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Subtle discrepancies of SF2/ASF ESE sequence motif among human tissues: A computational approach

Authors :
Faiza Fakhfakh
Ahmed Rebai
Olfa Siala
Faouzi Baklouti
Centre de génétique et de physiologie moléculaire et cellulaire (CGPhiMC)
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)
Source :
Computational Biology and Chemistry, Computational Biology and Chemistry, Elsevier, 2010, 34 (3), pp.203-9. ⟨10.1016/j.compbiolchem.2010.06.005⟩
Publication Year :
2010
Publisher :
HAL CCSD, 2010.

Abstract

International audience; The intron removal during the pre-mRNA splicing in higher eukaryotes requires the accurate identification of the two splice sites at the ends of the exons, or exon definition. However, the consensus sequences at the splice sites provide insufficient information to distinguish true splice sites from the large number of the false ones that populate the primary transcripts. Additional information is provided by cis-acting regulatory sequences that serve to enhance or repress splicing, and that may be exonic or intronic in nature: the splicing enhancers and the splicing silencers, respectively. In this study, we tested by computational and statistical approaches if the exonic splicing enhancer motif binding to the SF2/ASF SR protein is conserved among several groups of human genes. The results showed that the SF2/ASF ESE consensus was conserved between genes within the same chromosome, within different chromosomes and between different levels of muscular cells differentiation. However, this motif displays subtle variations within the consensus sequence between genes expressed in different tissues. These results can emphasize the presence of different translational isoforms of the SFRS1 gene encoding for the SF2/ASF, or different post-translational protein maturations in different tissues. This tissular discrepancy can also account for the alternative splicing of several genes between tissues.

Details

Language :
English
ISSN :
14769271
Database :
OpenAIRE
Journal :
Computational Biology and Chemistry, Computational Biology and Chemistry, Elsevier, 2010, 34 (3), pp.203-9. ⟨10.1016/j.compbiolchem.2010.06.005⟩
Accession number :
edsair.doi.dedup.....14d649f2e2df74a9405cd67d278453a5