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A compatible exon-exon junction database for the identification of exon skipping events using tandem mass spectrum data
BACKGROUND: Alternative splicing is an important gene regulation mechanism. It is estimated that about 74% of multi-exon human genes have alternative splicing. High throughput tandem (MS/MS) mass spectrometry provides valuable information for rapidly identifying potentially novel alternatively-splic...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2636810/ https://www.ncbi.nlm.nih.gov/pubmed/19087293 http://dx.doi.org/10.1186/1471-2105-9-537 |
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author | Mo, Fan Hong, Xu Gao, Feng Du, Lin Wang, Jun Omenn, Gilbert S Lin, Biaoyang |
author_facet | Mo, Fan Hong, Xu Gao, Feng Du, Lin Wang, Jun Omenn, Gilbert S Lin, Biaoyang |
author_sort | Mo, Fan |
collection | PubMed |
description | BACKGROUND: Alternative splicing is an important gene regulation mechanism. It is estimated that about 74% of multi-exon human genes have alternative splicing. High throughput tandem (MS/MS) mass spectrometry provides valuable information for rapidly identifying potentially novel alternatively-spliced protein products from experimental datasets. However, the ability to identify alternative splicing events through tandem mass spectrometry depends on the database against which the spectra are searched. RESULTS: We wrote scripts in perl, Bioperl, mysql and Ensembl API and built a theoretical exon-exon junction protein database to account for all possible combinations of exons for a gene while keeping the frame of translation (i.e., keeping only in-phase exon-exon combinations) from the Ensembl Core Database. Using our liver cancer MS/MS dataset, we identified a total of 488 non-redundant peptides that represent putative exon skipping events. CONCLUSION: Our exon-exon junction database provides the scientific community with an efficient means to identify novel alternatively spliced (exon skipping) protein isoforms using mass spectrometry data. This database will be useful in annotating genome structures using rapidly accumulating proteomics data. |
format | Text |
id | pubmed-2636810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26368102009-02-06 A compatible exon-exon junction database for the identification of exon skipping events using tandem mass spectrum data Mo, Fan Hong, Xu Gao, Feng Du, Lin Wang, Jun Omenn, Gilbert S Lin, Biaoyang BMC Bioinformatics Methodology Article BACKGROUND: Alternative splicing is an important gene regulation mechanism. It is estimated that about 74% of multi-exon human genes have alternative splicing. High throughput tandem (MS/MS) mass spectrometry provides valuable information for rapidly identifying potentially novel alternatively-spliced protein products from experimental datasets. However, the ability to identify alternative splicing events through tandem mass spectrometry depends on the database against which the spectra are searched. RESULTS: We wrote scripts in perl, Bioperl, mysql and Ensembl API and built a theoretical exon-exon junction protein database to account for all possible combinations of exons for a gene while keeping the frame of translation (i.e., keeping only in-phase exon-exon combinations) from the Ensembl Core Database. Using our liver cancer MS/MS dataset, we identified a total of 488 non-redundant peptides that represent putative exon skipping events. CONCLUSION: Our exon-exon junction database provides the scientific community with an efficient means to identify novel alternatively spliced (exon skipping) protein isoforms using mass spectrometry data. This database will be useful in annotating genome structures using rapidly accumulating proteomics data. BioMed Central 2008-12-16 /pmc/articles/PMC2636810/ /pubmed/19087293 http://dx.doi.org/10.1186/1471-2105-9-537 Text en Copyright © 2008 Mo 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 | Methodology Article Mo, Fan Hong, Xu Gao, Feng Du, Lin Wang, Jun Omenn, Gilbert S Lin, Biaoyang A compatible exon-exon junction database for the identification of exon skipping events using tandem mass spectrum data |
title | A compatible exon-exon junction database for the identification of exon skipping events using tandem mass spectrum data |
title_full | A compatible exon-exon junction database for the identification of exon skipping events using tandem mass spectrum data |
title_fullStr | A compatible exon-exon junction database for the identification of exon skipping events using tandem mass spectrum data |
title_full_unstemmed | A compatible exon-exon junction database for the identification of exon skipping events using tandem mass spectrum data |
title_short | A compatible exon-exon junction database for the identification of exon skipping events using tandem mass spectrum data |
title_sort | compatible exon-exon junction database for the identification of exon skipping events using tandem mass spectrum data |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2636810/ https://www.ncbi.nlm.nih.gov/pubmed/19087293 http://dx.doi.org/10.1186/1471-2105-9-537 |
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