Two-tiered Approach Identifies a Network of Cancer and Liver Disease-related Genes Regulated by miR-122

Daniel R. Boutz(The University of Texas at Austin), Patrick Collins(Southeastern Wisconsin Information Technology Exchange Consortium), Uthra Suresh(The University of Texas at San Antonio Health Science Center), Mingzhu Lu(The University of Texas at San Antonio), Cristina M. Ramírez(New York University), Carlos Fernández‐Hernando(New York University), Yufei Huang(The University of Texas at San Antonio Health Science Center), Raquel de Sousa Abreu(The University of Texas at San Antonio Health Science Center), Shu-Yun Le(National Institutes of Health), Bruce A. Shapiro(National Institutes of Health), Angela M. Liu(National University of Singapore), John M. Luk(National University of Singapore), Shelley Force Aldred(Southeastern Wisconsin Information Technology Exchange Consortium), Nathan D. Trinklein(Southeastern Wisconsin Information Technology Exchange Consortium), Edward M. Marcotte(The University of Texas at Austin), Luiz O. F. Penalva(National Institutes of Health)
Journal of Biological Chemistry
March 15, 2011
Cited by 57Open Access
Full Text

Abstract

MicroRNAs function as important regulators of gene expression and are commonly linked to development, differentiation, and diseases such as cancer. To better understand their roles in various biological processes, identification of genes targeted by microRNAs is necessary. Although prediction tools have significantly helped with this task, experimental approaches are ultimately required for extensive target search and validation. We employed two independent yet complementary high throughput approaches to map a large set of mRNAs regulated by miR-122, a liver-specific microRNA implicated in regulation of fatty acid and cholesterol metabolism, hepatitis C infection, and hepatocellular carcinoma. The combination of luciferase reporter-based screening and shotgun proteomics resulted in the identification of 260 proteins significantly down-regulated in response to miR-122 in at least one method, 113 of which contain predicted miR-122 target sites. These proteins are enriched for functions associated with the cell cycle, differentiation, proliferation, and apoptosis. Among these miR-122-sensitive proteins, we identified a large group with strong connections to liver metabolism, diseases, and hepatocellular carcinoma. Additional analyses, including examination of consensus binding motifs for both miR-122 and target sequences, provide further insight into miR-122 function.


Related Papers

No related papers found

Powered by citation graph analysis