Integrated meta-analysis of public human pancreatic single-cell transcriptomes reveals distinct beta-cell state trajectories across aging and diabetes
By integrating over 266,000 human pancreatic cells from 18 public single-cell RNA sequencing datasets, this study constructs a unified atlas that reveals three distinct beta-cell state trajectories driven by aging, diabetes, and metabolic stress, highlighting how beta-cell identity erodes through specific transcriptional programs involving endocrine-exocrine plasticity while alpha-cell states remain relatively stable.