MicroSNiPer: a web tool for prediction of SNP effects on putative microRNA targets

Hum Mutat. 2010 Nov;31(11):1223-32. doi: 10.1002/humu.21349. Epub 2010 Oct 7.

Abstract

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 3'-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.

Publication types

  • Research Support, N.I.H., Intramural
  • Validation Study

MeSH terms

  • 3' Untranslated Regions
  • Algorithms
  • Animals
  • Base Sequence
  • Binding Sites / genetics
  • Computational Biology
  • Databases, Nucleic Acid*
  • Fibroblast Growth Factors / genetics
  • Humans
  • Internet*
  • Mice
  • MicroRNAs / genetics*
  • MicroRNAs / metabolism*
  • Molecular Sequence Data
  • Polymorphism, Single Nucleotide*
  • Software
  • User-Computer Interface

Substances

  • 3' Untranslated Regions
  • FGF20 protein, human
  • MicroRNAs
  • Fibroblast Growth Factors