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Two-tiered approach identifies a network of cancer and liver disease-related genes regulated by miR-122
Authors:Boutz Daniel R  Collins Patrick J  Suresh Uthra  Lu Mingzhu  Ramírez Cristina M  Fernández-Hernando Carlos  Huang Yufei  Abreu Raquel de Sousa  Le Shu-Yun  Shapiro Bruce A  Liu Angela M  Luk John M  Aldred Shelley Force  Trinklein Nathan D  Marcotte Edward M  Penalva Luiz O F
Affiliation:Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas, Austin, Texas 78712, USA. dboutz@mail.utexas.edu
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.
Keywords:Cellular Regulation   Gene Regulation   Liver   Liver Metabolism   Mass Spectrometry (MS)   MicroRNA   Proteomics   miR-122
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