Evidence map›Paper›PMID 22115527›Full record

ArticleBMC genomics2011

Erroneous attribution of relevant transcription factor binding sites despite successful prediction of cis-regulatory modules.

Marc S Halfon, Qianqian Zhu, Elizabeth R Brennan, Yiyun Zhou

Abstract read
In one paragraph

Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

9 citing papers in PubMed.

  1. NovelbioRxiv : the preprint server for biology · 2026
    Article
  2. Hedgehog and Drosophila germ cell migration.Development (Cambridge, England) · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Identifying transcriptional cis-regulatory modules in animal genomes.Wiley interdisciplinary reviews. Developmental biology
    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

4 authors.

Marc S HalfonDepartment of Biochemistry, State University of New York at Buffalo, Buffalo, NY 14214, USA. mshalfon@buffalo.edu
Qianqian Zhu
Elizabeth R Brennan
Yiyun Zhou

Funding

High sensitivity discovery of cis-regulatory modulesR01GM085233 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI HALFON, MARC S, SINHA, SAURABH · 2008 to 2012
$1.7M
Computational and Functional Analysis of Gene NetworksK22HG002489 · NHGRI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI HALFON, MARC S · 2002 to 2006
$1.1M
NHGRI NIH HHS K22 HG002489NIGMS NIH HHS R01 GM085233NIGMS NIH HHS R01GM85233
6 · The paper itself

Abstract

backgroundCis-regulatory modules are bound by transcription factors to regulate gene expression. Characterizing these DNA sequences is central to understanding gene regulatory networks and gaining insight into mechanisms of transcriptional regulation, but genome-scale regulatory module discovery remains a challenge. One popular approach is to scan the genome for clusters of transcription factor binding sites, especially those conserved in related species. When such approaches are successful, it is typically assumed that the activity of the modules is mediated by the identified binding sites and their cognate transcription factors. However, the validity of this assumption is often not assessed.

resultsWe successfully predicted five new cis-regulatory modules by combining binding site identification with sequence conservation and compared these to unsuccessful predictions from a related approach not utilizing sequence conservation. Despite greatly improved predictive success, the positive set had similar degrees of sequence and binding site conservation as the negative set. We explored the reasons for this by mutagenizing putative binding sites in three cis-regulatory modules. A large proportion of the tested sites had little or no demonstrable role in mediating regulatory element activity. Examination of loss-of-function mutants also showed that some transcription factors supposedly binding to the modules are not required for their function.

conclusionsOur results raise important questions about interpreting regulatory module predictions obtained by finding clusters of conserved binding sites. Attribution of function to these sites and their cognate transcription factors may be incorrect even when modules are successfully identified. Our study underscores the importance of empirical validation of computational results even when these results are in line with expectation.

Indexed as

Regulatory Elements, TranscriptionalAnimalsBinding SitesConserved SequenceDrosophilaGene Expression RegulationMutagenesis, Site-DirectedSequence AlignmentSequence Analysis, DNATranscription FactorsTranscription Factors

Identifiers

PMID22115527
PMCPMC3235160

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Registered trials

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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.