The Automated Cytometry and Cell Sorter Laboratory/Confocal Microscopy and Image Analysis Facility provides cellular analysis to investigators with peer-reviewed grants at M.D. Anderson Cancer Center. The facility develops and provides cutting-edge techniques in single-cell analysis. Cell phenotyping, proliferation, and apoptosis assays have been established and modified as needed for multi-parameter analysis. Immunophenotypic analysis was combined with assays of intracellular proteins related to apoptosis (bcl-2, BAG-1, Bcl-Xl, p53, Rb, and fas), proliferation and membrane lipid asymmetry. Quantitation of cellular antigens allow determination of antibody binding capacity per cell. Very rare events and progenitor cell subpopulations have been detected and isolated by three-laser excitation/eight-parameter fluorescence-activated cell sorting (FACS) for subsequent analysis by molecular cytogenetics and other molecular techniques. Acquisition of a high-speed cell sorter and a laser-scanning microscope will provide state-of-the-art isolation and analysis. Laser confocal microscopy has been used extensively, and so the acquisition of a second instrument is necessary. By using a charge coupled-device (CCD)- based image analysis system, a method for image capture in perfect registration was developed and has been used extensively for molecular cytogenetics fluorescence in situ hybridization (FISH) and comparative genomic hybridization (CGH). FISH has also been combined with the apoptosis assay to detect apoptosis in normal and leukemic cells. The number, phenotype, and proliferation of minimal residual disease cells with abnormalities amenable to FISH analysis can be determined at levels of as few as one malignant cell in 30,000 normal cells. Methods to detect transgene expression in cells have been established using beta- galactosidase (beta-gal), nerve growth factor receptor (NGF-R), and green fluorescent protein. The Facility has served 26 investigators with peer- reviewed grants who used the laser confocal microscope for 1,797 and the FACS facility for 1,970 hours last year, a 33% increase over the last 2 years. The Core has continuously developed new methodology to suit the evolving needs of its users.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA016672-25
Application #
6334916
Study Section
Project Start
2000-07-18
Project End
2001-06-30
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
25
Fiscal Year
2000
Total Cost
$332,337
Indirect Cost
Name
University of Texas MD Anderson Cancer Center
Department
Type
DUNS #
001910777
City
Houston
State
TX
Country
United States
Zip Code
77030
Yin, Guosheng; Chen, Nan; Lee, J Jack (2018) Bayesian Adaptive Randomization and Trial Monitoring with Predictive Probability for Time-to-event Endpoint. Stat Biosci 10:420-438
Nong, Jingying; Gong, Yuhua; Guan, Yanfang et al. (2018) Circulating tumor DNA analysis depicts subclonal architecture and genomic evolution of small cell lung cancer. Nat Commun 9:3114
Brown, Justin C; Rickels, Michael R; Troxel, Andrea B et al. (2018) Dose-response effects of exercise on insulin among colon cancer survivors. Endocr Relat Cancer 25:11-19
Vakil, Erik; Jimenez, Carlos A; Faiz, Saadia A (2018) Pleural effusions in hematologic malignancies and their management with indwelling pleural catheters. Curr Opin Pulm Med 24:384-391
Yedururi, Sireesha; Chawla, Sumedha; Amini, Behrang et al. (2018) Tumor thrombus in the large veins draining primary pelvic osteosarcoma on cross sectional imaging. Eur J Radiol 105:49-55
Farinholt, Paige; Park, Minjeong; Guo, Ying et al. (2018) A Comparison of the Accuracy of Clinician Prediction of Survival Versus the Palliative Prognostic Index. J Pain Symptom Manage 55:792-797
Oh, Sang Cheul; Sohn, Bo Hwa; Cheong, Jae-Ho et al. (2018) Clinical and genomic landscape of gastric cancer with a mesenchymal phenotype. Nat Commun 9:1777
Yang, Yi; Li, Chia-Wei; Chan, Li-Chuan et al. (2018) Exosomal PD-L1 harbors active defense function to suppress T cell killing of breast cancer cells and promote tumor growth. Cell Res 28:862-864
Hui, David; Hess, Kenneth; Dibaj, Seyedeh S et al. (2018) The minimal clinically important difference of the Richmond Agitation-Sedation Scale in patients with cancer with agitated delirium. Cancer 124:2246-2252
LeBleu, Valerie S; Kalluri, Raghu (2018) A peek into cancer-associated fibroblasts: origins, functions and translational impact. Dis Model Mech 11:

Showing the most recent 10 out of 12418 publications