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Image based Spatial Transcriptomics to Identify Beta Cell Phenotypes in Type 1 Diabetes

Award Number: R03DK135457
ORGANIZATION: NATIONAL INSTITUTE OF DIABETES & DIGESTIVE & KIDNEY DISEASES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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Image based Spatial Transcriptomics to Identify Beta Cell Phenotypes in Type 1 Diabetes - Diabetes mellitus (DM) is a global health challenge that affects nearly 463 million people worldwide. Type 1 diabetes (T1D) accounts for 5-10% of all diabetes cases and is increasing at a rate of 2-6% annually. Recent research has challenged the dogma that all β cells are eventually destroyed in type 1 diabetes (T1D). Emerging data suggest that some cells in long- duration disease may be protected from autoimmunity owing to the acquisition of a ‘de- differentiated' phenotype that makes them less visible to the immune system. However, a consensus definition and the precise phenotype of a de-differentiated cell has yet to be established. Moreover, the heterogeneity of such a phenotype between single cells within and between islets and persons with T1D is not clear. Using single molecule Fluorescence In-situ Hybridization, our preliminary data has revealed significant heterogeneity of the spatial transcriptome in cells. This project will utilize the newly emerging tools such as computer vision and artificial intelligence, to deepen the exploration of the FISH images of human pancreatic tissues. We will develop computational tools and bioinformatics strategies to understand the spatial distribution of the transcriptome in T1D β cell phenotypes. (1) Develop computational tools to process, analyze, and quantify multiplexed transcriptomic images and proteomic images of pancreatic tissue from human organ donors. (2) Identify representative features of RNA expression in β cell phenotypes in long-duration T1D and during T1D evolution with bioinformatics strategies. Clarifying the molecular phenotype of persistent cells in long-duration disease could have important implications for T1D therapeutics, and it has the potential to inform the development of disease modifying interventions aimed at improving the function of these cells.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $0 )
2025	2024	PURDUE UNIVERSITY	2550 NORTHWESTERN AVE # 1100	WEST LAFAYETTE	IN	47906	TIPPECANOE	USA	Diabetes, Digestive, and Kidney Diseases Extramural Research	001	2	3/19/2025	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$140,071
2025	2023	TRUSTEES OF INDIANA UNIVERSITY	980 INDIANA AVE RM 2232	INDIANAPOLIS	IN	46202	MARION	USA	Diabetes, Digestive, and Kidney Diseases Extramural Research	000	1	3/19/2025	NEW	-$140,071
														Subtotal = $0

Issue Date FY: 2024 ( Subtotal = $150,627 )
2024	2024	PURDUE UNIVERSITY	2550 NORTHWESTERN AVE # 1100	WEST LAFAYETTE	IN	47906	TIPPECANOE	USA	Diabetes, Digestive, and Kidney Diseases Extramural Research	001	2	7/12/2024	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$150,627
2024	2023	TRUSTEES OF INDIANA UNIVERSITY	980 INDIANA AVE RM 2232	INDIANAPOLIS	IN	46202	MARION	USA	Diabetes, Digestive, and Kidney Diseases Extramural Research	000	1	7/11/2024	NEW	$0
														Subtotal = $150,627

Issue Date FY: 2023 ( Subtotal = $140,071 )
2023	2023	TRUSTEES OF INDIANA UNIVERSITY	980 INDIANA AVE RM 2232	INDIANAPOLIS	IN	46202	MARION	USA	Diabetes, Digestive, and Kidney Diseases Extramural Research	000	1	2/24/2023	NEW	$140,071
														Subtotal = $140,071

Grand Total All Awards = $290,698

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Image based Spatial Transcriptomics to Identify Beta Cell Phenotypes in Type 1 Diabetes

Award Number: R03DK135457

ORGANIZATION: NATIONAL INSTITUTE OF DIABETES & DIGESTIVE & KIDNEY DISEASES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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