Evidence map›Paper›PMID 17178752›Full record

ArticleNucleic acids research2007

GenomeTrafac: a whole genome resource for the detection of transcription factor binding site clusters associated with conventional and microRNA encoding genes conserved between mouse and human gene orthologs.

Anil G Jegga, Jing Chen, Sivakumar Gowrisankar, Mrunal A Deshmukh, RangaChandra Gudivada, Sue Kong, Vivek Kaimal, Bruce J Aronow

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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.

Anil G JeggaDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Jing Chen
Sivakumar Gowrisankar
Mrunal A Deshmukh
RangaChandra Gudivada
Sue Kong
Vivek Kaimal
Bruce J Aronow

Funding

REPRODUCTIVE AND DEVELOPMENTAL TOXICOLOGY RESEARCHP30ES006096 · NIEHS · UNIVERSITY OF CINCINNATI · PI YADAV, JAGJIT S · 1992 to 2022
$35.4M
MOUSE MODELS OF GASTROINTESTINAL CANCERU01CA084291 · NCI · UNIVERSITY OF CINCINNATI · PI GRODEN, JOANNA LOUISE · 1999 to 2008
$6.6M
NCI NIH HHS U01 CA084291NCI NIH HHS UO1 CA84291-07NIEHS NIH HHS ES-00-005NIEHS NIH HHS P30 ES006096NIEHS NIH HHS P30-ES06096
6 · The paper itself

Abstract

Transcriptional cis-regulatory control regions frequently are found within non-coding DNA segments conserved across multi-species gene orthologs. Adopting a systematic gene-centric pipeline approach, we report here the development of a web-accessible database resource--GenomeTraFac (http://genometrafac.cchmc.org)--that allows genome-wide detection and characterization of compositionally similar cis-clusters that occur in gene orthologs between any two genomes for both microRNA genes as well as conventional RNA-encoding genes. Each ortholog gene pair can be scanned to visualize overall conserved sequence regions, and within these, the relative density of conserved cis-element motif clusters form graph peak structures. The results of these analyses can be mined en masse to identify most frequently represented cis-motifs in a list of genes. The system also provides a method for rapid evaluation and visualization of gene model-consistency between orthologs, and facilitates consideration of the potential impact of sequence variation in conserved non-coding regions to impact complex cis-element structures. Using the mouse and human genomes via the NCBI Reference Sequence database and the Sanger Institute miRBase, the system demonstrated the ability to identify validated transcription factor targets within promoter and distal genomic regulatory regions of both conventional and microRNA genes.

Indexed as

Databases, Nucleic AcidRegulatory Elements, TranscriptionalAnimalsBase SequenceBinding SitesComputer GraphicsConserved SequenceGenomicsHumansInternetMiceMicroRNAsTranscription FactorsUser-Computer InterfaceMicroRNAsTranscription Factors

Identifiers

PMID17178752
PMCPMC1781107

What OpenQuestion holds

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LicenceCC BY-NC
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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.