CELLULAR IMAGING SHARED RESOURCE (CISR) The Cellular Imaging Shared Resource (CISR) provides support with a broad range of advanced imaging and quantitative image analysis technologies for probing the structure and function of cells and model organisms from the molecular to the cellular level. Supported applications include scanning and transmission electron microscopy, electron microscopy (EM) sample preparation, transmitted light and fluorescence microscopy modalities (including confocal, deconvolution, total internal reflection fluorescence microscopy (TIRF), super- resolution, time-lapse, whole slide scanning, and high-content screening), and live image-based cellular assays recently implemented to support the growing Cancer Immunology Research Program. Additional services include quantitative gel and blot analysis as well as karyotyping. CISR is under the leadership of Dr. Julio Vazquez who is assisted by two staff members (1.65 FTE) and one external consultant. For the period 2015-2018, CISR provided services to more than 500 individual users from approximately 150 research groups representing all of the Consortium?s Research Programs. In FY 2018 alone, CISR supported over 200 research grants. CISR has introduced many new technologies to the Consortium, supports and accelerates cancer research by providing leading edge instrumentation and expertise, training users new to each technique, and working closely with researchers in all supported technologies. While many labs have their own instruments for routine work, many advanced technologies are only available in the CISR. 1

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA015704-45
Application #
9853647
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2020-01-01
Budget End
2020-12-31
Support Year
45
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109
Buckley, Sarah A; Percival, Mary-Elizabeth; Othus, Megan et al. (2018) A comparison of patients with acute myeloid leukemia and high-risk myelodysplastic syndrome treated on versus off study. Leuk Lymphoma :1-7
Montgomery, Elizabeth T; Noguchi, Lisa M; Dai, James Y et al. (2018) Acceptability of and Adherence to an Antiretroviral-Based Vaginal Microbicide among Pregnant Women in the United States. AIDS Behav 22:402-411
Talarico, Sarah; Leverich, Christina K; Wei, Bing et al. (2018) Increased H. pylori stool shedding and EPIYA-D cagA alleles are associated with gastric cancer in an East Asian hospital. PLoS One 13:e0202925
RaƱola, John Michael O; Liu, Quanhui; Rosenthal, Elisabeth A et al. (2018) A comparison of cosegregation analysis methods for the clinical setting. Fam Cancer 17:295-302
Greenbaum, Adam M; Green, Damian J; Holmberg, Leona A et al. (2018) Bendamustine, etoposide, and dexamethasone to mobilize peripheral blood hematopoietic stem cells for autologous transplantation in non-Hodgkin lymphoma. Blood Res 53:223-226
Zhao, Shanshan; Leonardson, Amy; Geybels, Milan S et al. (2018) A five-CpG DNA methylation score to predict metastatic-lethal outcomes in men treated with radical prostatectomy for localized prostate cancer. Prostate :
Giraldo, Nicolas A; Nguyen, Peter; Engle, Elizabeth L et al. (2018) Multidimensional, quantitative assessment of PD-1/PD-L1 expression in patients with Merkel cell carcinoma and association with response to pembrolizumab. J Immunother Cancer 6:99
DeWitt 3rd, William S; Smith, Anajane; Schoch, Gary et al. (2018) Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity. Elife 7:
Herman, Daniel S; Smith, Christina; Liu, Chang et al. (2018) Efficient Detection of Copy Number Mutations in PMS2 Exons with a Close Homolog. J Mol Diagn 20:512-521
Birnbaum, Jeanette K; Duggan, Catherine; Anderson, Benjamin O et al. (2018) Early detection and treatment strategies for breast cancer in low-income and upper middle-income countries: a modelling study. Lancet Glob Health 6:e885-e893

Showing the most recent 10 out of 1267 publications