein ChIP-seq and Hi-C data to systematically identify both the 1D- and 3D-cooperation between DBPs. We develop a new network model that allows identification of cooperation between multiple DBPs and reveals cell-type-specific and -independent regulations. Using this framework, we retrieve many known and previously unknown 3D-cooperations between DBPs in chromosomal loops that may be a key factor in influencing the 3D organization of chromatin.

Indexed as

Nucleic Acid ConformationBase SequenceChromatinDNA-Binding ProteinsGene Regulatory NetworksHumansK562 CellsModels, BiologicalNormal DistributionProtein BindingChromatinDNA-Binding Proteins

Identifiers

PMID27461729
PMCPMC4974460
OpenAlexW2481193391

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.