DbMTS: A comprehensive database of putative human microRNA target site SNVs and their functional predictions. Issue 6 (6th April 2020)

• Record Type: Journal Article
• Authors: Li, Chang; Mou, Chengcheng; Swartz, Michael D.; Yu, Bing; Bai, Yongsheng; Tu, Yicheng; Liu, Xiaoming
• Is Part Of: Human mutation. Volume 41:Issue 6(2020)
• Page Start: 1123
• Page End: 1130
• Publication Date: 2020-04-06
• Subjects: 3′‐untranslated region -- database -- functional prediction -- microRNA target -- variant; Human chromosome abnormalities -- Periodicals; Mutation (Biology) -- Periodicals; 616.04205
• DOI: 10.1002/humu.24020
• Languages: English
• ISSNs: 1059-7794

Abstract

Abstract: MicroRNAs (miRNA) are short noncoding RNAs that can repress the expression of protein‐coding messenger RNAs (mRNAs) by binding to the 3′‐untranslated region (UTR) of the target. Genetic mutations such as single nucleotide variants (SNVs) in the 3′‐UTR of the mRNAs can disrupt miRNA regulation. In this study, we presented dbMTS, a database for miRNA target site (MTS) SNVs and their functional annotations. This database can help studies easily identify putative SNVs that affect miRNA targeting and facilitate the prioritization of their functional importance. dbMTS is freely available for academic use at http://database.liulab.science/dbMTS as a web service or a downloadable attached database of dbNSFP. Abstract : We presented dbMTS, a database for microRNAs (miRNA) target site single nucleotide variants (SNVs) and their functional annotations. This database can help studies easily identify putative SNVs that affect miRNA targeting and facilitate the prioritization of their functional importance. dbMTS is freely available for academic use at http://database.liulab.science/dbMTS as a web service or a downloadable attached database of dbNSFP.