An In Vivo Method to Identify microRNA Targets Not Predicted by Computation Algorithms: XXXX Targeting by miR-92a in @entity5 .

@entity1 @entity5 @entity4104 @entity3544 @entity157
UNASSIGNED: microRNA (miRNA) dysregulation is involved in the development and progression of various @entity1 @entity5 , including @entity157 ( @entity157 ). However, how to identify the miRNAs targeting specific mRNA in cells is a significant challenge because of the interaction complexity and the limited knowledge of rules governing these processes. Some miRNAs are not predictable by current computer algorithms available. Here, using @entity3544 mRNA as target, we established a new method, called miRNA in vivo precipitation (miRIP), to identify which kind of miRNAs can actually bind to the specific mRNA in cells. Several unpredictable miRNAs that bound @entity3544 mRNA in HepG2 and PC-3 cells were identified by the miRIP method. Among these miRNAs identified by miRIP, miR-92a was found and confirmed to interact robustly with @entity3544 mRNA, both in HepG2 and PC-3 cells. miR-92a was found to be remarkably increased in @entity157 tissues, and higher expression of miR-92a significantly correlated with lower expression of @entity3544 , which is related to poor survival of @entity157 @entity1 . Moreover, inhibition of miR-92a could significantly suppress @entity157 growth in vitro and in vivo by upregulating @entity3544 . Together, miR-92a, which is identified by miRIP, is functionally shown to be associated with @entity157 growth as an oncogenic miRNA by inhibiting expression of targeting gene @entity3544 . In addition, several unpredictable miRNAs that target @entity4104 mRNA were also identified by the miRIP method in HepG2 cells. Our results demonstrated that the miRIP approach can effectively identify the unpredictable but intracellular existing miRNAs that target specific mRNA in vivo. @entity5 Res; 75(14); 1-11.   2015 AACR.
