Evidence map›Paper›PMID 25394363›Full record

ArticleGenome research2015

Decoupling of evolutionary changes in transcription factor binding and gene expression in mammals.

Emily S Wong, David Thybert, Bianca M Schmitt, Klara Stefflova, Duncan T Odom, Paul Flicek

Open access · hybridAbstract read
In one paragraph

Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Regulatory Plasticity of the Human Genome.Molecular biology and evolution · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Emily S WongEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom;ORCID http://orcid.org/0000-0003-0315-2942
David ThybertEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom;ORCID http://orcid.org/0000-0001-7806-7318
Bianca M SchmittUniversity of Cambridge, Cancer Research UK - Cambridge Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, United Kingdom;
Klara StefflovaUniversity of Cambridge, Cancer Research UK - Cambridge Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, United Kingdom;
Duncan T OdomUniversity of Cambridge, Cancer Research UK - Cambridge Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, United Kingdom; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, United Kingdom duncan.odom@cruk.cam.ac.uk flicek@ebi.ac.uk.
Paul FlicekEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, United Kingdom duncan.odom@cruk.cam.ac.uk flicek@ebi.ac.uk.ORCID http://orcid.org/0000-0002-3897-7955
European Bioinformatics Institute · GBUniversity of Cambridge · GB

Funding

Cancer Research UK 15603Cancer Research UK 20412Wellcome TrustWellcome Trust WT095908Wellcome Trust WT098051
6 · The paper itself

Abstract

To understand the evolutionary dynamics between transcription factor (TF) binding and gene expression in mammals, we compared transcriptional output and the binding intensities for three tissue-specific TFs in livers from four closely related mouse species. For each transcription factor, TF-dependent genes and the TF binding sites most likely to influence mRNA expression were identified by comparing mRNA expression levels between wild-type and TF knockout mice. Independent evolution was observed genome-wide between the rate of change in TF binding and the rate of change in mRNA expression across taxa, with the exception of a small number of TF-dependent genes. We also found that binding intensities are preferentially conserved near genes whose expression is dependent on the TF, and the conservation is shared among binding peaks in close proximity to each other near the TSS. Expression of TF-dependent genes typically showed an increased sensitivity to changes in binding levels as measured by mRNA abundance. Taken together, these results highlight a significant tolerance to evolutionary changes in TF binding intensity in mammalian transcriptional networks and suggest that some TF-dependent genes may be largely regulated by a single TF across evolution.

Indexed as

Biological EvolutionGene Expression RegulationAnimalsBinding SitesCCAAT-Enhancer-Binding ProteinsChromatin ImmunoprecipitationEvolution, MolecularGenetic VariationHepatocyte Nuclear Factor 4High-Throughput Nucleotide SequencingMammalsMiceMice, KnockoutModels, StatisticalProtein BindingSpecies SpecificityCCAAT-Enhancer-Binding ProteinsHepatocyte Nuclear Factor 4Transcription Factors

Identifiers

PMID25394363
PMCPMC4315291
OpenAlexW2096740813

What OpenQuestion holds

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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.