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

doi:10.1093/bioinformatics/bts589

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

Computer Science

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	3166-3168
Number of pages	3
Journal	Bioinformatics
Volume	28
Issue number	23
DOIs	https://doi.org/10.1093/bioinformatics/bts589
State	Published - 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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10.1093/bioinformatics/bts589

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title = "MiR-EdiTar: A database of predicted A-to-I edited miRNA target sites",

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.",

author = "Alessandro Lagan{\`a} and Alessio Paone and Dario Veneziano and Luciano Cascione and Pierluigi Gasparini and Stefania Carasi and Francesco Russo and Giovanni Nigita and Valentina MacCa and Rosalba Giugno and Alfredo Pulvirenti and Dennis Shasha and Alfredo Ferro and Croce, {Carlo M.}",

note = "Funding Information: Funding: This work has been supported by a fellowship sponsored by {\textquoteleft}Associazione Sclerosi Tuberosa{\textquoteright} (AST) to V.M. and U.S. National Science Foundation grants 0922738, 0929338 and 1158273 and National Institutes of Health grants GM 32877-21/ 22 and 2R01GM032877-25A1 to D.S.",

year = "2012",

month = dec,

doi = "10.1093/bioinformatics/bts589",

language = "English (US)",

volume = "28",

pages = "3166--3168",

journal = "Bioinformatics",

issn = "1367-4803",

publisher = "Oxford University Press",

number = "23",

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TY - JOUR

T1 - MiR-EdiTar

T2 - A database of predicted A-to-I edited miRNA target sites

AU - Laganà, Alessandro

AU - Paone, Alessio

AU - Veneziano, Dario

AU - Cascione, Luciano

AU - Gasparini, Pierluigi

AU - Carasi, Stefania

AU - Russo, Francesco

AU - Nigita, Giovanni

AU - MacCa, Valentina

AU - Giugno, Rosalba

AU - Pulvirenti, Alfredo

AU - Shasha, Dennis

AU - Ferro, Alfredo

AU - Croce, Carlo M.

N1 - Funding Information: Funding: This work has been supported by a fellowship sponsored by ‘Associazione Sclerosi Tuberosa’ (AST) to V.M. and U.S. National Science Foundation grants 0922738, 0929338 and 1158273 and National Institutes of Health grants GM 32877-21/ 22 and 2R01GM032877-25A1 to D.S.

PY - 2012/12

Y1 - 2012/12

N2 - 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.

AB - 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.

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

Abstract

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