Evidence map›Paper›PMID 23935523›Full record

ArticlePLoS genetics2013

Computational identification of diverse mechanisms underlying transcription factor-DNA occupancy.

Qiong Cheng, Majid Kazemian, Hannah Pham, Charles Blatti, Susan E Celniker, Scot A Wolfe, Michael H Brodsky, Saurabh Sinha

Abstract read
In one paragraph

Article in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
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  15. Sex combs reduced (Scr) regulatory region of Drosophila revisited.Molecular genetics and genomics : MGG · 2017
    Article
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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

8 authors.

Qiong ChengDepartment of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Majid Kazemian
Hannah Pham
Charles Blatti
Susan E Celniker
Scot A Wolfe
Michael H Brodsky
Saurabh Sinha

Funding

Universal Clone Resources for Drosophila ProteomicsP41HG003487 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI CELNIKER, SUSAN E · 2005 to 2013
$4.6M
Systematic Analysis of Drosophila transcription factor binding specificitiesR01HG004744 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BRODSKY, MICHAEL H, WOLFE, SCOT A · 2008 to 2010
$1.9M
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
NHGRI NIH HHS P41 HG003487NHGRI NIH HHS R01 HG004744NHGRI NIH HHS R01 HG004744-01NIGMS NIH HHS GM085233NIGMS NIH HHS R01 GM085233
6 · The paper itself

Abstract

ChIP-based genome-wide assays of transcription factor (TF) occupancy have emerged as a powerful, high-throughput method to understand transcriptional regulation, especially on a global scale. This has led to great interest in the underlying biochemical mechanisms that direct TF-DNA binding, with the ultimate goal of computationally predicting a TF's occupancy profile in any cellular condition. In this study, we examined the influence of various potential determinants of TF-DNA binding on a much larger scale than previously undertaken. We used a thermodynamics-based model of TF-DNA binding, called "STAP," to analyze 45 TF-ChIP data sets from Drosophila embryonic development. We built a cross-validation framework that compares a baseline model, based on the ChIP'ed ("primary") TF's motif, to more complex models where binding by secondary TFs is hypothesized to influence the primary TF's occupancy. Candidates interacting TFs were chosen based on RNA-SEQ expression data from the time point of the ChIP experiment. We found widespread evidence of both cooperative and antagonistic effects by secondary TFs, and explicitly quantified these effects. We were able to identify multiple classes of interactions, including (1) long-range interactions between primary and secondary motifs (separated by ≤150 bp), suggestive of indirect effects such as chromatin remodeling, (2) short-range interactions with specific inter-site spacing biases, suggestive of direct physical interactions, and (3) overlapping binding sites suggesting competitive binding. Furthermore, by factoring out the previously reported strong correlation between TF occupancy and DNA accessibility, we were able to categorize the effects into those that are likely to be mediated by the secondary TF's effect on local accessibility and those that utilize accessibility-independent mechanisms. Finally, we conducted in vitro pull-down assays to test model-based predictions of short-range cooperative interactions, and found that seven of the eight TF pairs tested physically interact and that some of these interactions mediate cooperative binding to DNA.

Indexed as

AlgorithmsAnimalsBinding SitesChromatin Assembly and DisassemblyComputational BiologyDNADNA-Binding ProteinsDrosophilaEmbryonic DevelopmentGene Expression Regulation, DevelopmentalGenomeTranscription FactorsDNADNA-Binding ProteinsTranscription Factors

Identifiers

PMID23935523
PMCPMC3731213

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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.