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Discovery of novel alternatively spliced C. elegans transcripts by computational analysis of SAGE data

BACKGROUND: Alternative RNA splicing allows cells to produce multiple protein isoforms from one gene. These isoforms may have specialized functions, and may be tissue- or stage-specific. Our aim was to use computational analysis of SAGE and genomic data to predict alternatively spliced transcripts e...

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Detalles Bibliográficos
Autores principales: Ruzanov, Peter, Jones, Steven J, Riddle, Donald L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2216036/
https://www.ncbi.nlm.nih.gov/pubmed/18053145
http://dx.doi.org/10.1186/1471-2164-8-447
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author Ruzanov, Peter
Jones, Steven J
Riddle, Donald L
author_facet Ruzanov, Peter
Jones, Steven J
Riddle, Donald L
author_sort Ruzanov, Peter
collection PubMed
description BACKGROUND: Alternative RNA splicing allows cells to produce multiple protein isoforms from one gene. These isoforms may have specialized functions, and may be tissue- or stage-specific. Our aim was to use computational analysis of SAGE and genomic data to predict alternatively spliced transcripts expressed in C. elegans. RESULTS: We predicted novel alternatively spliced variants and confirmed five of eighteen candidates selected for experimental validation by RT-PCR tests and DNA sequencing. CONCLUSION: We show that SAGE data can be efficiently used to discover alternative mRNA isoforms, including those with skipped exons or retained introns. Our results also imply that C. elegans may produce a larger number of alternatively spliced transcripts than initially estimated.
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spelling pubmed-22160362008-01-29 Discovery of novel alternatively spliced C. elegans transcripts by computational analysis of SAGE data Ruzanov, Peter Jones, Steven J Riddle, Donald L BMC Genomics Research Article BACKGROUND: Alternative RNA splicing allows cells to produce multiple protein isoforms from one gene. These isoforms may have specialized functions, and may be tissue- or stage-specific. Our aim was to use computational analysis of SAGE and genomic data to predict alternatively spliced transcripts expressed in C. elegans. RESULTS: We predicted novel alternatively spliced variants and confirmed five of eighteen candidates selected for experimental validation by RT-PCR tests and DNA sequencing. CONCLUSION: We show that SAGE data can be efficiently used to discover alternative mRNA isoforms, including those with skipped exons or retained introns. Our results also imply that C. elegans may produce a larger number of alternatively spliced transcripts than initially estimated. BioMed Central 2007-11-30 /pmc/articles/PMC2216036/ /pubmed/18053145 http://dx.doi.org/10.1186/1471-2164-8-447 Text en Copyright © 2007 Ruzanov 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
Ruzanov, Peter
Jones, Steven J
Riddle, Donald L
Discovery of novel alternatively spliced C. elegans transcripts by computational analysis of SAGE data
title Discovery of novel alternatively spliced C. elegans transcripts by computational analysis of SAGE data
title_full Discovery of novel alternatively spliced C. elegans transcripts by computational analysis of SAGE data
title_fullStr Discovery of novel alternatively spliced C. elegans transcripts by computational analysis of SAGE data
title_full_unstemmed Discovery of novel alternatively spliced C. elegans transcripts by computational analysis of SAGE data
title_short Discovery of novel alternatively spliced C. elegans transcripts by computational analysis of SAGE data
title_sort discovery of novel alternatively spliced c. elegans transcripts by computational analysis of sage data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2216036/
https://www.ncbi.nlm.nih.gov/pubmed/18053145
http://dx.doi.org/10.1186/1471-2164-8-447
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