A combined
computational-experimental approach predicts human microRNA targets
Abstract :
MicroRNAs (miRNAs) are small RNAs that regulate
the expression of complementary messenger RNAs. miRNAs associate with various
proteins to form riboprotein silencing complexes, which bind miRNA recognition
elements (MREs) to suppress expression. Although a large number of miRNAs have
been reported, researchers have yet to identify targets for these miRNAs. In
this paper, authors demonstrate a combined experimental genetics and
bioinformatics approach to identify human additional miRNA-regulated genes, and
generate a computational program “DIANA-microT” to identify and predict mRNA
targets which bearing single MREs for human and mouse miRNAs. Their findings
reveal new insights into the prediction of MREs for a given miRNA, and the
structural rules governing gene silencing by miRNA-MRE complexes.
From Genes
Dev. 2004 May 15;18(10):1165-78. Epub 2004 May 06.
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