Cargando…
MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis
BACKGROUND: miRNAs regulate the expression of several genes with one miRNA able to target multiple genes and with one gene able to be simultaneously targeted by more than one miRNA. Therefore, it has become indispensable to shorten the long list of miRNA-target interactions to put in the spotlight i...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6829817/ https://www.ncbi.nlm.nih.gov/pubmed/31684860 http://dx.doi.org/10.1186/s12859-019-3105-x |
_version_ | 1783465646013546496 |
---|---|
author | Licursi, Valerio Conte, Federica Fiscon, Giulia Paci, Paola |
author_facet | Licursi, Valerio Conte, Federica Fiscon, Giulia Paci, Paola |
author_sort | Licursi, Valerio |
collection | PubMed |
description | BACKGROUND: miRNAs regulate the expression of several genes with one miRNA able to target multiple genes and with one gene able to be simultaneously targeted by more than one miRNA. Therefore, it has become indispensable to shorten the long list of miRNA-target interactions to put in the spotlight in order to gain insight into understanding the regulatory mechanism orchestrated by miRNAs in various cellular processes. A reasonable solution is certainly to prioritize miRNA-target interactions to maximize the effectiveness of the downstream analysis. RESULTS: We propose a new and easy-to-use web tool MIENTURNET (MicroRNA ENrichment TURned NETwork) that receives in input a list of miRNAs or mRNAs and tackles the problem of prioritizing miRNA-target interactions by performing a statistical analysis followed by a fully featured network-based visualization and analysis. The statistics is used to assess the significance of an over-representation of miRNA-target interactions and then MIENTURNET filters based on the statistical significance associated with each miRNA-target interaction. In addition, the holistic approach of the network theory is used to infer possible evidences of miRNA regulation by capturing emergent properties of the miRNA-target regulatory network that would be not evident through a pairwise analysis of the individual components. CONCLUSION: MIENTURNET offers the possibility to consistently perform both statistical and network-based analyses by using only a single tool leading to a more effective prioritization of the miRNA-target interactions. This has the potential to avoid researchers without computational and informatics skills to navigate multiple websites and thus to independently investigate miRNA activity in every cellular process of interest in an easy and at the same time exhaustive way thanks to the intuitive web interface. The web application along with a well-documented and comprehensive user guide are freely available at http://userver.bio.uniroma1.it/apps/mienturnet/ without any login requirement. |
format | Online Article Text |
id | pubmed-6829817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68298172019-11-07 MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis Licursi, Valerio Conte, Federica Fiscon, Giulia Paci, Paola BMC Bioinformatics Software BACKGROUND: miRNAs regulate the expression of several genes with one miRNA able to target multiple genes and with one gene able to be simultaneously targeted by more than one miRNA. Therefore, it has become indispensable to shorten the long list of miRNA-target interactions to put in the spotlight in order to gain insight into understanding the regulatory mechanism orchestrated by miRNAs in various cellular processes. A reasonable solution is certainly to prioritize miRNA-target interactions to maximize the effectiveness of the downstream analysis. RESULTS: We propose a new and easy-to-use web tool MIENTURNET (MicroRNA ENrichment TURned NETwork) that receives in input a list of miRNAs or mRNAs and tackles the problem of prioritizing miRNA-target interactions by performing a statistical analysis followed by a fully featured network-based visualization and analysis. The statistics is used to assess the significance of an over-representation of miRNA-target interactions and then MIENTURNET filters based on the statistical significance associated with each miRNA-target interaction. In addition, the holistic approach of the network theory is used to infer possible evidences of miRNA regulation by capturing emergent properties of the miRNA-target regulatory network that would be not evident through a pairwise analysis of the individual components. CONCLUSION: MIENTURNET offers the possibility to consistently perform both statistical and network-based analyses by using only a single tool leading to a more effective prioritization of the miRNA-target interactions. This has the potential to avoid researchers without computational and informatics skills to navigate multiple websites and thus to independently investigate miRNA activity in every cellular process of interest in an easy and at the same time exhaustive way thanks to the intuitive web interface. The web application along with a well-documented and comprehensive user guide are freely available at http://userver.bio.uniroma1.it/apps/mienturnet/ without any login requirement. BioMed Central 2019-11-04 /pmc/articles/PMC6829817/ /pubmed/31684860 http://dx.doi.org/10.1186/s12859-019-3105-x Text en © The Author(s) 2019 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 | Software Licursi, Valerio Conte, Federica Fiscon, Giulia Paci, Paola MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis |
title | MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis |
title_full | MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis |
title_fullStr | MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis |
title_full_unstemmed | MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis |
title_short | MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis |
title_sort | mienturnet: an interactive web tool for microrna-target enrichment and network-based analysis |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6829817/ https://www.ncbi.nlm.nih.gov/pubmed/31684860 http://dx.doi.org/10.1186/s12859-019-3105-x |
work_keys_str_mv | AT licursivalerio mienturnetaninteractivewebtoolformicrornatargetenrichmentandnetworkbasedanalysis AT contefederica mienturnetaninteractivewebtoolformicrornatargetenrichmentandnetworkbasedanalysis AT fiscongiulia mienturnetaninteractivewebtoolformicrornatargetenrichmentandnetworkbasedanalysis AT pacipaola mienturnetaninteractivewebtoolformicrornatargetenrichmentandnetworkbasedanalysis |