Flow Cytometry Shared Resource The Flow Cytometry Shared Resource has been an integral component of the UC San Diego Moores Cancer Center since 1990. It exists to provide peer-review, funded investigators from all Divisions of the Cancer Center, as well other investigators from across and the La Jolla biomedical research community, with ready access to high-speed analysis and/or cell sorting of dissociated cell populations from clinical samples, animal experiments and cell culture studies. The services available from this Resource are as follows: Analytical Flow Cytometry: can be performed on FACSCalibu, FACSAria I or FACSAria II flow cytometers depending on the application. The FACSCalibur is a bench-top flow cytometer that can be used for analysis of up to four-colors of fluorescence and two independent light scatter parameters. The FACSAria is a three-laser flow cytometer that can be used for analyses of cells/particles labeled with up to eleven colors of fluorescence, along with forward and side-angle light scatter parameters. The FACSAria utilizes FACSDiva software, which has many advanced features, such as exponential scaling, adaptive gating, and automated fluorescence spectral compensation. The FACSCalibur flow cytometer computer system uses CELLQuest software for list-mode data recording and analysis. These services allow investigators to analyze cell populations for hundreds of different types of experiments, including cell cycle status, surface and/or cytoplasmic antigen phenotype, apoptosis, or expression of a transgene (e.g. following transduction with green fluorescent protein [GFP]).

Public Health Relevance

The availability of the Flow Cytometry Shared Resource enables our researchers to conduct high-speed analysis and/or cell sorting of dissociated cell populations from clinical samples, animal experiments and cell culture studies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA023100-28
Application #
8934943
Study Section
Subcommittee G - Education (NCI)
Program Officer
Shafik, Hasnaa
Project Start
2014-07-21
Project End
2019-04-30
Budget Start
2014-07-21
Budget End
2015-04-30
Support Year
28
Fiscal Year
2014
Total Cost
$191,622
Indirect Cost
$66,764
Name
University of California San Diego
Department
Type
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Dow, Michelle; Pyke, Rachel M; Tsui, Brian Y et al. (2018) Integrative genomic analysis of mouse and human hepatocellular carcinoma. Proc Natl Acad Sci U S A 115:E9879-E9888
Que, Xuchu; Hung, Ming-Yow; Yeang, Calvin et al. (2018) Oxidized phospholipids are proinflammatory and proatherogenic in hypercholesterolaemic mice. Nature 558:301-306
Murzin, Vyacheslav L; Woods, Kaley; Moiseenko, Vitali et al. (2018) 4? plan optimization for cortical-sparing brain radiotherapy. Radiother Oncol 127:128-135
Norton, Jeffrey A; Kim, Teresa; Kim, Joseph et al. (2018) SSAT State-of-the-Art Conference: Current Surgical Management of Gastric Tumors. J Gastrointest Surg 22:32-42
Ikeda, Sadakatsu; Tsigelny, Igor F; Skjevik, Åge A et al. (2018) Next-Generation Sequencing of Circulating Tumor DNA Reveals Frequent Alterations in Advanced Hepatocellular Carcinoma. Oncologist 23:586-593
Buckley, Alexandra R; Ideker, Trey; Carter, Hannah et al. (2018) Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome Atlas. Genome Med 10:69
Parish, Austin J; Nguyen, Vi; Goodman, Aaron M et al. (2018) GNAS, GNAQ, and GNA11 alterations in patients with diverse cancers. Cancer 124:4080-4089
Xu, Selene; Thompson, Wesley; Ancoli-Israel, Sonia et al. (2018) Cognition, quality-of-life, and symptom clusters in breast cancer: Using Bayesian networks to elucidate complex relationships. Psychooncology 27:802-809
Tao, Li; Schwab, Richard B; San Miguel, Yazmin et al. (2018) Breast Cancer Mortality in Older and Younger Breast Cancer Patients in California. Cancer Epidemiol Biomarkers Prev :
Sagredo, Eduardo A; Blanco, Alejandro; Sagredo, Alfredo I et al. (2018) ADAR1-mediated RNA-editing of 3'UTRs in breast cancer. Biol Res 51:36

Showing the most recent 10 out of 862 publications