1711-P: Pancreas Single-Cell Patch-Seq Links Physiologic Dysfunction in Diabetes to Transcriptomic Phenotypes

Abstract

Pancreatic islet-cells regulate glucose levels in the body through insulin and glucagon secretion; dysfunction of these cells leads to severe disease such as diabetes. Several single-cell transcriptome studies have shown heterogeneous gene expression in major islet cell-types such as beta and alpha cells. However, it has remained an open challenge to reconcile the heterogeneity in transcriptomic signatures with physiological observations of functional heterogeneity. Here we combined electrophysiological profiling and single-cell RNA sequencing of the same cells (pancreas patch-seq) to link transcriptomic phenotypes of islet cells to their physiologic properties. We collected 1,369 pancreas patch-seq cells from fresh and cryopreserved tissue and assessed function-gene expression networks in nondiabetic, type 1 diabetic (T1D) and type 2 diabetic (T2D) humans. We discovered that ‘hub’ genes and pathways drive functional heterogeneity in nondiabetic beta-cells and show that specific transcriptional programs correlate with physiologic dysfunction early in T2D. We have also found evidence that alpha-cell transcriptional plasticity acts as a driver of dysfunction in T1D. Disclosure J. Camunas Soler: None. X. Dai: None. Y. Hang: None. S. Kim: None. P. MacDonald: None. Funding Chan Zuckerberg Biohub; California Institute for Regenerative Medicine; National Institutes of Health