Flow cytometry is an essential method in cancer research. It is widely used to identify, track and purify specific cell populations through analysis of cell surface markers and/or fluorescent reporter genes, and also to assess cellular phenotypes, such as cell cycle progression, DNA damage or apoptosis responses. Flow cytometry also supports a broad range of engineering-based approaches, such as quantification of targeting efficiencies for antibody- and copolymer-based therapeutic delivery systems, and high-throughput approaches to develop fluorophore-based protein labeling and imaging technology. The Koch Institute Flow Cytometry Core is a Shared Resource that provides Center Members with training in, and access to, state-of-the-art cell sorting instrumentation, technical expertise and training, and data analyses. In the current period, the capabilities of this Core were further expanded and enhanced. Two new analyzers and two new sorters were acquired, replacing older obsolete instrumentation, and three systems were upgraded with new lasers to expand detection capabilities. Core service usage by Center Member has remained high (93% of Center Members). In addition, using CCSG Developmental Funds, the Core has supported a Research Specialist who has established a suite of single cell-associated technologies, including a collaboration with the Koch Institute Integrated Genomics & Bioinformatics Core to enable high throughput single cell mRNA sequencing. These services are now well-developed services within the Core, and we seek continued, partial funding to support the Research Specialist?s efforts. In the upcoming period, the Flow Cytometry Core will continue to offer a wide range of state-of-the-art services to support the research programs of Center Members and will evaluate emerging capabilities in the context of Center Member needs and interests. The Core intends to evaluate high parameter cell sorting, addition of robotics capabilities for automated sampling, mass cytometry, and multiplexed ion beam imaging. The Core will also expand training opportunities, including hands-on data analysis workshops. This Shared Resource is essential to the success of the Koch Institute mission and provides exceptional value to the CCSG because Koch Institute Members account for 84% of the Core services usage. The requested CCSG budget for Year 49 is increased by 9.2% over the budget in the current period (Year 48), reflecting the request for additional funding to stabilize support for the new single cell analysis capabilities.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA014051-49
Application #
9937091
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2020-05-01
Budget End
2021-04-30
Support Year
49
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Type
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02142
Clancy-Thompson, Eleanor; Devlin, Christine A; Tyler, Paul M et al. (2018) Altered Binding of Tumor Antigenic Peptides to MHC Class I Affects CD8+ T Cell-Effector Responses. Cancer Immunol Res 6:1524-1536
Fiedler, Eleanor R C; Bhutkar, Arjun; Lawler, Emily et al. (2018) In vivo RNAi screening identifies Pafah1b3 as a target for combination therapy with TKIs in BCR-ABL1 + BCP-ALL. Blood Adv 2:1229-1242
Sullivan, Lucas B; Luengo, Alba; Danai, Laura V et al. (2018) Aspartate is an endogenous metabolic limitation for tumour growth. Nat Cell Biol 20:782-788
Miller, Eric A; Baniya, Subha; Osorio, Daniel et al. (2018) Paper-based diagnostics in the antigen-depletion regime: High-density immobilization of rcSso7d-cellulose-binding domain fusion proteins for efficient target capture. Biosens Bioelectron 102:456-463
Lannagan, Tamsin R M; Lee, Young K; Wang, Tongtong et al. (2018) Genetic editing of colonic organoids provides a molecularly distinct and orthotopic preclinical model of serrated carcinogenesis. Gut :
Filbin, Mariella G; Tirosh, Itay; Hovestadt, Volker et al. (2018) Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq. Science 360:331-335
Roper, Jatin; Tammela, Tuomas; Akkad, Adam et al. (2018) Colonoscopy-based colorectal cancer modeling in mice with CRISPR-Cas9 genome editing and organoid transplantation. Nat Protoc 13:217-234
Suzuki, Hiroshi I; Spengler, Ryan M; Grigelioniene, Giedre et al. (2018) Deconvolution of seed and RNA-binding protein crosstalk in RNAi-based functional genomics. Nat Genet 50:657-661
McKenney, Anna Sophia; Lau, Allison N; Somasundara, Amritha Varshini Hanasoge et al. (2018) JAK2/IDH-mutant-driven myeloproliferative neoplasm is sensitive to combined targeted inhibition. J Clin Invest 128:789-804
Richardson, Christopher E R; Cunden, Lisa S; Butty, Vincent L et al. (2018) A Method for Selective Depletion of Zn(II) Ions from Complex Biological Media and Evaluation of Cellular Consequences of Zn(II) Deficiency. J Am Chem Soc 140:2413-2416

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