five

human islet single-cell

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/14656365
下载链接
链接失效反馈
官方服务:
资源简介:
Human pancreatic islets, which maintain glucose homeostasis via coordinate action of their constituent endocrine and affiliate cell types, are central to both type 2 diabetes (T2D) genetics and pathophysiology. Knowledge of islet cell type-specific alterations in T2D is lacking due to small sample numbers or limited single cell transcriptomes profiled per sample for comparison. Here, we present a comprehensive single cell transcriptome atlas of 245,878 human islet cells from a distinct 48-donor cohort spanning non-diabetic (ND), pre-diabetic, and T2D states. Unsupervised clustering of donor transcriptomes classified 14 cell types and indicated a 13% reduction in b-cells in T2D vs. ND islets, accompanied by reciprocal 10.5% declines in ‘insulin-secreting’ and 12.3% increases in ‘senescent’ b-cell subpopulations. Pseudo-bulk analyses across glycemic states revealed negligible gene expression changes in most cell types, except for b-cells. We identified 511 differentially expressed genes (DEGs) in T2D b-cells, 66.5% of which are novel and implicated in neurotransmission. Overlap with reported islet eQTLs identified 29 DEGs with aligned T2D genetic risk and subsequent gene expression programming in b-cells, meriting high-priority for therapeutic interventions. Additionally, we found 20 DEGs with divergent effects of T2D predisposition on gene expression among whole islets and b-cells. The generated transcriptomic data is provided as a free resource for islet biology research. Overall, our study develops a thorough understanding of T2D-regulated islet structural and functional integrity and, uncovers T2D effector genes with reinforced genetic and molecular impacts.
创建时间:
2025-01-15
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作