) The Molecular Diagnostics Core provides Cancer Center members with access to technical capability that is not available to individual laboratories. The Core provides established techniques, offers new procedures developed in Cancer Center Research Programs, and facilitates clinical translation of newly developed tests. The Molecular Diagnostics Core contains 4 components: Cytometry: Provides flow cytometry and cell sorting, image cytometry including multi-color quantitative fluorescence microscopy, data analysis, confocal microscopy, and education. Genome Analysis: Provides DNA sequencing, analysis of LOH, linkage, SSCP, and microsatellite instability, and quantitative PCR analysis using TaqMan. Molecular Cytogenetics: Provides fluorescence in situ hybridization (FISH) based capability including probe mapping, copy number and translocation analysis, and comparative genomic hybridization (CGH) for human and murine specimens. It also provides laser capture microdissection, technical consultation, and education. Microarrays: Will provide DNA microarray capability for analysis of genomic copy number changes and mRNA expression levels. Each component of the Molecular Diagnostics Core is directed by a Cancer Center faculty member and operated by a manager. An advisory board consisting of a rotating group of three Cancer Center Program leaders and a representative from each of the departments of Laboratory Medicine and Pathology will oversee core operation and development to assure that resources are apportioned most effectively among the components to meet the needs of the Cancer Center investigators, and that the activities of this core are appropriately complementary to the other Cancer Center cores. Support for the Genome Analysis and Molecular Cytogenetics Shared Resources is requested as part of the CCSG; support for the Microarrays Service is requested under Developmental Funds; and the Cytometry Core is sustained by institutional support.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA082103-03
Application #
6501482
Study Section
Subcommittee E - Prevention &Control (NCI)
Project Start
2001-08-01
Project End
2002-07-31
Budget Start
Budget End
Support Year
3
Fiscal Year
2001
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Type
DUNS #
073133571
City
San Francisco
State
CA
Country
United States
Zip Code
94143
An, Zhenyi; Aksoy, Ozlem; Zheng, Tina et al. (2018) Epidermal growth factor receptor and EGFRvIII in glioblastoma: signaling pathways and targeted therapies. Oncogene 37:1561-1575
Behr, Spencer C; Villanueva-Meyer, Javier E; Li, Yan et al. (2018) Targeting iron metabolism in high-grade glioma with 68Ga-citrate PET/MR. JCI Insight 3:
Rubenstein, James L; Geng, Huimin; Fraser, Eleanor J et al. (2018) Phase 1 investigation of lenalidomide/rituximab plus outcomes of lenalidomide maintenance in relapsed CNS lymphoma. Blood Adv 2:1595-1607
An, Zhenyi; Knobbe-Thomsen, Christiane B; Wan, Xiaohua et al. (2018) EGFR Cooperates with EGFRvIII to Recruit Macrophages in Glioblastoma. Cancer Res 78:6785-6794
Olshen, Adam; Wolf, Denise; Jones, Ella F et al. (2018) Features of MRI stromal enhancement with neoadjuvant chemotherapy: a subgroup analysis of the ACRIN 6657/I-SPY TRIAL. J Med Imaging (Bellingham) 5:011014
Li, Megan; Kroetz, Deanna L (2018) Bevacizumab-induced hypertension: Clinical presentation and molecular understanding. Pharmacol Ther 182:152-160
Brunner, Katja; John, Constance M; Phillips, Nancy J et al. (2018) Novel Campylobacter concisus lipooligosaccharide is a determinant of inflammatory potential and virulence. J Lipid Res 59:1893-1905
Felix, Janine F; Joubert, Bonnie R; Baccarelli, Andrea A et al. (2018) Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium. Int J Epidemiol 47:22-23u
Cobler, Lara; Zhang, Hui; Suri, Poojan et al. (2018) xCT inhibition sensitizes tumors to ?-radiation via glutathione reduction. Oncotarget 9:32280-32297
Li, Megan; Mulkey, Flora; Jiang, Chen et al. (2018) Identification of a Genomic Region between SLC29A1 and HSP90AB1 Associated with Risk of Bevacizumab-Induced Hypertension: CALGB 80405 (Alliance). Clin Cancer Res 24:4734-4744

Showing the most recent 10 out of 192 publications