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PMID: 18802439 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

Using RSAT to scan genome sequences for transcription factor binding sites and cis-regulatory modules.

Nature protocols ·Vol. 3 ·No. 10 ·2008-00-00 ·Pages 1578-88

Turatsinze JV, Thomas-Chollier M, Defrance M, van Helden J

Abstract

This protocol shows how to detect putative cis-regulatory elements and regions enriched in such elements with the regulatory sequence analysis tools (RSAT) web server (http://rsat.ulb.ac.be/rsat/). The approach applies to known transcription factors, whose binding specificity is represented by position-specific scoring matrices, using the program matrix-scan. The detection of individual binding sites is known to return many false predictions. However, results can be strongly improved by estimating P value, and by searching for combinations of sites (homotypic and heterotypic models). We illustrate the detection of sites and enriched regions with a study case, the upstream sequence of the Drosophila melanogaster gene even-skipped. This protocol is also tested on random control sequences to evaluate the reliability of the predictions. Each task requires a few minutes of computation time on the server. The complete protocol can be executed in about one hour.

MeSH Terms
Binding Sites/genetics Computational Biology/methods Conserved Sequence/genetics Genetic Techniques Genomics/methods Oligonucleotides/genetics Regulatory Elements, Transcriptional/genetics Software Transcription Factors/genetics
Chemicals
Oligonucleotides Transcription Factors
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Turatsinze Jean-Valery
Laboratoire de Bioinformatique des Génomes et des Réseaux (BiGRe), Université Libre de Bruxelles CP 263, Campus Plaine, Boulevard du Triomphe, Bruxelles, Belgium.
Thomas-Chollier Morgane
Defrance Matthieu
van Helden Jacques
Article Info
Journal
Nature protocols
Abbr.
Nat Protoc
ISSN
1750-2799
Published
2008-00-00
Pages
1578-88
Language
English
Region
England
NLM ID
101284307
Subset
IM
Analysis Services
Analysis Services

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