Application of RIP-Chip for the Identification of miRNA Targets
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MicroRNAs (miRNAs) are a class of noncoding small RNAs that can regulate gene expression at the posttranscriptional level.
To understand how miRNAs function, it is crucial to determine the mRNA targets that are regulated by specific miRNAs. Based
on known miRNA:mRNA interactions, miRNA target gene prediction programs have been developed that provide users with long lists
of potential target genes. However, due to the use of different thresholds and/or criteria used, there is limited overlap
between the putative miRNA targets as obtained by different miRNA target gene prediction programs. Moreover, it has been shown
that there are many exceptions to the general rules of miRNA targeting, and cell-type specific miRNA and target gene expression
patterns are not considered. Therefore, predicted targets need to be validated using, for instance, reporter assays that are
labor intensive and may not always mimic endogenous miRNA:mRNA interactions. For these reasons, there is a clear need for
a high-throughput method that allows for the unbiased detection of miRNA:mRNA interactions in the cell type of interest without
the need of target gene prediction programs. Here, we provide a protocol called Ribonucleoprotein ImmunoPrecipitation – gene
Chip (RIP-Chip) that results in the identification of all miRNA targets (miRNA targetome) in a given cell population. This
biochemical approach is based on the immunoprecipiation of the RNA-induced silencing complex (RISC) followed by the identification
of the transcripts that are enriched in the immunoprecipitated fraction by microarray analysis.