Evidence map›Paper›PMID 30142147›Full record

ArticlePLoS computational biology2018

coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers.

Alena van Bömmel, Michael I Love, Ho-Ryun Chung, Martin Vingron

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Modeling strategies forBioinformatics advances · 2026
    Article
  2. Article
  3. TF-COMB - Discovering grammar of transcription factor binding sites.Computational and structural biotechnology journal · 2022
    Article
  4. Article
  5. Review
  6. Article
  7. Article
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 3 institutions in 2 countries.

Alena van BömmelDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany.ORCID 0000-0002-8434-8586
Michael I LoveDepartment of Biostatistics, Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Ho-Ryun ChungOtto Warburg Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Martin VingronDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Max Planck Institute for Molecular Genetics · DEPhilipps University of Marburg · DEUniversity of North Carolina at Chapel Hill · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

Cell-type specific gene expression is regulated by the combinatorial action of transcription factors (TFs). In this study, we predict transcription factor (TF) combinations that cooperatively bind in a cell-type specific manner. We first divide DNase hypersensitive sites into cell-type specifically open vs. ubiquitously open sites in 64 cell types to describe possible cell-type specific enhancers. Based on the pattern contrast between these two groups of sequences we develop "co-occurring TF predictor on Cell-Type specific Enhancers" (coTRaCTE) - a novel statistical method to determine regulatory TF co-occurrences. Contrasting the co-binding of TF pairs between cell-type specific and ubiquitously open chromatin guarantees the high cell-type specificity of the predictions. coTRaCTE predicts more than 2000 co-occurring TF pairs in 64 cell types. The large majority (70%) of these TF pairs is highly cell-type specific and overlaps in TF pair co-occurrence are highly consistent among related cell types. Furthermore, independently validated co-occurring and directly interacting TFs are significantly enriched in our predictions. Focusing on the regulatory network derived from the predicted co-occurring TF pairs in embryonic stem cells (ESCs) we find that it consists of three subnetworks with distinct functions: maintenance of pluripotency governed by OCT4, SOX2 and NANOG, regulation of early development governed by KLF4, STAT3, ZIC3 and ZNF148 and general functions governed by MYC, TCF3 and YY1. In summary, coTRaCTE predicts highly cell-type specific co-occurring TFs which reveal new insights into transcriptional regulatory mechanisms.

Indexed as

AlgorithmsBinding SitesChromatinChromatin Assembly and DisassemblyComputer SimulationEnhancer Elements, GeneticForecastingGene Expression RegulationHumansKruppel-Like Factor 4Promoter Regions, GeneticProtein BindingRegulatory Sequences, Nucleic AcidTranscription FactorsChromatinKLF4 protein, humanKruppel-Like Factor 4Transcription Factors

Identifiers

PMID30142147
PMCPMC6126874
OpenAlexW2888292249

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.