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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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human islet single-cell

Authors: Jackson Laboratory;

human islet single-cell

Abstract

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.

Related Organizations
Keywords

Single-Cell Analysis, Pancreas

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average