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. 2020 Apr 2;37:100982. doi: 10.1016/j.molmet.2020.100982

Figure 4.

Figure 4

Transcriptomic profile of non-β endocrine cells in the STZ model.A and B: PCA (A) and UMAP (B) of α-, δ-, and PP-cells from the Ngn3-Cre; Rosa-RFP pancreas. Each dot represents a single cell sample. The colors denote the treatment condition. C: Hierarchical clustering of highly variable genes on the α-, δ-, PP-, and β-cells. Each column represents a single cell sample, and each row represents one gene. D: Silhouette analyses of the hierarchical clustering of the α-, δ, PP-, and β-cells in (C). A relatively higher average silhouette width indicates an unambiguous clustering result. If a peak of the average silhouette width on N clusters is observed, the cells are expected to be clustered into N subpopulations. In contrast, if no distinct peak of the average silhouette width is observed, the cells are expected to be homogeneous. E-G: Three dimensions (3D) PCA (E), UMAP (F), and FDL (G) of the endocrine cells from the Ngn3-Cre; Rosa-RFP pancreas. Each dot represents a single cell. The colors denote cell type and treatment condition. Expression levels of Ins1, Ins2, Gcg, Sst, Ppy, and Glut2 are shown on the right.