Evidence map›Paper›PMID 28118358›Full record

ArticlePLoS computational biology2017

Genome-Wide Association between Transcription Factor Expression and Chromatin Accessibility Reveals Regulators of Chromatin Accessibility.

David Lamparter, Daniel Marbach, Rico Rueedi, Sven Bergmann, Zoltán Kutalik

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Integrating ChIP-seq with other functional genomics data.Briefings in functional genomics · 2018
    Review
  10. Article
  11. Review
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

5 authors.

David LamparterDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-9216-8825
Daniel MarbachDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-6686-9249
Rico RueediDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Sven BergmannDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-6785-9034
Zoltán KutalikSwiss institute of Bioinformatics, Lausanne, Switzerland.ORCID 0000-0001-8285-7523

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To better understand genome regulation, it is important to uncover the role of transcription factors in the process of chromatin structure establishment and maintenance. Here we present a data-driven approach to systematically characterise transcription factors that are relevant for this process. Our method uses a linear mixed modelling approach to combine datasets of transcription factor binding motif enrichments in open chromatin and gene expression across the same set of cell lines. Applying this approach to the ENCODE dataset, we confirm already known and imply numerous novel transcription factors that play a role in the establishment or maintenance of open chromatin. In particular, our approach rediscovers many factors that have been annotated as pioneer factors.

Indexed as

Genome-Wide Association StudyBinding SitesCell LineChromatinChromatin ImmunoprecipitationComputational BiologyHumansTranscription FactorsChromatinTranscription Factors

Identifiers

PMID28118358
PMCPMC5261565

What OpenQuestion holds

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LicenceCC BY
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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.