Evidence map›Paper›PMID 20378774›Full record

ArticleScience (New York, N.Y.)2010

Five-vertebrate ChIP-seq reveals the evolutionary dynamics of transcription factor binding.

Dominic Schmidt, Michael D Wilson, Benoit Ballester, Petra C Schwalie, Gordon D Brown, Aileen Marshall, Claudia Kutter, Stephen Watt, Celia P Martinez-Jimenez, Sarah Mackay and 3 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Science (New York, N.Y.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 468 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
468citing papers in PubMed, 1 pooled it
36.1field-weighted citation impact, top 1% 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

468 citing papers in PubMed, 1 synthesis or guideline pooled it, 733 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. The molecular evolution of vertebrate organs.Nature ecology & evolution · 2026
    Review
  8. Article
  9. Article
  10. Decoding thebioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. OptimDase: An Algorithm for Predicting DNA Binding Sites with Combined Feature Encoding.Interdisciplinary sciences, computational life sciences · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

408 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 2 countries.

Dominic SchmidtCancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Michael D Wilson
Benoit Ballester
Petra C Schwalie
Gordon D Brown
Aileen Marshall
Claudia Kutter
Stephen Watt
Celia P Martinez-Jimenez
Sarah Mackay
Iannis Talianidis
Paul Flicek
Duncan T Odom
Cancer Research UK · GBAlexander Fleming Biomedical Sciences Research Center · GREuropean Bioinformatics Institute · GBAddenbrooke's Hospital · GBWellcome Trust · GB

Funding

Cancer Research UK 15603Cancer Research UK A15603European Research Council 202218Wellcome Trust 062023Wellcome Trust 079643
6 · The paper itself

Abstract

Transcription factors (TFs) direct gene expression by binding to DNA regulatory regions. To explore the evolution of gene regulation, we used chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq) to determine experimentally the genome-wide occupancy of two TFs, CCAAT/enhancer-binding protein alpha and hepatocyte nuclear factor 4 alpha, in the livers of five vertebrates. Although each TF displays highly conserved DNA binding preferences, most binding is species-specific, and aligned binding events present in all five species are rare. Regions near genes with expression levels that are dependent on a TF are often bound by the TF in multiple species yet show no enhanced DNA sequence constraint. Binding divergence between species can be largely explained by sequence changes to the bound motifs. Among the binding events lost in one lineage, only half are recovered by another binding event within 10 kilobases. Our results reveal large interspecies differences in transcriptional regulation and provide insight into regulatory evolution.

Indexed as

Evolution, MolecularGene Expression RegulationGenomeAlgorithmsAnimalsBase SequenceBinding SitesBiological EvolutionCCAAT-Enhancer-Binding Protein-alphaChickensChromatin ImmunoprecipitationDNADogsGenome, HumanHepatocyte Nuclear Factor 4HumansCCAAT-Enhancer-Binding Protein-alphaDNAHepatocyte Nuclear Factor 4

Identifiers

PMID20378774
PMCPMC3008766
OpenAlexW2095005830

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.