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Nucleic Acids Res. 2015 Jan;43(Database issue):D146-52. doi: 10.1093/nar/gku1104. Epub 2014 Nov 5.

miRDB: an online resource for microRNA target prediction and functional annotations.

Author information

  • 1Department of Biomedical Engineering, Washington University, St. Louis, MO 63130, USA Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • 2Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO 63108, USA Department of Biomedical Engineering, Washington University, St. Louis, MO 63130, USA xwang@radonc.wustl.edu.

Abstract

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.

PMID:
25378301
PMCID:
PMC4383922
DOI:
10.1093/nar/gku1104
[PubMed - indexed for MEDLINE]
Free PMC Article
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