The Wistar Institute Flow Cytometry Facility provides flow cytometric services and supports the use of flow cytometric techniques by Wistar Cancer Center investigators. The Facility's aims are to:1) provide the technological capability for high quality, single and multi-parameter analyses and/or cell sorting of many types of biological cells from homogeneous or mixed cell populations;2) provide training and expertise to assist investigators in choosing experimental conditions and reagents that optimize the use of the facility's instrumentation for their experimental needs;3) advise and provide technical support for analysis of flow cytometry/cell sorting data for publication, presentation, and inclusion in grant applications, along with storing, archiving, and retrieving flow cytometric data. The laboratory houses a DakoCytomation MoFlo highspeed cell sorter, a Becton-Dickinson FACSCalibur flow cytometry system, a Cytomation CYAN-ADP Ultra- High speed 9-color analytical cytometer, a Coulter XL-MCL automated analytical cytometer, and a Becton- Dickinson FACScan Bench top Analyzer. In July 2006, the Institute purchased and placed into service a Becton-Dickinson LSR II analytical cytometer (7-color analysis), which was upgraded in November 2007 with an additional laser and detectors allowing for 10-color analysis. 24-hour access is available for all of the investigator-operated instruments. A Beckman-Coulter EPICS Elite ESP is located in the BSL3 facility, allowing for both sorting and analysis of HIV-infected samples. Also in the main facility are additional workstations, a library of flow cytometry journals, protocol guides, and other written resources. Additional equipment includes fluorescence microscopes, 4?C refrigerators, and extensive spare parts, supplies, and tools in order to maintain the instruments at optimal operating levels. Since 2003, twenty-eight Cancer Center research groups from all Wistar research programs have utilized the Facility, generating approximately 170 publications.
Flow cytometry and cell sorting permit Cancer Center members to perform rapid, highly automated analysis of large populations of cells to enable the determination of the amount and types of component subpopulations that make up the entire population of cells. This is particularly valuable in analyzing populations of blood or immune cells. Cell sorting permits the purification of these cells for subsequent analysis.
|Tempera, Italo; De Leo, Alessandra; Kossenkov, Andrew V et al. (2016) Identification of MEF2B, EBF1, and IL6R as Direct Gene Targets of Epstein-Barr Virus (EBV) Nuclear Antigen 1 Critical for EBV-Infected B-Lymphocyte Survival. J Virol 90:345-55|
|Nelson, David M; Jaber-Hijazi, Farah; Cole, John J et al. (2016) Mapping H4K20me3 onto the chromatin landscape of senescent cells indicates a function in control of cell senescence and tumor suppression through preservation of genetic and epigenetic stability. Genome Biol 17:158|
|Seo, Jae Ho; Rivadeneira, Dayana B; Caino, M Cecilia et al. (2016) The Mitochondrial Unfoldase-Peptidase Complex ClpXP Controls Bioenergetics Stress and Metastasis. PLoS Biol 14:e1002507|
|Haut, Larissa H; Gill, Amanda L; Kurupati, Raj K et al. (2016) A Partial E3 Deletion in Replication-Defective Adenoviral Vectors Allows for Stable Expression of Potentially Toxic Transgene Products. Hum Gene Ther Methods :|
|Peck, Barrie; Schug, Zachary T; Zhang, Qifeng et al. (2016) Inhibition of fatty acid desaturation is detrimental to cancer cell survival in metabolically compromised environments. Cancer Metab 4:6|
|Chae, Young Chan; Vaira, Valentina; Caino, M Cecilia et al. (2016) Mitochondrial Akt Regulation of Hypoxic Tumor Reprogramming. Cancer Cell 30:257-72|
|Vazquez, Alexei; Kamphorst, Jurre J; Markert, Elke K et al. (2016) Cancer metabolism at a glance. J Cell Sci 129:3367-73|
|Kumar, Vinit; Patel, Sima; Tcyganov, Evgenii et al. (2016) The Nature of Myeloid-Derived Suppressor Cells in the Tumor Microenvironment. Trends Immunol 37:208-20|
|Kung, Che-Pei; Murphy, Maureen E (2016) The role of the p53 tumor suppressor in metabolism and diabetes. J Endocrinol 231:R61-R75|
|Patro, Sean C; Azzoni, Livio; Joseph, Jocelin et al. (2016) Antiretroviral therapy in HIV-1-infected individuals with CD4 count below 100 cells/mm3 results in differential recovery of monocyte activation. J Leukoc Biol 100:223-31|
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