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MAISTAS: a tool for automatic structural evaluation of alternative splicing products

Motivation: Analysis of the human genome revealed that the amount of transcribed sequence is an order of magnitude greater than the number of predicted and well-characterized genes. A sizeable fraction of these transcripts is related to alternatively spliced forms of known protein coding genes. Insp...

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Autores principales: Floris, Matteo, Raimondo, Domenico, Leoni, Guido, Orsini, Massimiliano, Marcatili, Paolo, Tramontano, Anna
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3106191/
https://www.ncbi.nlm.nih.gov/pubmed/21498402
http://dx.doi.org/10.1093/bioinformatics/btr198
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author Floris, Matteo
Raimondo, Domenico
Leoni, Guido
Orsini, Massimiliano
Marcatili, Paolo
Tramontano, Anna
author_facet Floris, Matteo
Raimondo, Domenico
Leoni, Guido
Orsini, Massimiliano
Marcatili, Paolo
Tramontano, Anna
author_sort Floris, Matteo
collection PubMed
description Motivation: Analysis of the human genome revealed that the amount of transcribed sequence is an order of magnitude greater than the number of predicted and well-characterized genes. A sizeable fraction of these transcripts is related to alternatively spliced forms of known protein coding genes. Inspection of the alternatively spliced transcripts identified in the pilot phase of the ENCODE project has clearly shown that often their structure might substantially differ from that of other isoforms of the same gene, and therefore that they might perform unrelated functions, or that they might even not correspond to a functional protein. Identifying these cases is obviously relevant for the functional assignment of gene products and for the interpretation of the effect of variations in the corresponding proteins. Results: Here we describe a publicly available tool that, given a gene or a protein, retrieves and analyses all its annotated isoforms, provides users with three-dimensional models of the isoform(s) of his/her interest whenever possible and automatically assesses whether homology derived structural models correspond to plausible structures. This information is clearly relevant. When the homology model of some isoforms of a gene does not seem structurally plausible, the implications are that either they assume a structure unrelated to that of the other isoforms of the same gene with presumably significant functional differences, or do not correspond to functional products. We provide indications that the second hypothesis is likely to be true for a substantial fraction of the cases. Availability: http://maistas.bioinformatica.crs4.it/. Contact: anna.tramontano@uniromal.it
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spelling pubmed-31061912011-06-03 MAISTAS: a tool for automatic structural evaluation of alternative splicing products Floris, Matteo Raimondo, Domenico Leoni, Guido Orsini, Massimiliano Marcatili, Paolo Tramontano, Anna Bioinformatics Original Papers Motivation: Analysis of the human genome revealed that the amount of transcribed sequence is an order of magnitude greater than the number of predicted and well-characterized genes. A sizeable fraction of these transcripts is related to alternatively spliced forms of known protein coding genes. Inspection of the alternatively spliced transcripts identified in the pilot phase of the ENCODE project has clearly shown that often their structure might substantially differ from that of other isoforms of the same gene, and therefore that they might perform unrelated functions, or that they might even not correspond to a functional protein. Identifying these cases is obviously relevant for the functional assignment of gene products and for the interpretation of the effect of variations in the corresponding proteins. Results: Here we describe a publicly available tool that, given a gene or a protein, retrieves and analyses all its annotated isoforms, provides users with three-dimensional models of the isoform(s) of his/her interest whenever possible and automatically assesses whether homology derived structural models correspond to plausible structures. This information is clearly relevant. When the homology model of some isoforms of a gene does not seem structurally plausible, the implications are that either they assume a structure unrelated to that of the other isoforms of the same gene with presumably significant functional differences, or do not correspond to functional products. We provide indications that the second hypothesis is likely to be true for a substantial fraction of the cases. Availability: http://maistas.bioinformatica.crs4.it/. Contact: anna.tramontano@uniromal.it Oxford University Press 2011-06-15 2011-04-15 /pmc/articles/PMC3106191/ /pubmed/21498402 http://dx.doi.org/10.1093/bioinformatics/btr198 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Floris, Matteo
Raimondo, Domenico
Leoni, Guido
Orsini, Massimiliano
Marcatili, Paolo
Tramontano, Anna
MAISTAS: a tool for automatic structural evaluation of alternative splicing products
title MAISTAS: a tool for automatic structural evaluation of alternative splicing products
title_full MAISTAS: a tool for automatic structural evaluation of alternative splicing products
title_fullStr MAISTAS: a tool for automatic structural evaluation of alternative splicing products
title_full_unstemmed MAISTAS: a tool for automatic structural evaluation of alternative splicing products
title_short MAISTAS: a tool for automatic structural evaluation of alternative splicing products
title_sort maistas: a tool for automatic structural evaluation of alternative splicing products
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3106191/
https://www.ncbi.nlm.nih.gov/pubmed/21498402
http://dx.doi.org/10.1093/bioinformatics/btr198
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