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Integrated meta-analysis of public human pancreatic single-cell transcriptomes reveals distinct beta-cell state trajectories across aging and diabetes

Iich, E.

2026-01-29 cell biology
10.64898/2026.01.27.701674 bioRxiv
Show abstract

Human pancreas single-cell RNA sequencing (scRNA-seq) studies have revealed extensive islet heterogeneity, yet cross-study integration remains limited by cohort- and platform-specific effects. Here, we assembled a unified atlas of >266,000 human pancreatic cells by harmonizing 18 publicly available scRNA-seq datasets spanning diverse technologies and donor phenotypes. Trajectory-based analyses resolved three beta-cell state trajectories associated with distinct stress axes. One trajectory reflects aging-associated transcriptional drift with progressive ER stress activation. A second captures diabetes-associated remodeling characterized by combined ER stress and induction of exocrine-like gene programs. A third highlights a metabolic-stress-associated program linked to lipid metabolism and polyhormonal transcriptional signatures in non-diabetic donors with elevated metabolic burden. In contrast to the relative stability of alpha-cell states, beta-cell identity programs eroded along specific trajectories, often preceding marked reductions in INS expression. Together, this integrated resource provides a scalable framework for dissecting human beta-cell plasticity and dysfunction using public single-cell transcriptomic data. HIGHLIGHTSO_LIIntegrated atlas of >266,000 human pancreatic cells from 18 public scRNA-seq datasets spanning aging and diabetes C_LIO_LIThree beta-cell state trajectories associated with aging-related stress, diabetes-linked stress with exocrine-like program induction, and lipid-associated polyhormonal dedifferentiation C_LIO_LIAlpha-cell states are comparatively stable, whereas beta-cell identity programs erode along trajectory-specific paths, often preceding INS loss C_LIO_LIDiabetes-associated beta-cell subsets exhibit endocrine-exocrine transcriptional plasticity inferred from transcriptomic programs C_LIO_LIJUND identified as a candidate transcription factor associated with stress-linked exocrine gene expression in T2D beta cells C_LI

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