Evidence map›Paper›PMID 30359306›Full record

ArticleGenome biology2018

Canonical and single-cell Hi-C reveal distinct chromatin interaction sub-networks of mammalian transcription factors.

Xiaoyan Ma, Daphne Ezer, Boris Adryan, Tim J Stevens

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

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  4. Regulation of Chromatin Architecture by Transcription Factor Binding.bioRxiv : the preprint server for biology · 2023
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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 4 institutions in 2 countries.

Xiaoyan MaDepartment of Genetics, University of Cambridge, Downing Street, Cambridge, CB2 3EH, UK.
Daphne EzerThe Alan Turing Institute for Data Science, British Library, 96 Euston Rd, Kings Cross, London, NW1 2DB, UK.
Boris AdryanMerck KGaA, Chief Digital Office, 64293, Darmstadt, Germany.
Tim J StevensMRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Francis Crick Avenue, Cambridge, CB2 0QH, UK. tstevens@mrc-lmb.cam.ac.uk.ORCID 0000-0001-6475-2074
Merck (Germany) · DEMRC Laboratory of Molecular Biology · GBTuring Institute · GBUniversity of Cambridge · GB

Funding

Medical Research Council MC_U105178783
6 · The paper itself

Abstract

backgroundTranscription factor (TF) binding to regulatory DNA sites is a key determinant of cell identity within multi-cellular organisms and has been studied extensively in relation to site affinity and chromatin modifications. There has been a strong focus on the inference of TF-gene regulatory networks and TF-TF physical interaction networks. Here, we present a third type of TF network, the spatial network of co-localized TF binding sites within the three-dimensional genome.

resultsUsing published canonical Hi-C data and single-cell genome structures, we assess the spatial proximity of a genome-wide array of potential TF-TF co-localizations in human and mouse cell lines. For individual TFs, the abundance of occupied binding sites shows a positive correspondence with their clustering in three dimensions, and this is especially apparent for weak TF binding sites and at enhancer regions. An analysis between different TF proteins identifies significantly proximal pairs, which are enriched in reported physical interactions. Furthermore, clustering of different TFs based on proximity enrichment identifies two partially segregated co-localization sub-networks, involving different TFs in different cell types. Using data from both human lymphoblastoid cells and mouse embryonic stem cells, we find that these sub-networks are enriched within, but not exclusive to, different chromosome sub-compartments that have been identified previously in Hi-C data.

conclusionsThis suggests that the association of TFs within spatial networks is closely coupled to gene regulatory networks. This applies to both differentiated and undifferentiated cells and is a potential causal link between lineage-specific TF binding and chromosome sub-compartment segregation.

Indexed as

Gene Regulatory NetworksAnimalsBinding SitesCell LineChromatinGenes, ReporterGenomeHumansLymphocytesMammalsMiceOrgan SpecificityTranscription FactorsChromatinTranscription FactorsChromatin conformational captureChromosome compartmentGenome structureHi-CNuclear organizationProximity networkTranscription factor

Identifiers

PMID30359306
PMCPMC6203279
OpenAlexW2898320344

What Socratic 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 Socratic graph.