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. 2023 Sep 9;14:5554. doi: 10.1038/s41467-023-41306-6

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — a Two-dimensional embedding and unsupervised clustering of endocrine profiles from Control pancreatic islets revealed six cell clusters, identified by markers shown in a cropped and transformed UMAP plots: β cells (Ins1, Ins2), α cells (glucagon, Gcg), PP cells (pancreatic polypeptide, Ppy), polyhormonal cells (expressing Ins1, Ins2, Gcg, Sst, or/and Ppy), immature/transitioning β cell cluster (Ins1, Ins2), and δ cells (Sst). The detected clusters are indicated by different colors. In Neurod1CKO, endocrine profiles revealed the same six cell clusters with one additional cluster representing a molecularly different β-cell subpopulation. b Cellular composition per sample. c UMAP plot showing the distribution of endocrine cells from the Control and Neurod1CKO. d Heatmaps of differentially expressed genes between Control and Neurod1CKO in α and β cells (cut off: P_adj < 0.05, log2FC = 0.6).