文章基本信息

标题：Single-cell RNA-seq transcriptomic landscape of human and mouse islets and pathological alterations of diabetes
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作者：Kai Chen ; Junqing Zhang ; Youyuan Huang 等
期刊名称：iScience
印刷版ISSN：2589-0042
出版年度：2022
卷号：25
期号：11
页码：1-25
DOI：10.1016/j.isci.2022.105366
语种：English
出版社：Elsevier
摘要：SummarySingle-cell RNA sequencing has paved the way for delineating the pancreatic islet cell atlas and identifying hallmarks of diabetes. However, pathological alterations of type 2 diabetes (T2D) remain unclear. We isolated pancreatic islets from control and T2D mice for single-cell RNA sequencing (scRNA-seq) and retrieved multiple datasets from the open databases. The complete islet cell landscape and robust marker genes and transcription factors of each endocrine cell type were identified. GLRA1 was restricted to beta cells, and beta cells exhibited obvious heterogeneity. The beta subcluster in the T2D mice remarkably decreased the expression of Slc2a2, G6pc2, Mafa, Nkx6-1, Pdx1, and Ucn3 and had higher unfolded protein response (UPR) scores than in the control mice. Moreover, we developed a Web-based interactive tool, creating new opportunities for the data mining of pancreatic islet scRNA-seq datasets. In conclusion, our work provides a valuable resource for a deeper understanding of the pathological mechanism underlying diabetes.Graphical abstractDisplay OmittedHighlights•Cross-species scRNA-seq reveals the complete cell landscape of the islets of Langerhans•We identify the robust marker genes and TFs of each endocrine and exocrine cell type•Pathological alterations of beta cells in type 2 diabetes are explored•A Web-based interactive tool is established for pancreatic islet scRNA-seq datasetsBiological sciences; Endocrinology; Diabetology; Transcriptomics.