Pancreas single cell patch-seq links physiologic dysfunction in diabetes to transcriptomic phenotypes

Combined single-cell RNAseq and electrophysiological profiling of human pancreatic islet cells (pancreas patch-seq) to link transcriptomic phenotypes of islet cells to their physiologic properties. Overall design: The dataset contains 1,369 pancreas patch-seq cells from human donors (nondiabetic and type II diabetes), 348 cryopreserved patch-seq cells (nondiabetic and type I diabetes) and 3,518 FACS islet cells from the same donors. In total cells from 18 nondiabetic , 7 T2D donors, 3 T1D (cryopreserved) and 3 nondiabetic donors (cryopreserved) were used. Single-cell RNA libraries are done using SmartSeq2.