CORE 5 - GENOME EDITING CORE: ABSTRACT Investigating mechanisms that underlie diabetes and its complications requires relevant experimental models. In recent years, induced pluripotent stem (iPS) cells have provided a unique means to study disease-relevant molecular pathways in patient-specific cells. The development of genome editing tools such as the CRISPR- Cas9 system has made it possible to accurately engineer cells and further refine disease modeling using iPS cells. Studies of iPS-derived cells are invaluable to the modeling of human cellular defects. However, cell- based experiments do not adequately reflect systemic changes associated with diabetes. Animal models are equally important and necessary to complement in vitro experimentation. Genome editing techniques have also made it possible to very quickly and efficiently generate new diabetes-relevant mouse models to interrogate mechanisms of disease. The Genome Editing Core (GEC) will provide a platform for investigators to create novel and unique human cellular models and mouse models to study diabetes and its complications. The GEC will use state-of-the-art methodology to 1) generate patient-specific iPS cell lines, 2) edit the genome of iPS and iPS-derived cells to probe individual genes or gene variants and 3) generate custom mouse models by gene knockdown, knock-in, knock-out or replacement. In addition to providing these services, the GEC will offer advice, reagents and tools for genome editing of experimental models and offer training for the generation and manipulation of iPS cell lines. In collaboration with the newly proposed Clinical Translational Research Core, the GEC will also serve as a repository for a large collection of unique iPS cell lines derived from type 1 diabetes, type 2 diabetes and MODY patients sourced from Joslin's extensive patient population. In sum, the GEC will constitute an invaluable resource for all aspects of diabetes research by facilitating the custom generation of relevant model systems.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK036836-34
Application #
9921399
Study Section
Special Emphasis Panel (ZDK1)
Project Start
Project End
Budget Start
2020-04-01
Budget End
2021-03-31
Support Year
34
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Joslin Diabetes Center
Department
Type
DUNS #
071723084
City
Boston
State
MA
Country
United States
Zip Code
02215
Mulla, Christopher M; Middelbeek, Roeland J W; Patti, Mary-Elizabeth (2018) Mechanisms of weight loss and improved metabolism following bariatric surgery. Ann N Y Acad Sci 1411:53-64
Skupien, Jan; Smiles, Adam M; Valo, Erkka et al. (2018) Variations in Risk of End-Stage Renal Disease and Risk of Mortality in an International Study of Patients With Type 1 Diabetes and Advanced Nephropathy. Diabetes Care :
Laffel, L (2018) Lost in transition: finding a path forward for young adults with Type 1 diabetes. Diabet Med 35:1061-1062
Rao, Tata Nageswara; Gupta, Manoj K; Softic, Samir et al. (2018) Attenuation of PKC? enhances metabolic activity and promotes expansion of blood progenitors. EMBO J 37:
Bauman, Viviana; Sturkey, Adaya C; Sherafat-Kazemzadeh, Rosa et al. (2018) Factitious hypoglycemia in children and adolescents with diabetes. Pediatr Diabetes 19:823-831
Stanford, Kristin I; Rasmussen, Morten; Baer, Lisa A et al. (2018) Paternal Exercise Improves Glucose Metabolism in Adult Offspring. Diabetes 67:2530-2540
Park, Kyoungmin; Li, Qian; Evcimen, Net Da? et al. (2018) Exogenous Insulin Infusion Can Decrease Atherosclerosis in Diabetic Rodents by Improving Lipids, Inflammation, and Endothelial Function. Arterioscler Thromb Vasc Biol 38:92-101
Lynes, Matthew D; Shamsi, Farnaz; Sustarsic, Elahu Gosney et al. (2018) Cold-Activated Lipid Dynamics in Adipose Tissue Highlights a Role for Cardiolipin in Thermogenic Metabolism. Cell Rep 24:781-790
Schuster, Cornelia; Jonas, Franziska; Zhao, Fangzhu et al. (2018) Peripherally induced regulatory T cells contribute to the control of autoimmune diabetes in the NOD mouse model. Eur J Immunol 48:1211-1216
Laguna Sanz, Alejandro J; Mulla, Christopher M; Fowler, Kristen M et al. (2018) Design and Clinical Evaluation of a Novel Low-Glucose Prediction Algorithm with Mini-Dose Stable Glucagon Delivery in Post-Bariatric Hypoglycemia. Diabetes Technol Ther 20:127-139

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