Transcription factor map alignment of promoter regions


Autoria(s): Blanco, Enrique; Messeguer, Xavier; Smith, Temple F.; Guigó Serra, Roderic
Contribuinte(s)

Universitat Pompeu Fabra

Data(s)

02/07/2013

Resumo

We address the problem of comparing and characterizing the promoter regions of genes with similar expression patterns. This remains a challenging problem in sequence analysis, because often the promoter regions of co-expressed genes do not show discernible sequence conservation. In our approach, thus, we have not directly compared the nucleotide sequence of promoters. Instead, we have obtained predictions of transcription factor binding sites, annotated the predicted sites with the labels of the corresponding binding factors, and aligned the resulting sequences of labels—to which we refer here as transcription factor maps (TF-maps). To obtain the global pairwise alignment of two TF-maps, we have adapted an algorithm initially developed to align restriction enzyme maps. We have optimized the parameters of the algorithm in a small, but well-curated, collection of human–mouse orthologous gene pairs. Results in this dataset, as well as in an independent much larger dataset from the CISRED database, indicate that TF-map alignments are able to uncover conserved regulatory elements, which cannot be detected by the typical sequence alignments.

This work was supported by grant BIO2003–05073 fromthe Spanish Ministerio de Ciencia y Tecnología and InstitutoNacional de Bioinformática to RG.

Identificador

http://hdl.handle.net/10230/13156

Idioma(s)

eng

Publicador

Public Library of Science (PLoS)

Direitos

info:eu-repo/semantics/openAccess

(c) 2006 Blanco et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (<a href="http://creativecommons.org/licenses/by/2.5/">http://creativecommons.org/licenses/by/2.5/</a>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

<a href="http://creativecommons.org/licenses/by/2.5/">http://creativecommons.org/licenses/by/2.5/</a>

Palavras-Chave #Biologia molecular #Biologia computacional -- Mètodes #Genòmica -- Models estadístics #Genètica -- Tècnica #Factors de transcripció #Species specificity #Algorithms #Animals #Humans #Mice #Chromosome mapping #Promoter regions #Restriction mapping method #Transcription factors
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion