Evidence map›Paper›PMID 31114856›Full record

ArticleGenome biology and evolution2019

The Role of Chromatin Accessibility in cis-Regulatory Evolution.

Pei-Chen Peng, Pierre Khoueiry, Charles Girardot, James P Reddington, David A Garfield, Eileen E M Furlong, Saurabh Sinha

Abstract read
In one paragraph

Article in Genome biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  6. Article
  7. Exploration of Tools for the Interpretation of Human Non-Coding Variants.International journal of molecular sciences · 2022
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Profiling Chromatin Accessibility at Single-cell Resolution.Genomics, proteomics & bioinformatics · 2021
    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

7 authors.

Pei-Chen PengDepartment of Computer Science, University of Illinois at Urbana-Champaign.
Pierre KhoueiryEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
Charles GirardotEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
James P ReddingtonEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
David A GarfieldEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
Eileen E M FurlongEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
Saurabh SinhaDepartment of Computer Science, University of Illinois at Urbana-Champaign.

Funding

Quantitative Modeling of Sequence-to-Expression RelationshipR01GM114341 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SINHA, SAURABH · 2015 to 2018
$1.0M
NIGMS NIH HHS R01 GM114341
6 · The paper itself

Abstract

Transcription factor (TF) binding is determined by sequence as well as chromatin accessibility. Although the role of accessibility in shaping TF-binding landscapes is well recorded, its role in evolutionary divergence of TF binding, which in turn can alter cis-regulatory activities, is not well understood. In this work, we studied the evolution of genome-wide binding landscapes of five major TFs in the core network of mesoderm specification, between Drosophila melanogaster and Drosophila virilis, and examined its relationship to accessibility and sequence-level changes. We generated chromatin accessibility data from three important stages of embryogenesis in both Drosophila melanogaster and Drosophila virilis and recorded conservation and divergence patterns. We then used multivariable models to correlate accessibility and sequence changes to TF-binding divergence. We found that accessibility changes can in some cases, for example, for the master regulator Twist and for earlier developmental stages, more accurately predict binding change than is possible using TF-binding motif changes between orthologous enhancers. Accessibility changes also explain a significant portion of the codivergence of TF pairs. We noted that accessibility and motif changes offer complementary views of the evolution of TF binding and developed a combined model that captures the evolutionary data much more accurately than either view alone. Finally, we trained machine learning models to predict enhancer activity from TF binding and used these functional models to argue that motif and accessibility-based predictors of TF-binding change can substitute for experimentally measured binding change, for the purpose of predicting evolutionary changes in enhancer activity.

Indexed as

AnimalsChromatinDrosophila melanogasterDrosophila ProteinsEvolution, MolecularProtein BindingTranscription FactorsChromatinDrosophila ProteinsTranscription Factorschromatin accessibilitycis-regulatory evolutionenhancer activityinterspeciessequence motiftranscription factor binding

Identifiers

PMID31114856
PMCPMC6601868

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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.