Evidence map›Paper›PMID 18086703›Full record

ArticleNucleic acids research2008

Genome wide screens in yeast to identify potential binding sites and target genes of DNA-binding proteins.

Jue Zeng, Jizhou Yan, Ting Wang, Deborah Mosbrook-Davis, Kyle T Dolan, Ryan Christensen, Gary D Stormo, David Haussler, Richard H Lathrop, Rainer K Brachmann and 1 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

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  7. Systematic characterization of protein-DNA interactions.Cellular and molecular life sciences : CMLS · 2011
    Review
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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

11 authors at 3 institutions in 3 countries.

Jue ZengDivision of Hematology/Oncology, Department of Medicine, University of California, Irvine, CA, USA.
Jizhou Yan
Ting Wang
Deborah Mosbrook-Davis
Kyle T Dolan
Ryan Christensen
Gary D Stormo
David Haussler
Richard H Lathrop
Rainer K Brachmann
Shawn M Burgess
Washington University in St. Louis · USHoward Hughes Medical Institute · USUniversity of California, Irvine · US

Funding

Zebrafish targeted mutagenesis and functional genomicsZIAHG000183 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BURGESS, SHAWN M · 2009 to 2025
$16.7M
DNA PATTERN IDENTIFICATION AND ANALYSISR01HG000249 · NHGRI · WASHINGTON UNIVERSITY · PI STORMO, GARY D · 1990 to 2017
$5.6M
Intramural NIH HHSNHGRI NIH HHS HG00249NHGRI NIH HHS R01 HG000249
6 · The paper itself

Abstract

Knowledge of all binding sites for transcriptional activators and repressors is essential for computationally aided identification of transcriptional networks. The techniques developed for defining the binding sites of transcription factors tend to be cumbersome and not adaptable to high throughput. We refined a versatile yeast strategy to rapidly and efficiently identify genomic targets of DNA-binding proteins. Yeast expressing a transcription factor is mated to yeast containing a library of genomic fragments cloned upstream of the reporter gene URA3. DNA fragments with target-binding sites are identified by growth of yeast clones in media lacking uracil. The experimental approach was validated with the tumor suppressor protein p53 and the forkhead protein FoxI1 using genomic libraries for zebrafish and mouse generated by shotgun cloning of short genomic fragments. Computational analysis of the genomic fragments recapitulated the published consensus-binding site for each protein. Identified fragments were mapped to identify the genomic context of each binding site. Our yeast screening strategy, combined with bioinformatics approaches, will allow both detailed and high-throughput characterization of transcription factors, scalable to the analysis of all putative DNA-binding proteins.

Indexed as

Regulatory Elements, TranscriptionalAnimalsBase SequenceBinding SitesComputational BiologyConsensus SequenceDNADNA-Binding ProteinsForkhead Transcription FactorsGenomic LibraryGenomicsMicePlasmidsSaccharomyces cerevisiaeTranscription FactorsTumor Suppressor Protein p53DNADNA-Binding ProteinsForkhead Transcription Factorsfoxi1 protein, zebrafishTranscription FactorsTumor Suppressor Protein p53Zebrafish Proteins

Identifiers

PMID18086703
PMCPMC2248728
OpenAlexW2108775001

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.