Evidence map›Paper›PMID 20363979›Full record

ArticleGenome research2010

Homotypic clusters of transcription factor binding sites are a key component of human promoters and enhancers.

Valer Gotea, Axel Visel, John M Westlund, Marcelo A Nobrega, Len A Pennacchio, Ivan Ovcharenko

Open access · hybridAbstract read
In one paragraph

Article in Genome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
161citing papers in PubMed, 1 pooled it
–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

161 citing papers in PubMed, 1 synthesis or guideline pooled it, 258 citations in OpenAlex.

  1. Pooled it
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  7. aBIOTECH · 2025
    Review
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  15. From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation.Computational and structural biotechnology journal · 2025
    Article
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  19. Review
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101 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

6 authors at 3 institutions in 1 country.

Valer GoteaNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA.
Axel Visel
John M Westlund
Marcelo A Nobrega
Len A Pennacchio
Ivan Ovcharenko
National Institutes of Health · USUnited States Department of Energy · USUniversity of Chicago · US

Funding

Generation of an In Vivo Human Genome Transcriptional Enhancer DatasetR01HG003988 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Len Alexander Pennacchio · 2006 to 2026
$24.1M
Regulatory landscape of the human genome: comparative and evolutionary analysis.ZIALM200881 · NLM · NATIONAL LIBRARY OF MEDICINE · PI OVCHARENKO, IVAN · 2009 to 2025
$20.1M
Comparative Genomic Resources for CV ResearchU01HL066681 · NHLBI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI RUBIN, EDWARD M · 2000 to 2007
$14.1M
Generation and in vivo validation of cis-regulatory maps in eukaryotic genomesR01HG004428 · NHGRI · UNIVERSITY OF CHICAGO · PI NOBREGA, MARCELO A. · 2007 to 2009
$1.5M
Dissecting of the Tbx20 Regulatory NetworkR01HL088393 · NHLBI · UNIVERSITY OF CHICAGO · PI NOBREGA, MARCELO A. · 2009 to 2010
$844k
Intramural NIH HHSNHGRI NIH HHS HG003988NHGRI NIH HHS HG004428NHGRI NIH HHS R01 HG003988NHGRI NIH HHS R01 HG004428NHLBI NIH HHS HL066681NHLBI NIH HHS HL088393NHLBI NIH HHS R01 HL088393NHLBI NIH HHS U01 HL066681
6 · The paper itself

Abstract

Clustering of multiple transcription factor binding sites (TFBSs) for the same transcription factor (TF) is a common feature of cis-regulatory modules in invertebrate animals, but the occurrence of such homotypic clusters of TFBSs (HCTs) in the human genome has remained largely unknown. To explore whether HCTs are also common in human and other vertebrates, we used known binding motifs for vertebrate TFs and a hidden Markov model-based approach to detect HCTs in the human, mouse, chicken, and fugu genomes, and examined their association with cis-regulatory modules. We found that evolutionarily conserved HCTs occupy nearly 2% of the human genome, with experimental evidence for individual TFs supporting their binding to predicted HCTs. More than half of the promoters of human genes contain HCTs, with a distribution around the transcription start site in agreement with the experimental data from the ENCODE project. In addition, almost half of the 487 experimentally validated developmental enhancers contain them as well--a number more than 25-fold larger than expected by chance. We also found evidence of negative selection acting on TFBSs within HCTs, as the conservation of TFBSs is stronger than the conservation of sequences separating them. The important role of HCTs as components of developmental enhancers is additionally supported by a strong correlation between HCTs and the binding of the enhancer-associated coactivator protein Ep300 (also known as p300). Experimental validation of HCT-containing elements in both zebrafish and mouse suggest that HCTs could be used to predict both the presence of enhancers and their tissue specificity, and are thus a feature that can be effectively used in deciphering the gene regulatory code. In conclusion, our results indicate that HCTs are a pervasive feature of human cis-regulatory modules and suggest that they play an important role in gene regulation in the human and other vertebrate genomes.

Indexed as

Binding SitesAlgorithmsAnimalsChickensComputational BiologyEnhancer Elements, GeneticGene Expression RegulationGenome, HumanHumansMarkov ChainsMicePromoter Regions, GeneticTranscription FactorsVertebratesZebrafishTranscription Factors

Identifiers

PMID20363979
PMCPMC2860159
OpenAlexW2067899297

What OpenQuestion holds

Textmetadata
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.