Abstract

The Flow Cytometry/Fluorescence Imaging Shared Resource provides NCCC investigators with advanced instrumentation for the study of cells. To this end, it aims to provide state-of-the-art flow cytometers and image analysis systems for acquisition of data; to provide computer hardware and software for the analysis of cellular data derived from these instruments; to train scientists in use of the instruments and software; to develop and implement new techniques for cell analysis; and to encourage communication among scientists on methods of common interest. For flow cytometry, the Shared Resource has four Becton Dickinson instruments. A FACStar Plus VIS/UV six-parameter cytometer with TurboSort upgrade is used for sorting and advanced applications. Two FACScan five-parameter cytometers and one FACSCalibur six-parameter cytometer are benchtop cytometers that are used for applications including immunophenotyping, cell cycle analysis, phagocytosis assays, and precursor frequency analysis of proliferating cells. The Resource also has three image analysis systems: a Bio-Rad MRC 1024 laser confocal system, a CompuCyte laser scanning cytometer, and a Zeiss Axiophot photomicroscope with a cooled CCD detector. Funding has just been received from the NIH Shared Instrumentation Grant for the purchase of a new confocal system. There is, within the Shared Resource, a wet lab for cell preparation and a computing area for analysis of flow and imaging data.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA023108-30
Application #
7586070
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2007-12-01
Budget End
2008-11-30
Support Year
30
Fiscal Year
2008
Total Cost
$257,161
Indirect Cost

  Institution

Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755

  Publications

Shee, Kevin; Jiang, Amanda; Varn, Frederick S et al. (2018) Cytokine sensitivity screening highlights BMP4 pathway signaling as a therapeutic opportunity in ER+ breast cancer. FASEB J :fj201801241R
Rodriguez-Garcia, Marta; Fortier, Jared M; Barr, Fiona D et al. (2018) Aging impacts CD103+ CD8+ T cell presence and induction by dendritic cells in the genital tract. Aging Cell 17:e12733
Shajani-Yi, Zahra; de Abreu, Francine B; Peterson, Jason D et al. (2018) Frequency of Somatic TP53 Mutations in Combination with Known Pathogenic Mutations in Colon Adenocarcinoma, Non-Small Cell Lung Carcinoma, and Gliomas as Identified by Next-Generation Sequencing. Neoplasia 20:256-262
Szczepiorkowski, Zbigniew M; Burnett, Christine A; Dumont, Larry J et al. (2018) Apheresis buffy coat collection without photoactivation has no effect on apoptosis, cell proliferation, and total viability of mononuclear cells collected using photopheresis systems. Transfusion 58:943-950
Bossé, Yohan; Amos, Christopher I (2018) A Decade of GWAS Results in Lung Cancer. Cancer Epidemiol Biomarkers Prev 27:363-379
Pande, Mala; Joon, Aron; Brewster, Abenaa M et al. (2018) Genetic susceptibility markers for a breast-colorectal cancer phenotype: Exploratory results from genome-wide association studies. PLoS One 13:e0196245
Smith, T Jarrod; Sondermann, Holger; O'Toole, George A (2018) Co-opting the Lap System of Pseudomonas fluorescens To Reversibly Customize Bacterial Cell Surfaces. ACS Synth Biol 7:2612-2617
Gorlova, Olga Y; Li, Yafang; Gorlov, Ivan et al. (2018) Gene-level association analysis of systemic sclerosis: A comparison of African-Americans and White populations. PLoS One 13:e0189498
Schmit, Stephanie L; Edlund, Christopher K; Schumacher, Fredrick R et al. (2018) Novel Common Genetic Susceptibility Loci for Colorectal Cancer. J Natl Cancer Inst :
Cai, Yunliang; Wu, Shaoju; Zhao, Wei et al. (2018) Concussion classification via deep learning using whole-brain white matter fiber strains. PLoS One 13:e0197992

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