MicroSNiPer: A Web Tool for Prediction of SNP Effects on Putative microRNA Targets

被引：119

作者：

Barenboim, Maxim ^{[1
]}

Zoltick, Brad J. ^{[1
]}

Guo, Yongjian ^{[2
]}

Weinberger, Daniel R. ^{[1
]}

机构：

[1] NIMH, Genes Cognit & Psychosis Program, Clin Brain Disorders Branch, NIH, Bethesda, MD 20892 USA

[2] NIAID, Bioinformat & Computat Biosci Branch, OCICB OSMO OD, NIH, Bethesda, MD 20892 USA

来源：

HUMAN MUTATION | 2010年 / 31卷 / 11期

关键词：

microRNA; SNP; FASTA program; 3 ' UTR; gene expression; computational prediction; BINDING-SITES; MESSENGER-RNAS; GENE; POLYMORPHISMS; DATABASE; IDENTIFICATION; COMPLEMENTARY; EXPRESSION; ALPHA; RISK;

D O I：

10.1002/humu.21349

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

MicroRNAs are short, approximately 22 nucleotide noncoding RNAs binding to partially complementary sites in the 3'UTR of target mRNAs. This process generally results in repression of multiple targets by a particular microRNA. There is substantial interest in methods designed to predict the microRNA targets and effect of single nucleotide polymorphisms (SNPs) on microRNA binding, given the impact of microRNA on posttranscriptional regulation and its potential relation to complex diseases. We developed a web-based application, MicroSNiPer, which predicts the impact of a SNP on putative microRNA targets. This application interrogates the 30-untranslated region and predicts if a SNP within the target site will disrupt/eliminate or enhance/create a microRNA binding site. MicroSNiPer computes these sites and examines the effects of SNPs in real time. MicroSNiPer is a user-friendly Web-based tool. Its advantages include ease of use, flexibility, and straightforward graphical representation of the results. It is freely accessible at http://cbdb.nimh.nih.gov/microsniper. Hum Mutat 31: 1223-1232, 2010. (C) 2010 Wiley-Liss, Inc.

引用

页码：1223 / 1232

页数：10