Record #343414 - GSI Repository

T2D-EOMICS

High throughtput electrophysiological measurements coupled with transcriptomics to reveal cellular dysfunction in type 2 diabetes

Grant period	2023-04-01 - 2025-03-31
Funding body	European Union
Call number	HORIZON-MSCA-2022-PF-01
Grant number	101108327
Identifier	G:(EU-Grant)101108327

Note: In this project, I will develop methods to simultaneously measure transcriptomes with single-cell resolution and perform high-throughput functional measurements of individual pancreatic islet cells. I will focus on β- and α-cells which regulate glucose levels by secreting the two main glucoregulatory hormones -insulin and glucagon- and whose dysfunction is associated with diabetes. The islet is a highly heterogenous mini-organ, making it an ideal tissue to study the relationship between molecular and functional heterogeneity. It has been recently developed the use of patch-clamp electrophysiology and single-cell RNA sequencing (patch-seq) using whole-cell electrophysiology. In this work, I will combine high-density microelectrode array technology (HD-MEA) and transcriptomic methods to identify changes that lead to dysfunctional cellular states in type 2 diabetes. To do so, I will build a cell cherry-picking system to perform single-cell RNA sequencing after electrophysiological measurements in the same islet cell. Then I will use this system to investigate subpopulations of α- and β-cells that have been previously identified in human islets from donors with type 2 diabetes using transcriptomic methods, but whose implications in cell and tissue function are yet unclear.

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Record created 2023-08-27, last modified 2023-08-27

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