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Regulatory interplay between miR-21, JAG1 and 17beta-estradiol (E2) in breast cancer cells.

S Duygu Selcuklu | Mark T A Donoghue | Michael J Kerin | Charles Spillane
Biochemical and biophysical research communications | 2012

Overexpression of the oncomir miR-21 is associated with many cancers, including breast cancer. Elevated levels of Jagged-1 (JAG1), a predicted miR-21 target, are implicated in estrogen receptor negative (ER-) breast cancer. We demonstrate (by ablation of the miR-21 binding site in the JAG1 3'UTR) that miR-21 directly targets and represses JAG1 levels in MCF-7 (ER+) breast cancer cells. MiR-21 targeting of JAG1 in MDA-MB-231 (ER-) breast cancer cells is dependent on miR-21 dosage (levels). In both cell lines, miR-21 and JAG1 expression levels were negatively correlated due to their regulatory relationship. In addition, 17beta-estradiol (E2) increases JAG1 levels by limiting (via downregulating miR-21 levels) the repressive effects of miR-21 on the JAG1 3'UTR. Our results reveal a regulatory interplay between miR-21, JAG1 and E2 that is important for advancing understanding of how the oncogenic potential of miR-21 and JAG1 manifests in different sub-types of breast cancer.

Pubmed ID: 22618231

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microRNA.org (tool)

RRID:SCR_006997

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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