Evidence map›Paper›PMID 19815308›Full record

ArticleTrends in genetics : TIG2009

Different gene regulation strategies revealed by analysis of binding motifs.

Zeba Wunderlich, Leonid A Mirny

Open access · greenAbstract read
In one paragraph

Article in Trends in genetics : TIG, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers.

0numbers the graph read from it
0cells of the map it votes in
164citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

164 citing papers in PubMed, 303 citations in OpenAlex.

  1. Article
  2. Article
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  4. Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026
    Review
  5. NovelbioRxiv : the preprint server for biology · 2026
    Article
  6. Elevated MyoD1 levels expand genome-wide binding and the repertoire of regulated genes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. iScience · 2025
    Article
  14. Review
  15. DNA-Protein Binding is Dominated by Short Anchoring Elements.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Chromatin enables precise and scalable gene regulation with factors of limited specificity.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Article

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

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

2 authors at 2 institutions in 1 country.

Zeba WunderlichDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Leonid A Mirny
Center for Systems Biology · USHarvard–MIT Division of Health Sciences and Technology · US

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
Howard Hughes Medical InstituteNLM NIH HHS U54 LM008748
6 · The paper itself

Abstract

Coordinated regulation of gene expression relies on transcription factors (TFs) binding to specific DNA sites. Our large-scale information-theoretical analysis of > 950 TF-binding motifs demonstrates that prokaryotes and eukaryotes use strikingly different strategies to target TFs to specific genome locations. Although bacterial TFs can recognize a specific DNA site in the genomic background, eukaryotic TFs exhibit widespread, nonfunctional binding and require clustering of sites to achieve specificity. We find support for this mechanism in a range of experimental studies and in our evolutionary analysis of DNA-binding domains. Our systematic characterization of binding motifs provides a quantitative assessment of the differences in transcription regulation in prokaryotes and eukaryotes.

Indexed as

Gene Expression RegulationAlgorithmsBase SequenceBinding SitesEukaryotic CellsGenomeModels, GeneticProkaryotic CellsProtein BindingTranscription FactorsTranscription Factors

Identifiers

PMID19815308
PMCPMC3697852
OpenAlexW2140754446

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.