Identification of the miR-106b similar to 25 MicroRNA Cluster as a Proto-Oncogenic PTEN-Targeting Intron That Cooperates with Its Host Gene MCM7 in Transformation (vol 3, artn ra29, 2010)
SCIENCE SIGNALING
Authors: Poliseno, Laura; Salmena, Leonardo; Riccardi, Luisa; Fornari, Alessandro; Song, Min Sup; Hobbs, Robin M.; Sportoletti, Paolo; Varmeh, Shorheh; Egia, Ainara; Fedele, Giuseppe; Rameh, Lucia; Loda, Massimo; Pandolfi, Pier Paolo
Abstract
PTEN (phosphatase and tensin homolog deleted on chromosome 10) is a tumor suppressor that antagonizes signaling through the phosphatidylinositol-3-kinase-Akt pathway. We have demonstrated that subtle decreases in PTEN abundance can have critical consequences for tumorigenesis. Here, we used a computational approach to identify miR-22, miR-25, and miR-302 as three PTEN-targeting microRNA (miRNA) families found within nine genomic loci. We showed that miR-22 and the miR-106b similar to 25 cluster are aberrantly overexpressed in human prostate cancer, correlate with abundance of the miRNA processing enzyme DICER, and potentiate cellular transformation both in vitro and in vivo. We demonstrated that the intronic miR-106b similar to 25 cluster cooperates with its host gene MCM7 in cellular transformation both in vitro and in vivo, so that the concomitant overexpression of MCM7 and the miRNA cluster triggers prostatic intraepithelial neoplasia in transgenic mice. Therefore, the MCM7 gene locus delivers two simultaneous oncogenic insults when amplified or overexpressed in human cancer. Thus, we have uncovered a proto-oncogenic miRNA-dependent network for PTEN regulation and defined the MCM7 locus as a critical factor in initiating prostate tumorigenesis.
Theoretical investigation of the dissociation dynamics of vibrationally excited vinyl bromide on an ab initio potential-energy surface obtained using modified novelty sampling and feed-forward neural networks (Retraction of vol 124, artn 054321, 2006)
JOURNAL OF CHEMICAL PHYSICS
Authors: Doughan, D. I.; Raff, L. M.; Rockley, M. G.; Hagan, M.; Agrawal, Paras M.; Komanduri, R.
Abstract