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EventPointer: an effective identification of alternative splicing events using junction arrays
BACKGROUND: Alternative splicing (AS) is a major source of variability in the transcriptome of eukaryotes. There is an increasing interest in its role in different pathologies. Before sequencing technology appeared, AS was measured with specific arrays. However, these arrays did not perform well in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912780/ https://www.ncbi.nlm.nih.gov/pubmed/27315794 http://dx.doi.org/10.1186/s12864-016-2816-x |
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author | Romero, Juan P. Muniategui, Ander De Miguel, Fernando J. Aramburu, Ander Montuenga, Luis Pio, Ruben Rubio, Angel |
author_facet | Romero, Juan P. Muniategui, Ander De Miguel, Fernando J. Aramburu, Ander Montuenga, Luis Pio, Ruben Rubio, Angel |
author_sort | Romero, Juan P. |
collection | PubMed |
description | BACKGROUND: Alternative splicing (AS) is a major source of variability in the transcriptome of eukaryotes. There is an increasing interest in its role in different pathologies. Before sequencing technology appeared, AS was measured with specific arrays. However, these arrays did not perform well in the detection of AS events and provided very large false discovery rates (FDR). Recently the Human Transcriptome Array 2.0 (HTA 2.0) has been deployed. It includes junction probes. However, the interpretation software provided by its vendor (TAC 3.0) does not fully exploit its potential (does not study jointly the exons and junctions involved in a splicing event) and can only be applied to case–control studies. New statistical algorithms and software must be developed in order to exploit the HTA 2.0 array for event detection. RESULTS: We have developed EventPointer, an R package (built under the aroma.affymetrix framework) to search and analyze Alternative Splicing events using HTA 2.0 arrays. This software uses a linear model that broadens its application from plain case–control studies to complex experimental designs. Given the CEL files and the design and contrast matrices, the software retrieves a list of all the detected events indicating: 1) the type of event (exon cassette, alternative 3′, etc.), 2) its fold change and its statistical significance, and 3) the potential protein domains affected by the AS events and the statistical significance of the possible enrichment. Our tests have shown that EventPointer has an extremely low FDR value (only 1 false positive within the tested top-200 events). This software is publicly available and it has been uploaded to GitHub. CONCLUSIONS: This software empowers the HTA 2.0 arrays for AS event detection as an alternative to RNA-seq: simplifying considerably the required analysis, speeding it up and reducing the required computational power. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2816-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4912780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49127802016-06-19 EventPointer: an effective identification of alternative splicing events using junction arrays Romero, Juan P. Muniategui, Ander De Miguel, Fernando J. Aramburu, Ander Montuenga, Luis Pio, Ruben Rubio, Angel BMC Genomics Methodology Article BACKGROUND: Alternative splicing (AS) is a major source of variability in the transcriptome of eukaryotes. There is an increasing interest in its role in different pathologies. Before sequencing technology appeared, AS was measured with specific arrays. However, these arrays did not perform well in the detection of AS events and provided very large false discovery rates (FDR). Recently the Human Transcriptome Array 2.0 (HTA 2.0) has been deployed. It includes junction probes. However, the interpretation software provided by its vendor (TAC 3.0) does not fully exploit its potential (does not study jointly the exons and junctions involved in a splicing event) and can only be applied to case–control studies. New statistical algorithms and software must be developed in order to exploit the HTA 2.0 array for event detection. RESULTS: We have developed EventPointer, an R package (built under the aroma.affymetrix framework) to search and analyze Alternative Splicing events using HTA 2.0 arrays. This software uses a linear model that broadens its application from plain case–control studies to complex experimental designs. Given the CEL files and the design and contrast matrices, the software retrieves a list of all the detected events indicating: 1) the type of event (exon cassette, alternative 3′, etc.), 2) its fold change and its statistical significance, and 3) the potential protein domains affected by the AS events and the statistical significance of the possible enrichment. Our tests have shown that EventPointer has an extremely low FDR value (only 1 false positive within the tested top-200 events). This software is publicly available and it has been uploaded to GitHub. CONCLUSIONS: This software empowers the HTA 2.0 arrays for AS event detection as an alternative to RNA-seq: simplifying considerably the required analysis, speeding it up and reducing the required computational power. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2816-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-06-17 /pmc/articles/PMC4912780/ /pubmed/27315794 http://dx.doi.org/10.1186/s12864-016-2816-x Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Romero, Juan P. Muniategui, Ander De Miguel, Fernando J. Aramburu, Ander Montuenga, Luis Pio, Ruben Rubio, Angel EventPointer: an effective identification of alternative splicing events using junction arrays |
title | EventPointer: an effective identification of alternative splicing events using junction arrays |
title_full | EventPointer: an effective identification of alternative splicing events using junction arrays |
title_fullStr | EventPointer: an effective identification of alternative splicing events using junction arrays |
title_full_unstemmed | EventPointer: an effective identification of alternative splicing events using junction arrays |
title_short | EventPointer: an effective identification of alternative splicing events using junction arrays |
title_sort | eventpointer: an effective identification of alternative splicing events using junction arrays |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912780/ https://www.ncbi.nlm.nih.gov/pubmed/27315794 http://dx.doi.org/10.1186/s12864-016-2816-x |
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