Evidence map›Paper›PMID 18271625›Full record

ArticlePLoS biology2008

Transcription factors bind thousands of active and inactive regions in the Drosophila blastoderm.

Xiao-yong Li, Stewart MacArthur, Richard Bourgon, David Nix, Daniel A Pollard, Venky N Iyer, Aaron Hechmer, Lisa Simirenko, Mark Stapleton, Cris L Luengo Hendriks and 12 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 303 papers.

0numbers the graph read from it
0cells of the map it votes in
303citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

303 citing papers in PubMed, 19 citations in OpenAlex.

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  20. White-opaque switching inMicrobiology and molecular biology reviews : MMBR · 2024
    Review

243 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

22 authors at 2 institutions in 1 country.

Xiao-yong LiGenomics Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Stewart MacArthur
Richard Bourgon
David Nix
Daniel A Pollard
Venky N Iyer
Aaron Hechmer
Lisa Simirenko
Mark Stapleton
Cris L Luengo Hendriks
Hou Cheng Chu
Nobuo Ogawa
William Inwood
Victor Sementchenko
Amy Beaton
Richard Weiszmann
Susan E Celniker
David W Knowles
Tom Gingeras
Terence P Speed
Michael B Eisen
Mark D Biggin
Lawrence Berkeley National Laboratory · USUniversity of California, Berkeley · US

Funding

Transcription Network Controlling Drosophila DevelopmentR01GM070444 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI BIGGIN, MARK D · 2003 to 2007
$14.9M
Patterned Gene Expression in Drosophila DevelopmentR01GM076655 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI CELNIKER, SUSAN E · 2006 to 2020
$6.8M
Modeling the Evolution and Function of Drosophila cis-Regulatory ModulesR01HG002779 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI EISEN, MICHAEL BRUCE · 2003 to 2012
$5.3M
NHGRI NIH HHS HG002779NHGRI NIH HHS R01 HG002779NIGMS NIH HHS GM076655NIGMS NIH HHS GM704403NIGMS NIH HHS R01 GM070444NIGMS NIH HHS R01 GM076655
6 · The paper itself

Abstract

Identifying the genomic regions bound by sequence-specific regulatory factors is central both to deciphering the complex DNA cis-regulatory code that controls transcription in metazoans and to determining the range of genes that shape animal morphogenesis. We used whole-genome tiling arrays to map sequences bound in Drosophila melanogaster embryos by the six maternal and gap transcription factors that initiate anterior-posterior patterning. We find that these sequence-specific DNA binding proteins bind with quantitatively different specificities to highly overlapping sets of several thousand genomic regions in blastoderm embryos. Specific high- and moderate-affinity in vitro recognition sequences for each factor are enriched in bound regions. This enrichment, however, is not sufficient to explain the pattern of binding in vivo and varies in a context-dependent manner, demonstrating that higher-order rules must govern targeting of transcription factors. The more highly bound regions include all of the over 40 well-characterized enhancers known to respond to these factors as well as several hundred putative new cis-regulatory modules clustered near developmental regulators and other genes with patterned expression at this stage of embryogenesis. The new targets include most of the microRNAs (miRNAs) transcribed in the blastoderm, as well as all major zygotically transcribed dorsal-ventral patterning genes, whose expression we show to be quantitatively modulated by anterior-posterior factors. In addition to these highly bound regions, there are several thousand regions that are reproducibly bound at lower levels. However, these poorly bound regions are, collectively, far more distant from genes transcribed in the blastoderm than highly bound regions; are preferentially found in protein-coding sequences; and are less conserved than highly bound regions. Together these observations suggest that many of these poorly bound regions are not involved in early-embryonic transcriptional regulation, and a significant proportion may be nonfunctional. Surprisingly, for five of the six factors, their recognition sites are not unambiguously more constrained evolutionarily than the immediate flanking DNA, even in more highly bound and presumably functional regions, indicating that comparative DNA sequence analysis is limited in its ability to identify functional transcription factor targets.

Indexed as

AnimalsBinding SitesBlastodermDNADrosophila melanogasterEvolution, MolecularMicroRNAsTranscription FactorsDNAMicroRNAsTranscription Factors

Identifiers

PMID18271625
PMCPMC2235902
OpenAlexW1553325587

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.