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Computational prediction of splicing regulatory elements shared by Tetrapoda organisms

BACKGROUND: Auxiliary splicing sequences play an important role in ensuring accurate and efficient splicing by promoting or repressing recognition of authentic splice sites. These cis-acting motifs have been termed splicing enhancers and silencers and are located both in introns and exons. They co-e...

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Autores principales: Churbanov, Alexander, Vořechovský, Igor, Hicks, Chindo
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2777938/
https://www.ncbi.nlm.nih.gov/pubmed/19889216
http://dx.doi.org/10.1186/1471-2164-10-508
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author Churbanov, Alexander
Vořechovský, Igor
Hicks, Chindo
author_facet Churbanov, Alexander
Vořechovský, Igor
Hicks, Chindo
author_sort Churbanov, Alexander
collection PubMed
description BACKGROUND: Auxiliary splicing sequences play an important role in ensuring accurate and efficient splicing by promoting or repressing recognition of authentic splice sites. These cis-acting motifs have been termed splicing enhancers and silencers and are located both in introns and exons. They co-evolved into an intricate splicing code together with additional functional constraints, such as tissue-specific and alternative splicing patterns. We used orthologous exons extracted from the University of California Santa Cruz multiple genome alignments of human and 22 Tetrapoda organisms to predict candidate enhancers and silencers that have reproducible and statistically significant bias towards annotated exonic boundaries. RESULTS: A total of 2,546 Tetrapoda enhancers and silencers were clustered into 15 putative core motifs based on their Markov properties. Most of these elements have been identified previously, but 118 putative silencers and 260 enhancers (~15%) were novel. Examination of previously published experimental data for the presence of predicted elements showed that their mutations in 21/23 (91.3%) cases altered the splicing pattern as expected. Predicted intronic motifs flanking 3' and 5' splice sites had higher evolutionary conservation than other sequences within intronic flanks and the intronic enhancers were markedly differed between 3' and 5' intronic flanks. CONCLUSION: Difference in intronic enhancers supporting 5' and 3' splice sites suggests an independent splicing commitment for neighboring exons. Increased evolutionary conservation for ISEs/ISSs within intronic flanks and effect of modulation of predicted elements on splicing suggest functional significance of found elements in splicing regulation. Most of the elements identified were shown to have direct implications in human splicing and therefore could be useful for building computational splicing models in biomedical research.
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spelling pubmed-27779382009-11-17 Computational prediction of splicing regulatory elements shared by Tetrapoda organisms Churbanov, Alexander Vořechovský, Igor Hicks, Chindo BMC Genomics Research Article BACKGROUND: Auxiliary splicing sequences play an important role in ensuring accurate and efficient splicing by promoting or repressing recognition of authentic splice sites. These cis-acting motifs have been termed splicing enhancers and silencers and are located both in introns and exons. They co-evolved into an intricate splicing code together with additional functional constraints, such as tissue-specific and alternative splicing patterns. We used orthologous exons extracted from the University of California Santa Cruz multiple genome alignments of human and 22 Tetrapoda organisms to predict candidate enhancers and silencers that have reproducible and statistically significant bias towards annotated exonic boundaries. RESULTS: A total of 2,546 Tetrapoda enhancers and silencers were clustered into 15 putative core motifs based on their Markov properties. Most of these elements have been identified previously, but 118 putative silencers and 260 enhancers (~15%) were novel. Examination of previously published experimental data for the presence of predicted elements showed that their mutations in 21/23 (91.3%) cases altered the splicing pattern as expected. Predicted intronic motifs flanking 3' and 5' splice sites had higher evolutionary conservation than other sequences within intronic flanks and the intronic enhancers were markedly differed between 3' and 5' intronic flanks. CONCLUSION: Difference in intronic enhancers supporting 5' and 3' splice sites suggests an independent splicing commitment for neighboring exons. Increased evolutionary conservation for ISEs/ISSs within intronic flanks and effect of modulation of predicted elements on splicing suggest functional significance of found elements in splicing regulation. Most of the elements identified were shown to have direct implications in human splicing and therefore could be useful for building computational splicing models in biomedical research. BioMed Central 2009-11-04 /pmc/articles/PMC2777938/ /pubmed/19889216 http://dx.doi.org/10.1186/1471-2164-10-508 Text en Copyright © 2009 Churbanov et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Churbanov, Alexander
Vořechovský, Igor
Hicks, Chindo
Computational prediction of splicing regulatory elements shared by Tetrapoda organisms
title Computational prediction of splicing regulatory elements shared by Tetrapoda organisms
title_full Computational prediction of splicing regulatory elements shared by Tetrapoda organisms
title_fullStr Computational prediction of splicing regulatory elements shared by Tetrapoda organisms
title_full_unstemmed Computational prediction of splicing regulatory elements shared by Tetrapoda organisms
title_short Computational prediction of splicing regulatory elements shared by Tetrapoda organisms
title_sort computational prediction of splicing regulatory elements shared by tetrapoda organisms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2777938/
https://www.ncbi.nlm.nih.gov/pubmed/19889216
http://dx.doi.org/10.1186/1471-2164-10-508
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