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Biochem Biophys Res Commun. 2014 Mar 21;445(4):780-4. doi: 10.1016/j.bbrc.2014.01.181. Epub 2014 Feb 10.

Refining microRNA target predictions: sorting the wheat from the chaff.

Author information

1
Gene and Stem Cell Therapy Program, Centenarym Institute, University of Sydney, Locked Bag No 6, Newtown, NSW 2042, Australia. Electronic address: w.ritchie@centenary.usyd.edu.au.
2
Gene and Stem Cell Therapy Program, Centenarym Institute, University of Sydney, Locked Bag No 6, Newtown, NSW 2042, Australia. Electronic address: j.rasko@centenary.usyd.edu.au.

Abstract

microRNAs are short RNAs that reduce gene expression by binding to their targets. The accurate prediction of microRNA targets is essential to understanding the function of microRNAs. Computational predictions indicate that all human genes may be regulated by microRNAs, with each microRNA possibly targeting thousands of genes. Here we discuss computational methods for identifying mammalian microRNA targets and refining them for further experimental validation. We describe microRNA target prediction resources and procedures and how they integrate with various types of experimental techniques that aim to validate them or further explore their function. We also provide a list of target prediction databases and explain how these are curated.

KEYWORDS:

Bioinformatics; gene regulation; microRNA target prediction

PMID:
24525131
DOI:
10.1016/j.bbrc.2014.01.181
[Indexed for MEDLINE]

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