Abstract

The Flow Cytometry Core at MSKCC provides researchers at MSKCC with state of the art flow cytometry services, including cell sorting. These services include operator-assisted flow cytometry analysis on a CyAn and a FACSCaliburflow cytometer, self-operated flow analysis on two 5-color (upgraded) FACScans and a FACSCalibur, and operator-assisted cell sorting on one 4-laser MoFlo, one 3-laser MoFlo, and one 3-laser DiVa cell sorter. Extensive training in flow cytometry is offered, and a site license for Flowjo is administered by the core facility. An additional cell purification option, Miltenyi AutoMACS, is made available to all users. The availability of these services enables the researchers at MSKCC to isolate and characterize specific cellular subsets, and to analyze the effects of manipulations aimed at answering a multitude of scientific questions that arise within the context of cancer research. The core facility's services play in important role in enabling the researchers to ask specific questions regarding ever smaller subsets of cells, down to the single cell level. Many of these questions can only be answered when purified fractions of specific cell subsets can be identified and isolated, which is the domain of flow analysis and cell sorting.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA008748-47
Application #
8375223
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
2013-12-31
Budget Start
2012-01-09
Budget End
2012-12-31
Support Year
47
Fiscal Year
2012
Total Cost
$190,645
Indirect Cost

  Institution

Name
Sloan-Kettering Institute for Cancer Research
Department
Type
DUNS #
064931884
City
New York
State
NY
Country
United States
Zip Code
10065

  Publications

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Mobley, David L; Bannan, Caitlin C; Rizzi, Andrea et al. (2018) Escaping Atom Types in Force Fields Using Direct Chemical Perception. J Chem Theory Comput 14:6076-6092
Latham, Alicia; Srinivasan, Preethi; Kemel, Yelena et al. (2018) Microsatellite Instability Is Associated With the Presence of Lynch Syndrome Pan-Cancer. J Clin Oncol :JCO1800283
Husain, Qasim; Gupta, Piyush; Tabar, Viviane et al. (2018) Random nasoseptal flap for revision skull base reconstruction. J Clin Neurosci :
Shojaeilangari, Seyedehsamaneh; Schmidtlein, C Ross; Rahmim, Arman et al. (2018) Recovery of missing data in partial geometry PET scanners: Compensation in projection space vs image space. Med Phys 45:5437-5449
Sayeed, Sadia; Xing, Deyin; Jenkins, Sarah M et al. (2018) Criteria for Risk Stratification of Vulvar and Vaginal Smooth Muscle Tumors: An Evaluation of 71 Cases Comparing Proposed Classification Systems. Am J Surg Pathol 42:84-94
Han, SoHyun; Stoyanova, Radka; Lee, Hansol et al. (2018) Automation of pattern recognition analysis of dynamic contrast-enhanced MRI data to characterize intratumoral vascular heterogeneity. Magn Reson Med 79:1736-1744
Cerfolio, Robert J; Ghanim, Asem F; Dylewski, Mark et al. (2018) The long-term survival of robotic lobectomy for non-small cell lung cancer: A multi-institutional study. J Thorac Cardiovasc Surg 155:778-786

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