Genome-wide transcriptome analysis using RNA-Seq confirms high purity of sorted cell populations and reveals cell-type–specific gene expression.
(A) Principal component analysis displays distinct cell populations and clustering of replicates (n = 3 α, n = 3 β, n = 2 exocrine), which confirms the high purity of our sorted cell populations (dots, replicates; crosses, averages). (B) Heat map analysis shows groups of genes with distinct expression patterns across cell types (columns: cell types, rows: genes). The orange, blue, and yellow bars on the left side of the heat map indicate α, β, and exocrine cell–specific gene clusters, respectively. The darker portion of these bars indicates stronger cell-type specificity of the gene cluster. We highlight important genes, including genes found to be associated with diabetes in genome-wide association studies (marked with asterisks). The complete gene lists of α, β, and exocrine cell–specific genes are provided in Supplemental Table 2.