miRNAs are largely known to base pair with the 3'UTR of target mRNAs, downregulating their stability and translation. mRNA of betaTrCP1 ubiquitin ligase is very unstable, but unlike the majority of mRNAs where 3'UTR determines the rate of mRNA turnover, betaTrCP1 mRNA contains cis-acting destabilizing elements within its coding region. Here we show that degradation of mRNA of betaTrCP1 is miRNA dependent and identify miR-183 as a microRNA that interacts with the coding region of betaTrCP1 mRNA. Argonaute2 interacts with the same region of betaTrCP1 mRNA in an miR-183-dependent manner. Inhibition of miR-183 function or disruption of the miR-183-binding site stabilizes betaTrCP1 mRNA and elevates betaTrCP1 levels, resulting in activation of the SCF(betaTrCP) E3 ubiquitin ligase. We previously showed that the RNA-binding protein CRD-BP binds to the coding region of betaTrCP1 mRNA and stabilizes it. Here we demonstrate that CRD-BP prevents degradation of betaTrCP1 mRNA by attenuating its miR-183-dependent interaction with Ago2.
Pubmed ID: 19647520 RIS Download
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Database of microRNA target predictions and expression profiles. Target predictions are based on a development of the miRanda algorithm which incorporates current biological knowledge on target rules and on the use of an up-to-date compendium of mammalian microRNAs. MicroRNA expression profiles are derived from a comprehensive sequencing project of a large set of mammalian tissues and cell lines of normal and disease origin. This website enables users to explore: * The set of genes that are potentially regulated by a particular microRNA. * The implied cooperativity of multiple microRNAs on a particular mRNA. * MicroRNA expression profiles in various mammalian tissues. The web resource provides users with functional information about the growing number of microRNAs and their interaction with target genes in many species and facilitates novel discoveries in microRNA gene regulation. The microRNA Target Detection Software, miRanda, is an algorithm for finding genomic targets for microRNAs. This algorithm has been written in C and is available as an open-source method under the GPL.
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