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Analysis of differential splicing suggests different modes of short-term splicing regulation
Motivation: Alternative splicing is an important mechanism in which the regions of pre-mRNAs are differentially joined in order to form different transcript isoforms. Alternative splicing is involved in the regulation of normal physiological functions but also linked to the development of diseases s...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908367/ https://www.ncbi.nlm.nih.gov/pubmed/27307611 http://dx.doi.org/10.1093/bioinformatics/btw283 |
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author | Topa, Hande Honkela, Antti |
author_facet | Topa, Hande Honkela, Antti |
author_sort | Topa, Hande |
collection | PubMed |
description | Motivation: Alternative splicing is an important mechanism in which the regions of pre-mRNAs are differentially joined in order to form different transcript isoforms. Alternative splicing is involved in the regulation of normal physiological functions but also linked to the development of diseases such as cancer. We analyse differential expression and splicing using RNA-sequencing time series in three different settings: overall gene expression levels, absolute transcript expression levels and relative transcript expression levels. Results: Using estrogen receptor α signaling response as a model system, our Gaussian process-based test identifies genes with differential splicing and/or differentially expressed transcripts. We discover genes with consistent changes in alternative splicing independent of changes in absolute expression and genes where some transcripts change whereas others stay constant in absolute level. The results suggest classes of genes with different modes of alternative splicing regulation during the experiment. Availability and Implementation: R and Matlab codes implementing the method are available at https://github.com/PROBIC/diffsplicing. An interactive browser for viewing all model fits is available at http://users.ics.aalto.fi/hande/splicingGP/ Contact: hande.topa@helsinki.fi or antti.honkela@helsinki.fi Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4908367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49083672016-06-17 Analysis of differential splicing suggests different modes of short-term splicing regulation Topa, Hande Honkela, Antti Bioinformatics Ismb 2016 Proceedings July 8 to July 12, 2016, Orlando, Florida Motivation: Alternative splicing is an important mechanism in which the regions of pre-mRNAs are differentially joined in order to form different transcript isoforms. Alternative splicing is involved in the regulation of normal physiological functions but also linked to the development of diseases such as cancer. We analyse differential expression and splicing using RNA-sequencing time series in three different settings: overall gene expression levels, absolute transcript expression levels and relative transcript expression levels. Results: Using estrogen receptor α signaling response as a model system, our Gaussian process-based test identifies genes with differential splicing and/or differentially expressed transcripts. We discover genes with consistent changes in alternative splicing independent of changes in absolute expression and genes where some transcripts change whereas others stay constant in absolute level. The results suggest classes of genes with different modes of alternative splicing regulation during the experiment. Availability and Implementation: R and Matlab codes implementing the method are available at https://github.com/PROBIC/diffsplicing. An interactive browser for viewing all model fits is available at http://users.ics.aalto.fi/hande/splicingGP/ Contact: hande.topa@helsinki.fi or antti.honkela@helsinki.fi Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-06-15 2016-06-11 /pmc/articles/PMC4908367/ /pubmed/27307611 http://dx.doi.org/10.1093/bioinformatics/btw283 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Ismb 2016 Proceedings July 8 to July 12, 2016, Orlando, Florida Topa, Hande Honkela, Antti Analysis of differential splicing suggests different modes of short-term splicing regulation |
title | Analysis of differential splicing suggests different modes of short-term splicing regulation |
title_full | Analysis of differential splicing suggests different modes of short-term splicing regulation |
title_fullStr | Analysis of differential splicing suggests different modes of short-term splicing regulation |
title_full_unstemmed | Analysis of differential splicing suggests different modes of short-term splicing regulation |
title_short | Analysis of differential splicing suggests different modes of short-term splicing regulation |
title_sort | analysis of differential splicing suggests different modes of short-term splicing regulation |
topic | Ismb 2016 Proceedings July 8 to July 12, 2016, Orlando, Florida |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908367/ https://www.ncbi.nlm.nih.gov/pubmed/27307611 http://dx.doi.org/10.1093/bioinformatics/btw283 |
work_keys_str_mv | AT topahande analysisofdifferentialsplicingsuggestsdifferentmodesofshorttermsplicingregulation AT honkelaantti analysisofdifferentialsplicingsuggestsdifferentmodesofshorttermsplicingregulation |