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T2D-EOMICS

Financiado

High throughtput electrophysiological measurements coupled with transcriptomics...

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

31/03/2025

UGOT - GOETEBORGS...

207K€

Presupuesto del proyecto: 207K€

Líder del proyecto

GOETEBORGS UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

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Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-03-08

HORIZON-MSCA-2022-PF-01-01: MSCA Postdoctoral Fellowships 2022 ExpectedOutcome:

I+D

Cerrada hace 2 años

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3 Participantes

UGOT - GOETEBORGS UNIVERSITE...

206.89K€ | Lider

Chan Zuckerberg Biohub SF LL...

N.D. | Participante

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Duración del proyecto: 24 meses Fecha Inicio: 2023-03-08
Fecha Fin: 2025-03-31

Líder del proyecto

GOETEBORGS UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 207K€

Descripción del proyecto 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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