GSE101207 High-throughput single cell transcriptome analysis and CRISPR screen identify key β cell-specific disease genes

Contributors : Chen Weng ; Fulai Jin ; Leina LuSeries Type : Expression profiling by high throughput sequencing ; Genome binding/occupancy profiling by high throughput sequencingOrganism : Homo sapiens ; Mus musculusPancreatic endocrine cells orchestrate the precise control of blood glucose levels, but the contribution of each cell type to diabetes or obesity remains elusive. Here we used a massively parallel single-cell RNA-seq technology (Drop-Seq) to analyze the transcriptome of 26,677 pancreatic islets cells from both healthy and type II diabetic (T2D) donors. We have analyzed cell type-specific gene signatures, and detected several rare α or β cell subpopulations with high sensitivity. We also developed RePACT, a sensitive single cell analysis algorithm to identify genes associated with rare disease causing cells, or to capture the subtle disease-relevant cellular variation. We successfully identified both common and specific sig nature genes of obesity and T2D with only a small number of islet samples. We also performed an unbiased genome-wide CRISPR screen and mapped these Drop-Seq signature genes to the core insulin regulatory network in β cells. Notably, our integrative analysis discovered a β cell-specific function of the cohesin loading complex in regulating insulin gene transcription, and a previously unrecognized role of the NuA4/Tip60 histone acetyltransferase complex in regulating insulin release. These data demonstrated that single-cell trancriptomics ...
Source: GEO: Gene Expression Omnibus - Category: Genetics & Stem Cells Tags: Expression profiling by high throughput sequencing Genome binding/occupancy profiling by high throughput sequencing Homo sapiens Mus musculus Source Type: research