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TRANSFAC® and its module TRANSCompel®: transcriptional gene regulation in eukaryotes

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TLDR
The TRANSFAC® database on transcription factors, their binding sites, nucleotide distribution matrices and regulated genes as well as the complementing database TRANSCompel® on composite elements have been further enhanced on various levels.
Abstract
The TRANSFAC database on transcription factors, their binding sites, nucleotide distribution matrices and regulated genes as well as the complementing database TRANSCompel on composite elements have been further enhanced on various levels. A new web interface with different search options and integrated versions of Match and Patch provides increased functionality for TRANSFAC. The list of databases which are linked to the common GENE table of TRANSFAC and TRANSCompel has been extended by: Ensembl, UniGene, EntrezGene, HumanPSD and TRANSPRO. Standard gene names from HGNC, MGI and RGD, are included for human, mouse and rat genes, respectively. With the help of InterProScan, Pfam, SMART and PROSITE domains are assigned automatically to the protein sequences of the transcription factors. TRANSCompel contains now, in addition to the COMPEL table, a separate table for detailed information on the experimental EVIDENCE on which the composite elements are based. Finally, for TRANSFAC, in respect of data growth, in particular the gain of Drosophila transcription factor binding sites (by courtesy of the Drosophila DNase I footprint database) and of Arabidopsis factors (by courtesy of DATF, Database of Arabidopsis Transcription Factors) has to be stressed. The here described public releases, TRANSFAC 7.0 and TRANSCompel 7.0, are accessible under http://www.gene-regulation.com/pub/databases.html.

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ZFNGenome: a comprehensive resource for locating zinc finger nuclease target sites in model organisms

TL;DR: The motivation for this study is to make resources for genome modifications using OPEN-generated ZFNs more accessible to researchers by creating a user-friendly interface that identifies and provides quality scores for all potential ZFN target sites in the complete genomes of several model organisms.
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Characterization of three growth hormone-responsive transcription factors preferentially expressed in adult female liver

TL;DR: Cutl2 and Trim24 both display transcriptional repressor activity and could contribute to the loss of GH-regulated, male-specific liver gene expression seen in male mice deficient in STAT5b or HNF4alpha, and Binding sites for Cutl1, whose DNA-binding specificity is close to that of Cutl2, were statistically overrepresented inSTAT5b-dependent male- specific mouse genes, lending support to this hypothesis.
Journal ArticleDOI

Unveiling combinatorial regulation through the combination of ChIP information and in silico cis-regulatory module detection

TL;DR: It is shown that exploiting ChIP-information in a query-based way makes in silico CRM detection a much more feasible endeavor and a number of new predictions on combinatorial regulation of these five key TFs with other TFs documented in TRANSFAC are made.
Journal ArticleDOI

In vivo validation of a computationally predicted conserved Ath5 target gene set.

TL;DR: This procedure is a fast and predictive tool to in silico filter the target genes of a given transcription factor with defined binding site and validate a selection of the linked target genes by showing coexpression with and transcriptional regulation by Ath5.
References
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Journal ArticleDOI

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Journal ArticleDOI

TRANSFAC®: transcriptional regulation, from patterns to profiles

TL;DR: The TRANSFAC database on eukaryotic transcriptional regulation, comprising data on transcription factors, their target genes and regulatory binding sites, has been extended and further developed, both in number of entries and in the scope and structure of the collected data.
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