The Flow Cytometry/Optical Morphology Shared Resource of the Mayo Clinic Cancer Center (MCCC) provides instrumentation, expertise, and training related to these two areas. Flow cytometry is used for highspeed analysis and sorting of cells in liquid suspension. Optical morphology refers to techniques associated with light microscopy and image analysis. The flow cytometry area houses instruments of varying capabilities from a single laser bench-top analytical system to a five-laser, four-way cell sorter. Investigators, students, and technicians have the option of dropping off prepared samples to be run by resource personnel or to be trained to operate any of the five analytical flow cytometers. Resource personnel perform cell sorting. The optical morphology area houses a variety of light microscopy based instruments including laser scanning confocal microscopes and other upright and inverted light microscopes equipped with specialized components for optical sectioning, microinjection, ratiometric imaging, and total internal reflection fluorescence (TIRF). Training is provided for all of these microscopy techniques. Image analysis software including customized macro programming along with appropriate training is also available. Resource personnel are available to assist with training, troubleshooting, maintenance, data interpretation, and experimental design.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA015083-35
Application #
7945044
Study Section
Subcommittee G - Education (NCI)
Project Start
2009-04-17
Project End
2014-02-28
Budget Start
2009-04-17
Budget End
2010-02-28
Support Year
35
Fiscal Year
2009
Total Cost
$129,389
Indirect Cost
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
DuBois, Steven G; Mosse, Yael P; Fox, Elizabeth et al. (2018) Phase II Trial of Alisertib in Combination with Irinotecan and Temozolomide for Patients with Relapsed or Refractory Neuroblastoma. Clin Cancer Res 24:6142-6149
Farber, Benjamin A; Lalazar, Gadi; Simon, Elana P et al. (2018) Non coding RNA analysis in fibrolamellar hepatocellular carcinoma. Oncotarget 9:10211-10227
Lu, Yingchang; Beeghly-Fadiel, Alicia; Wu, Lang et al. (2018) A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk. Cancer Res 78:5419-5430
Dasari, Surendra; Newsom, Sean A; Ehrlicher, Sarah E et al. (2018) Remodeling of skeletal muscle mitochondrial proteome with high-fat diet involves greater changes to ?-oxidation than electron transfer proteins in mice. Am J Physiol Endocrinol Metab 315:E425-E434
Nowsheen, Somaira; Aziz, Khaled; Aziz, Asef et al. (2018) L3MBTL2 orchestrates ubiquitin signalling by dictating the sequential recruitment of RNF8 and RNF168 after DNA damage. Nat Cell Biol 20:455-464
Razidlo, Gina L; Burton, Kevin M; McNiven, Mark A (2018) Interleukin-6 promotes pancreatic cancer cell migration by rapidly activating the small GTPase CDC42. J Biol Chem 293:11143-11153
Wu, Dongyan; Yang, Haitao; Winham, Stacey J et al. (2018) Mediation analysis of alcohol consumption, DNA methylation, and epithelial ovarian cancer. J Hum Genet 63:339-348
Leon-Ferre, Roberto A; Polley, Mei-Yin; Liu, Heshan et al. (2018) Impact of histopathology, tumor-infiltrating lymphocytes, and adjuvant chemotherapy on prognosis of triple-negative breast cancer. Breast Cancer Res Treat 167:89-99
Jahanseir, Khadijeh; Xing, Deyin; Greipp, Patricia T et al. (2018) PDGFB Rearrangements in Dermatofibrosarcoma Protuberans of the Vulva: A Study of 11 Cases Including Myxoid and Fibrosarcomatous Variants. Int J Gynecol Pathol 37:537-546
Painter, Jodie N; O'Mara, Tracy A; Morris, Andrew P et al. (2018) Genetic overlap between endometriosis and endometrial cancer: evidence from cross-disease genetic correlation and GWAS meta-analyses. Cancer Med 7:1978-1987

Showing the most recent 10 out of 1129 publications