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Identification of rare alternative splicing events in MS/MS data reveals a significant fraction of alternative translation initiation sites

Integration of transcriptome data is a crucial step for the identification of rare protein variants in mass-spectrometry (MS) data with important consequences for all branches of biotechnology research. Here, we used Splooce, a database of splicing variants recently developed by us, to search MS dat...

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Autores principales: Kroll, José E., de Souza, Sandro J., de Souza, Gustavo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232841/
https://www.ncbi.nlm.nih.gov/pubmed/25405079
http://dx.doi.org/10.7717/peerj.673
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author Kroll, José E.
de Souza, Sandro J.
de Souza, Gustavo A.
author_facet Kroll, José E.
de Souza, Sandro J.
de Souza, Gustavo A.
author_sort Kroll, José E.
collection PubMed
description Integration of transcriptome data is a crucial step for the identification of rare protein variants in mass-spectrometry (MS) data with important consequences for all branches of biotechnology research. Here, we used Splooce, a database of splicing variants recently developed by us, to search MS data derived from a variety of human tumor cell lines. More than 800 new protein variants were identified whose corresponding MS spectra were specific to protein entries from Splooce. Although the types of splicing variants (exon skipping, alternative splice sites and intron retention) were found at the same frequency as in the transcriptome, we observed a large variety of modifications at the protein level induced by alternative splicing events. Surprisingly, we found that 40% of all protein modifications induced by alternative splicing led to the use of alternative translation initiation sites. Other modifications include frameshifts in the open reading frame and inclusion or deletion of peptide sequences. To make the dataset generated here available to the community in a more effective form, the Splooce portal (http://www.bioinformatics-brazil.org/splooce) was modified to report the alternative splicing events supported by MS data.
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spelling pubmed-42328412014-11-17 Identification of rare alternative splicing events in MS/MS data reveals a significant fraction of alternative translation initiation sites Kroll, José E. de Souza, Sandro J. de Souza, Gustavo A. PeerJ Bioinformatics Integration of transcriptome data is a crucial step for the identification of rare protein variants in mass-spectrometry (MS) data with important consequences for all branches of biotechnology research. Here, we used Splooce, a database of splicing variants recently developed by us, to search MS data derived from a variety of human tumor cell lines. More than 800 new protein variants were identified whose corresponding MS spectra were specific to protein entries from Splooce. Although the types of splicing variants (exon skipping, alternative splice sites and intron retention) were found at the same frequency as in the transcriptome, we observed a large variety of modifications at the protein level induced by alternative splicing events. Surprisingly, we found that 40% of all protein modifications induced by alternative splicing led to the use of alternative translation initiation sites. Other modifications include frameshifts in the open reading frame and inclusion or deletion of peptide sequences. To make the dataset generated here available to the community in a more effective form, the Splooce portal (http://www.bioinformatics-brazil.org/splooce) was modified to report the alternative splicing events supported by MS data. PeerJ Inc. 2014-11-13 /pmc/articles/PMC4232841/ /pubmed/25405079 http://dx.doi.org/10.7717/peerj.673 Text en © 2014 Kroll et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Kroll, José E.
de Souza, Sandro J.
de Souza, Gustavo A.
Identification of rare alternative splicing events in MS/MS data reveals a significant fraction of alternative translation initiation sites
title Identification of rare alternative splicing events in MS/MS data reveals a significant fraction of alternative translation initiation sites
title_full Identification of rare alternative splicing events in MS/MS data reveals a significant fraction of alternative translation initiation sites
title_fullStr Identification of rare alternative splicing events in MS/MS data reveals a significant fraction of alternative translation initiation sites
title_full_unstemmed Identification of rare alternative splicing events in MS/MS data reveals a significant fraction of alternative translation initiation sites
title_short Identification of rare alternative splicing events in MS/MS data reveals a significant fraction of alternative translation initiation sites
title_sort identification of rare alternative splicing events in ms/ms data reveals a significant fraction of alternative translation initiation sites
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232841/
https://www.ncbi.nlm.nih.gov/pubmed/25405079
http://dx.doi.org/10.7717/peerj.673
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