TY - JOUR
T1 - miRDB
T2 - An online resource for microRNA target prediction and functional annotations
AU - Wong, Nathan
AU - Wang, Xiaowei
N1 - Funding Information:
National Institutes of Health (NIH) [R01GM089784 to X.W.]. Funding for open access charge: NIH [R01GM089784 to X.W.]. Conflict of interest statement. None declared.
Publisher Copyright:
© The Author(s) 2014.
PY - 2015/1/28
Y1 - 2015/1/28
N2 - 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), formiRNA 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. Anothermajor 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.
AB - 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), formiRNA 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. Anothermajor 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.
UR - http://www.scopus.com/inward/record.url?scp=84941083219&partnerID=8YFLogxK
U2 - 10.1093/nar/gku1104
DO - 10.1093/nar/gku1104
M3 - Article
C2 - 25378301
AN - SCOPUS:84941083219
SN - 0305-1048
VL - 43
SP - D146-D152
JO - Nucleic acids research
JF - Nucleic acids research
IS - D1
ER -