MiR-EdiTar: A database of predicted A-to-I edited miRNA target sites

Alessandro Laganà, Alessio Paone, Dario Veneziano, Luciano Cascione, Pierluigi Gasparini, Stefania Carasi, Francesco Russo, Giovanni Nigita, Valentina MacCa, Rosalba Giugno, Alfredo Pulvirenti, Dennis Shasha, Alfredo Ferro, Carlo M. Croce

Research output: Contribution to journalArticlepeer-review

Abstract

Motivation: A-to-I RNA editing is an important mechanism that consists of the conversion of specific adenosines into inosines in RNA molecules. Its dysregulation has been associated to several human diseases including cancer. Recent work has demonstrated a role for A-to-I editing in microRNA (miRNA)-mediated gene expression regulation. In fact, edited forms of mature miRNAs can target sets of genes that differ from the targets of their unedited forms. The specific deamination of mRNAs can generate novel binding sites in addition to potentially altering existing ones. Results: This work presents miR-EdiTar, a database of predicted A-to-I edited miRNA binding sites. The database contains predicted miRNA binding sites that could be affected by A-to-I editing and sites that could become miRNA binding sites as a result of A-to-I editing.

Original languageEnglish (US)
Pages (from-to)3166-3168
Number of pages3
JournalBioinformatics
Volume28
Issue number23
DOIs
StatePublished - Dec 2012

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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