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. 2024 Apr 26;5(5):101535. doi: 10.1016/j.xcrm.2024.101535

Figure 1.

Figure 1

scRNA-seq reveals the cell populations of the human pancreatic islets in CTL, AAb+, and T1D donors

(A) The complete workflow depicting the scRNA-seq and machine learning workflow using human pancreatic islet tissue samples.

(B) Pie chart showing the number of cells and donor distribution across different biological conditions.

(C) Uniform manifold approximation and projection (UMAP) plot showing the scSorter cell classification of islet cells.

(D) Stacked bar chart showing the percentage-wise distribution of cell types across AAb+, control, and T1D donors.

(E) Multiple feature plots UMAPs depicting the validation of cell-type-specific expression of marker genes. Acinar cells (PRSS1 high), alpha cells (GCG high), beta cells (INS high), delta cells (SST high), ductal cells (KRT19 high), endothelial cells (VWF high), epsilon cells (GHRL high), immune (NCF2 high), PP cells (PPY high), and stellate cells (COL1A1 high).