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Article: Two-tiered approach identifies a network of cancer and liver disease-related genes regulated by miR-122
Title | Two-tiered approach identifies a network of cancer and liver disease-related genes regulated by miR-122 | ||||||||||||||||
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Authors | |||||||||||||||||
Issue Date | 2011 | ||||||||||||||||
Publisher | American Society for Biochemistry and Molecular Biology, Inc. The Journal's web site is located at http://www.jbc.org/ | ||||||||||||||||
Citation | Journal Of Biological Chemistry, 2011, v. 286 n. 20, p. 18066-18078 How to Cite? | ||||||||||||||||
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 reporterbased 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. | ||||||||||||||||
Persistent Identifier | http://hdl.handle.net/10722/135557 | ||||||||||||||||
ISSN | 2020 Impact Factor: 5.157 2023 SCImago Journal Rankings: 1.766 | ||||||||||||||||
PubMed Central ID | |||||||||||||||||
ISI Accession Number ID |
Funding Information: This work was supported, in whole or in part, by National Institutes of Health Grants GM076536, GM067779, and GM088624, and Grant F-1515 from the Welch Foundation and by the Packard Foundation. (to E. M. M.) and the NCI Center for Cancer Research Intramural Research Program (to the B. A. S. laboratory). This work was also supported by the Children's Cancer Research Institute, University of Texas Health Science Center at San Antonio (to the L. O. F. P. laboratory), and by SwitchGear Genomics. N. D. T., S. F. A., and P. J. C. are employees of and hold stock in SwitchGear Genomics. SwitchGear Genomics sells 3'UTR reporter vectors commercially. SwitchGear Genomics is the owner by assignment of patents or patent applications related to the 3'UTR reporter platform. | ||||||||||||||||
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Boutz, DR | en_HK |
dc.contributor.author | Collins, PJ | en_HK |
dc.contributor.author | Suresh, U | en_HK |
dc.contributor.author | Lu, M | en_HK |
dc.contributor.author | Ramírez, CM | en_HK |
dc.contributor.author | FernándezHernando, C | en_HK |
dc.contributor.author | Huang, Y | en_HK |
dc.contributor.author | Abreu, RDS | en_HK |
dc.contributor.author | Le, SY | en_HK |
dc.contributor.author | Shapiro, BA | en_HK |
dc.contributor.author | Liu, AM | en_HK |
dc.contributor.author | Luk, JM | en_HK |
dc.contributor.author | Aldred, SF | en_HK |
dc.contributor.author | Trinklein, ND | en_HK |
dc.contributor.author | Marcotte, EM | en_HK |
dc.contributor.author | Penalva, LOF | en_HK |
dc.date.accessioned | 2011-07-27T01:37:06Z | - |
dc.date.available | 2011-07-27T01:37:06Z | - |
dc.date.issued | 2011 | en_HK |
dc.identifier.citation | Journal Of Biological Chemistry, 2011, v. 286 n. 20, p. 18066-18078 | en_HK |
dc.identifier.issn | 0021-9258 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/135557 | - |
dc.description.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 reporterbased 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. | en_HK |
dc.language | eng | en_US |
dc.publisher | American Society for Biochemistry and Molecular Biology, Inc. The Journal's web site is located at http://www.jbc.org/ | en_HK |
dc.relation.ispartof | Journal of Biological Chemistry | en_HK |
dc.rights | Journal of Biological Chemistry. Copyright © American Society for Biochemistry and Molecular Biology, Inc. | - |
dc.subject.mesh | Carcinoma, Hepatocellular - genetics - metabolism | - |
dc.subject.mesh | Genes, Neoplasm | - |
dc.subject.mesh | Liver Neoplasms - genetics - metabolism | - |
dc.subject.mesh | MicroRNAs - genetics - metabolism | - |
dc.subject.mesh | RNA, Neoplasm - genetics - metabolism | - |
dc.title | Two-tiered approach identifies a network of cancer and liver disease-related genes regulated by miR-122 | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Luk, JM: jmluk@hkucc.hku.hk | en_HK |
dc.identifier.authority | Luk, JM=rp00349 | en_HK |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1074/jbc.M110.196451 | en_HK |
dc.identifier.pmid | 21402708 | - |
dc.identifier.pmcid | PMC3093880 | - |
dc.identifier.scopus | eid_2-s2.0-79955975777 | en_HK |
dc.identifier.hkuros | 188156 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-79955975777&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 286 | en_HK |
dc.identifier.issue | 20 | en_HK |
dc.identifier.spage | 18066 | en_HK |
dc.identifier.epage | 18078 | en_HK |
dc.identifier.isi | WOS:000290585200068 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Boutz, DR=6507782083 | en_HK |
dc.identifier.scopusauthorid | Collins, PJ=7402501086 | en_HK |
dc.identifier.scopusauthorid | Suresh, U=39661425000 | en_HK |
dc.identifier.scopusauthorid | Lu, M=9036352400 | en_HK |
dc.identifier.scopusauthorid | Ramírez, CM=39661254900 | en_HK |
dc.identifier.scopusauthorid | FernándezHernando, C=8634881600 | en_HK |
dc.identifier.scopusauthorid | Huang, Y=35558675700 | en_HK |
dc.identifier.scopusauthorid | Abreu, RDS=37060272400 | en_HK |
dc.identifier.scopusauthorid | Le, SY=7006184376 | en_HK |
dc.identifier.scopusauthorid | Shapiro, BA=7402300640 | en_HK |
dc.identifier.scopusauthorid | Liu, AM=36134439500 | en_HK |
dc.identifier.scopusauthorid | Luk, JM=7006777791 | en_HK |
dc.identifier.scopusauthorid | Aldred, SF=6602335040 | en_HK |
dc.identifier.scopusauthorid | Trinklein, ND=6506767060 | en_HK |
dc.identifier.scopusauthorid | Marcotte, EM=7003412942 | en_HK |
dc.identifier.scopusauthorid | Penalva, LOF=6602188332 | en_HK |
dc.identifier.citeulike | 9002402 | - |
dc.identifier.issnl | 0021-9258 | - |