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miRTissue: a web application for the analysis of miRNA-target interactions in human tissues
BACKGROUND: microRNAs act as regulators of gene expression interacting with their gene targets. Current bioinformatics services, such as databases of validated miRNA-target interactions and prediction tools, usually provide interactions without any information about what tissue that interaction is m...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266954/ https://www.ncbi.nlm.nih.gov/pubmed/30497361 http://dx.doi.org/10.1186/s12859-018-2418-5 |
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author | Fiannaca, Antonino La Rosa, Massimo La Paglia, Laura Urso, Alfonso |
author_facet | Fiannaca, Antonino La Rosa, Massimo La Paglia, Laura Urso, Alfonso |
author_sort | Fiannaca, Antonino |
collection | PubMed |
description | BACKGROUND: microRNAs act as regulators of gene expression interacting with their gene targets. Current bioinformatics services, such as databases of validated miRNA-target interactions and prediction tools, usually provide interactions without any information about what tissue that interaction is more likely to appear nor information about the type of interactions, causing mRNA degradation or translation inhibition respectively. RESULTS: In this work, we introduce miRTissue, a web application that combines validated miRNA-target interactions with statistical correlation among expression profiles of miRNAs, genes and proteins in 15 different human tissues. Validated interactions are taken from the miRTarBase database, while expression profiles are downloaded from The Cancer Genome Atlas repository. As a result, the service provides a tissue-specific characterisation of each couple of miRNA and gene together with its statistical significance (p-value). The inclusion of protein data also allows providing the type of interaction. Moreover, miRTissue offers several views for analysing interactions, focusing for example on the comparison between different cancer types or different tissue conditions. All the results are freely downloadable in the most common formats. CONCLUSIONS: miRTissue fills a gap concerning current bioinformatics services related to miRNA-target interactions because it provides a tissue-specific context to each validated interaction and the type of interaction itself. miRTissue is easily browsable allowing the user to select miRNAs, genes, cancer types and tissue conditions. The results can be sorted according to p-values to immediately identify those interactions that are more likely to occur in a given tissue. miRTissue is available at http://tblab.pa.icar.cnr.it/mirtissue.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2418-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6266954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62669542018-12-05 miRTissue: a web application for the analysis of miRNA-target interactions in human tissues Fiannaca, Antonino La Rosa, Massimo La Paglia, Laura Urso, Alfonso BMC Bioinformatics Research BACKGROUND: microRNAs act as regulators of gene expression interacting with their gene targets. Current bioinformatics services, such as databases of validated miRNA-target interactions and prediction tools, usually provide interactions without any information about what tissue that interaction is more likely to appear nor information about the type of interactions, causing mRNA degradation or translation inhibition respectively. RESULTS: In this work, we introduce miRTissue, a web application that combines validated miRNA-target interactions with statistical correlation among expression profiles of miRNAs, genes and proteins in 15 different human tissues. Validated interactions are taken from the miRTarBase database, while expression profiles are downloaded from The Cancer Genome Atlas repository. As a result, the service provides a tissue-specific characterisation of each couple of miRNA and gene together with its statistical significance (p-value). The inclusion of protein data also allows providing the type of interaction. Moreover, miRTissue offers several views for analysing interactions, focusing for example on the comparison between different cancer types or different tissue conditions. All the results are freely downloadable in the most common formats. CONCLUSIONS: miRTissue fills a gap concerning current bioinformatics services related to miRNA-target interactions because it provides a tissue-specific context to each validated interaction and the type of interaction itself. miRTissue is easily browsable allowing the user to select miRNAs, genes, cancer types and tissue conditions. The results can be sorted according to p-values to immediately identify those interactions that are more likely to occur in a given tissue. miRTissue is available at http://tblab.pa.icar.cnr.it/mirtissue.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2418-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-30 /pmc/articles/PMC6266954/ /pubmed/30497361 http://dx.doi.org/10.1186/s12859-018-2418-5 Text en © The Author(s) 2018 Open Access This 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 | Research Fiannaca, Antonino La Rosa, Massimo La Paglia, Laura Urso, Alfonso miRTissue: a web application for the analysis of miRNA-target interactions in human tissues |
title | miRTissue: a web application for the analysis of miRNA-target interactions in human tissues |
title_full | miRTissue: a web application for the analysis of miRNA-target interactions in human tissues |
title_fullStr | miRTissue: a web application for the analysis of miRNA-target interactions in human tissues |
title_full_unstemmed | miRTissue: a web application for the analysis of miRNA-target interactions in human tissues |
title_short | miRTissue: a web application for the analysis of miRNA-target interactions in human tissues |
title_sort | mirtissue: a web application for the analysis of mirna-target interactions in human tissues |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266954/ https://www.ncbi.nlm.nih.gov/pubmed/30497361 http://dx.doi.org/10.1186/s12859-018-2418-5 |
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