Literature DB >> 21402708

Two-tiered approach identifies a network of cancer and liver disease-related genes regulated by miR-122.

Daniel R Boutz1, Patrick J Collins, Uthra Suresh, Mingzhu Lu, Cristina M Ramírez, Carlos Fernández-Hernando, Yufei Huang, Raquel de Sousa Abreu, Shu-Yun Le, Bruce A Shapiro, Angela M Liu, John M Luk, Shelley Force Aldred, Nathan D Trinklein, Edward M Marcotte, Luiz O F Penalva.   

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.
© 2011 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2011        PMID: 21402708      PMCID: PMC3093880          DOI: 10.1074/jbc.M110.196451

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  85 in total

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  32 in total

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2.  Identifying targets of human micrornas with the LightSwitch Luciferase Assay System using 3'UTR-reporter constructs and a microRNA mimic in adherent cells.

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Review 3.  MicroRNA: a connecting road between apoptosis and cholesterol metabolism.

Authors:  Yogita K Adlakha; Neeru Saini
Journal:  Tumour Biol       Date:  2016-04-22

Review 4.  A network-biology perspective of microRNA function and dysfunction in cancer.

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9.  Circulating microRNAs (cmiRNAs) as novel potential biomarkers for hepatocellular carcinoma.

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10.  MicroRNA expression might predict prognosis of epithelial hepatoblastoma.

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