A general definition and nomenclature for alternative splicing events.

Understanding the molecular mechanisms responsible for the regulation of the transcriptome present in eukaryotic cells is one of the most challenging tasks in the postgenomic era. In this regard, alternative splicing (AS) is a key phenomenon contributing to the production of different mature transcr...

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Main Authors: Michael Sammeth, Sylvain Foissac, Roderic Guigó
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2008-08-01
Series:PLoS Computational Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18688268/?tool=EBI
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spelling doaj-6e488703a70f4e0c9838aacfaf8c701b2021-06-17T04:33:52ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582008-08-0148e100014710.1371/journal.pcbi.1000147A general definition and nomenclature for alternative splicing events.Michael SammethSylvain FoissacRoderic GuigóUnderstanding the molecular mechanisms responsible for the regulation of the transcriptome present in eukaryotic cells is one of the most challenging tasks in the postgenomic era. In this regard, alternative splicing (AS) is a key phenomenon contributing to the production of different mature transcripts from the same primary RNA sequence. As a plethora of different transcript forms is available in databases, a first step to uncover the biology that drives AS is to identify the different types of reflected splicing variation. In this work, we present a general definition of the AS event along with a notation system that involves the relative positions of the splice sites. This nomenclature univocally and dynamically assigns a specific "AS code" to every possible pattern of splicing variation. On the basis of this definition and the corresponding codes, we have developed a computational tool (AStalavista) that automatically characterizes the complete landscape of AS events in a given transcript annotation of a genome, thus providing a platform to investigate the transcriptome diversity across genes, chromosomes, and species. Our analysis reveals that a substantial part--in human more than a quarter-of the observed splicing variations are ignored in common classification pipelines. We have used AStalavista to investigate and to compare the AS landscape of different reference annotation sets in human and in other metazoan species and found that proportions of AS events change substantially depending on the annotation protocol, species-specific attributes, and coding constraints acting on the transcripts. The AStalavista system therefore provides a general framework to conduct specific studies investigating the occurrence, impact, and regulation of AS.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18688268/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Michael Sammeth
Sylvain Foissac
Roderic Guigó
spellingShingle Michael Sammeth
Sylvain Foissac
Roderic Guigó
A general definition and nomenclature for alternative splicing events.
PLoS Computational Biology
author_facet Michael Sammeth
Sylvain Foissac
Roderic Guigó
author_sort Michael Sammeth
title A general definition and nomenclature for alternative splicing events.
title_short A general definition and nomenclature for alternative splicing events.
title_full A general definition and nomenclature for alternative splicing events.
title_fullStr A general definition and nomenclature for alternative splicing events.
title_full_unstemmed A general definition and nomenclature for alternative splicing events.
title_sort general definition and nomenclature for alternative splicing events.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2008-08-01
description Understanding the molecular mechanisms responsible for the regulation of the transcriptome present in eukaryotic cells is one of the most challenging tasks in the postgenomic era. In this regard, alternative splicing (AS) is a key phenomenon contributing to the production of different mature transcripts from the same primary RNA sequence. As a plethora of different transcript forms is available in databases, a first step to uncover the biology that drives AS is to identify the different types of reflected splicing variation. In this work, we present a general definition of the AS event along with a notation system that involves the relative positions of the splice sites. This nomenclature univocally and dynamically assigns a specific "AS code" to every possible pattern of splicing variation. On the basis of this definition and the corresponding codes, we have developed a computational tool (AStalavista) that automatically characterizes the complete landscape of AS events in a given transcript annotation of a genome, thus providing a platform to investigate the transcriptome diversity across genes, chromosomes, and species. Our analysis reveals that a substantial part--in human more than a quarter-of the observed splicing variations are ignored in common classification pipelines. We have used AStalavista to investigate and to compare the AS landscape of different reference annotation sets in human and in other metazoan species and found that proportions of AS events change substantially depending on the annotation protocol, species-specific attributes, and coding constraints acting on the transcripts. The AStalavista system therefore provides a general framework to conduct specific studies investigating the occurrence, impact, and regulation of AS.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18688268/?tool=EBI
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