Cargando…
miRDB: an online resource for microRNA target prediction and functional annotations
MicroRNAs (miRNAs) are small non-coding RNAs that are extensively involved in many physiological and disease processes. One major challenge in miRNA studies is the identification of genes regulated by miRNAs. To this end, we have developed an online resource, miRDB (http://mirdb.org), for miRNA targ...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383922/ https://www.ncbi.nlm.nih.gov/pubmed/25378301 http://dx.doi.org/10.1093/nar/gku1104 |
_version_ | 1782364813591052288 |
---|---|
author | Wong, Nathan Wang, Xiaowei |
author_facet | Wong, Nathan Wang, Xiaowei |
author_sort | Wong, Nathan |
collection | PubMed |
description | MicroRNAs (miRNAs) are small non-coding RNAs that are extensively involved in many physiological and disease processes. One major challenge in miRNA studies is the identification of genes regulated by miRNAs. To this end, we have developed an online resource, miRDB (http://mirdb.org), for miRNA target prediction and functional annotations. Here, we describe recently updated features of miRDB, including 2.1 million predicted gene targets regulated by 6709 miRNAs. In addition to presenting precompiled prediction data, a new feature is the web server interface that allows submission of user-provided sequences for miRNA target prediction. In this way, users have the flexibility to study any custom miRNAs or target genes of interest. Another major update of miRDB is related to functional miRNA annotations. Although thousands of miRNAs have been identified, many of the reported miRNAs are not likely to play active functional roles or may even have been falsely identified as miRNAs from high-throughput studies. To address this issue, we have performed combined computational analyses and literature mining, and identified 568 and 452 functional miRNAs in humans and mice, respectively. These miRNAs, as well as associated functional annotations, are presented in the FuncMir Collection in miRDB. |
format | Online Article Text |
id | pubmed-4383922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43839222015-04-08 miRDB: an online resource for microRNA target prediction and functional annotations Wong, Nathan Wang, Xiaowei Nucleic Acids Res Database Issue MicroRNAs (miRNAs) are small non-coding RNAs that are extensively involved in many physiological and disease processes. One major challenge in miRNA studies is the identification of genes regulated by miRNAs. To this end, we have developed an online resource, miRDB (http://mirdb.org), for miRNA target prediction and functional annotations. Here, we describe recently updated features of miRDB, including 2.1 million predicted gene targets regulated by 6709 miRNAs. In addition to presenting precompiled prediction data, a new feature is the web server interface that allows submission of user-provided sequences for miRNA target prediction. In this way, users have the flexibility to study any custom miRNAs or target genes of interest. Another major update of miRDB is related to functional miRNA annotations. Although thousands of miRNAs have been identified, many of the reported miRNAs are not likely to play active functional roles or may even have been falsely identified as miRNAs from high-throughput studies. To address this issue, we have performed combined computational analyses and literature mining, and identified 568 and 452 functional miRNAs in humans and mice, respectively. These miRNAs, as well as associated functional annotations, are presented in the FuncMir Collection in miRDB. Oxford University Press 2014-11-05 2015-01-28 /pmc/articles/PMC4383922/ /pubmed/25378301 http://dx.doi.org/10.1093/nar/gku1104 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Wong, Nathan Wang, Xiaowei miRDB: an online resource for microRNA target prediction and functional annotations |
title | miRDB: an online resource for microRNA target prediction and functional annotations |
title_full | miRDB: an online resource for microRNA target prediction and functional annotations |
title_fullStr | miRDB: an online resource for microRNA target prediction and functional annotations |
title_full_unstemmed | miRDB: an online resource for microRNA target prediction and functional annotations |
title_short | miRDB: an online resource for microRNA target prediction and functional annotations |
title_sort | mirdb: an online resource for microrna target prediction and functional annotations |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383922/ https://www.ncbi.nlm.nih.gov/pubmed/25378301 http://dx.doi.org/10.1093/nar/gku1104 |
work_keys_str_mv | AT wongnathan mirdbanonlineresourceformicrornatargetpredictionandfunctionalannotations AT wangxiaowei mirdbanonlineresourceformicrornatargetpredictionandfunctionalannotations |