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PMID: 23980094 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

A comparative genomic approach for identifying synthetic lethal interactions in human cancer.

Cancer research ·Vol. 73 ·No. 20 ·2013-10-15 ·页码 6128-36

Deshpande R, Asiedu MK, Klebig M, Sutor S, Kuzmin E, Nelson J, Piotrowski J, Shin SH, Yoshida M, Costanzo M, Boone C, Wigle DA, Myers CL

Abstract

Synthetic lethal interactions enable a novel approach for discovering specific genetic vulnerabilities in cancer cells that can be exploited for the development of therapeutics. Despite successes in model organisms such as yeast, discovering synthetic lethal interactions on a large scale in human cells remains a significant challenge. We describe a comparative genomic strategy for identifying cancer-relevant synthetic lethal interactions whereby candidate interactions are prioritized on the basis of genetic interaction data available in yeast, followed by targeted testing of candidate interactions in human cell lines. As a proof of principle, we describe two novel synthetic lethal interactions in human cells discovered by this approach, one between the tumor suppressor gene SMARCB1 and PSMA4, and another between alveolar soft-part sarcoma-associated ASPSCR1 and PSMC2. These results suggest therapeutic targets for cancers harboring mutations in SMARCB1 or ASPSCR1 and highlight the potential of a targeted, cross-species strategy for identifying synthetic lethal interactions relevant to human cancer.

MeSH 主题词
Animals Cell Culture Techniques Chromosomal Proteins, Non-Histone/genetics DNA-Binding Proteins/genetics Genomics Humans Neoplasms/genetics,metabolism RNA, Small Interfering/genetics,metabolism SMARCB1 Protein Transcription Factors/genetics
化学物质
Chromosomal Proteins, Non-Histone DNA-Binding Proteins RNA, Small Interfering SMARCB1 Protein SMARCB1 protein, human Transcription Factors
作者与单位
共 13 位作者,点击展开单位 / ORCID
Deshpande Raamesh
Authors' Affiliations: Department of Computer Science and Engineering; Program in Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis; Department of Surgery, Mayo Clinic, Rochester, Minnesota; Department of Laboratory Medicine & Pathology, Molecular Genetics Lab, Mayo Clinic, Rochester, Minnesota; Department of Molecular Genetics, Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Ontario, Canada; Chemical Genomics Research Group, RIKEN Advance Science Institute, Saitama, Japan; and Great Lakes Bioenergy Research Center, University of Wisconsin, Madison, Wisconsin.
Asiedu Michael K
Klebig Mitchell
Sutor Shari
Kuzmin Elena
Nelson Justin
Piotrowski Jeff
Shin Seung Ho
Yoshida Minoru
Costanzo Michael
Boone Charles
Wigle Dennis A
Myers Chad L
Article Info
Journal
Cancer research
Abbr.
Cancer Res
ISSN
1538-7445
Published
2013-10-15
电子出版
2013-00-26
页码
6128-36
Language
English
Country/Region
United States
NLM ID
2984705R
基金资助
NHGRI NIH HHS · R01 HG005084 · United States
CIHR · MOP-97939 · Canada
CIHR · MOP-10262 · Canada
CIHR · MOP-57830 · Canada
NHGRI NIH HHS · 1R01HG005084-01A1 · United States
NHGRI NIH HHS · 1R01HG005853-01 · United States
NHGRI NIH HHS · R01 HG005853 · United States
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