The goal of the High Speed Cell Sorter (HSCS) Core is to provide outstanding cell sorting and analysis service for SCC members. Flow cytometry is an essential tool for basic and translational cancer research. The analytical and preparative platforms in this Core are used to quantify, characterize, and purify cellular populations of interest for in vitro and in vivo studies by Core users. The HSCS Core was established in 2001 and has experienced rapid growth in capacity and utilization over a short period of time.
The Aims of the HSCS Core are as follows:
Aim 1. To develop and maintain flexible platforms for multiparameter cell analysis. Four 5-color and one 8-color benchtop flow cytometric analyzers are available 24/7 for use by cancer center members. Three cell sorters operated by Core staff support more sophisticated analysis involving up to 20 parameters.
Aim 2. To develop and maintain flexible platforms for multiparameter cell sorting. Three cell sorters provide a highly customizable platform that can support high speed sorting on up to 10 simultaneous parameters. Workflow is separated within the Core into three distinct domains for sorting of cells from humans, model organisms, or from potentially biohazardous samples.
Aim 3. To provide additional services that enhance the academic mission of the SCC. The HSCS Core will promote the use of flow cytometry in cancer-related research by providing technical assistance in preparation of cells for sorting or analysis, training personnel on use of flow cytometry instrumentation, and assisting with data archiving, analysis, interpretation, grant writing, and manuscript preparation.
The High Speed Cell Sorter Core uses state-of-the-art instrumentation and highly trained personnel to assist scientists with cell measurements and manipulations that are essential for modern research in cancer biology.
|Engle, E K; Fisher, D A C; Miller, C A et al. (2015) Clonal evolution revealed by whole genome sequencing in a case of primary myelofibrosis transformed to secondary acute myeloid leukemia. Leukemia 29:869-76|
|Zihni, Ahmed M; Cavallo, Jaime A; Thompson Jr, Dominic M et al. (2015) Evaluation of absorbable mesh fixation devices at various deployment angles. Surg Endosc 29:1605-13|
|Rosenbaum, Joan L; Smith, Joan R; Yan, Yan et al. (2015) Impact of a Neonatal-Bereavement-Support DVD on Parental Grief: A Randomized Controlled Trial. Death Stud 39:191-200|
|Solga, Anne C; Pong, Winnie W; Walker, Jason et al. (2015) RNA-sequencing reveals oligodendrocyte and neuronal transcripts in microglia relevant to central nervous system disease. Glia 63:531-48|
|Yamada, Tomoko; Yang, Yue; Hemberg, Martin et al. (2014) Promoter decommissioning by the NuRD chromatin remodeling complex triggers synaptic connectivity in the mammalian brain. Neuron 83:122-34|
|Lewis Jr, James S; Ali, Sahirzeeshan; Luo, Jingqin et al. (2014) A quantitative histomorphometric classifier (QuHbIC) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinoma. Am J Surg Pathol 38:128-37|
|Griffey, Richard T; Jeffe, Donna B; Bailey, Thomas (2014) Emergency physicians' attitudes and preferences regarding computed tomography, radiation exposure, and imaging decision support. Acad Emerg Med 21:768-77|
|Jorns, Julie M; Thomas, Dafydd G; Healy, Patrick N et al. (2014) Estrogen receptor expression is high but is of lower intensity in tubular carcinoma than in well-differentiated invasive ductal carcinoma. Arch Pathol Lab Med 138:1507-13|
|Jeffe, Donna B; Andriole, Dorothy A; Wathington, Heather D et al. (2014) Educational outcomes for students enrolled in MD-PhD programs at medical school matriculation, 1995-2000: a national cohort study. Acad Med 89:84-93|
|Tait, Sarah; Pacheco, Jose M; Gao, Feng et al. (2014) Body mass index, diabetes, and triple-negative breast cancer prognosis. Breast Cancer Res Treat 146:189-97|
Showing the most recent 10 out of 514 publications