Evidence map›Paper›PMID 20126523›Full record

ArticlePLoS computational biology2010

Functional characterization of transcription factor motifs using cross-species comparison across large evolutionary distances.

Jaebum Kim, Ryan Cunningham, Brian James, Stefan Wyder, Joshua D Gibson, Oliver Niehuis, Evgeny M Zdobnov, Hugh M Robertson, Gene E Robinson, John H Werren and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 38 citations in OpenAlex.

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  12. Motif enrichment tool.Nucleic acids research · 2014
    Article
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  18. Behavior-specific changes in transcriptional modules lead to distinct and predictable neurogenomic states.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
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  20. Article
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

11 authors at 5 institutions in 3 countries.

Jaebum KimDepartment of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Ryan Cunningham
Brian James
Stefan Wyder
Joshua D Gibson
Oliver Niehuis
Evgeny M Zdobnov
Hugh M Robertson
Gene E Robinson
John H Werren
Saurabh Sinha
University of Illinois Urbana-Champaign · USSIB Swiss Institute of Bioinformatics · CHArizona State University · USOsnabrück University · DEUniversity of Rochester · US

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
Nasonia as model organism for human mitochondrial diseases, apoptosis and agingR21RR024199 · NCRR · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI GADAU, JUERGEN RUDOLF · 2007 to 2008
$410k
NCRR NIH HHS 1R21 RR024199-01NCRR NIH HHS R21 RR024199NIGMS NIH HHS 1R01GM085233-01NIGMS NIH HHS R01 GM085233
6 · The paper itself

Abstract

We address the problem of finding statistically significant associations between cis-regulatory motifs and functional gene sets, in order to understand the biological roles of transcription factors. We develop a computational framework for this task, whose features include a new statistical score for motif scanning, the use of different scores for predicting targets of different motifs, and new ways to deal with redundancies among significant motif-function associations. This framework is applied to the recently sequenced genome of the jewel wasp, Nasonia vitripennis, making use of the existing knowledge of motifs and gene annotations in another insect genome, that of the fruitfly. The framework uses cross-species comparison to improve the specificity of its predictions, and does so without relying upon non-coding sequence alignment. It is therefore well suited for comparative genomics across large evolutionary divergences, where existing alignment-based methods are not applicable. We also apply the framework to find motifs associated with socially regulated gene sets in the honeybee, Apis mellifera, using comparisons with Nasonia, a solitary species, to identify honeybee-specific associations.

Indexed as

Conserved SequenceTranscription FactorsAmino Acid MotifsAmino Acid SequenceAnimalsBeesBehavior, AnimalComputational BiologyDrosophila melanogasterGenome, InsectInsect ProteinsModels, GeneticMolecular Sequence DataSpecies SpecificityWaspsInsect ProteinsTranscription Factors

Identifiers

PMID20126523
PMCPMC2813253
OpenAlexW2069022989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.