AI Analysis Reveals Cellular Changes in Type 1 Diabetes Pancreatic Islets
Scientists have constructed PanKbase, a comprehensive single-cell RNA sequencing atlas of human pancreatic islets comprising nearly 449,000 cells from 140 donors across five disease phenotypes. The atlas integrates publicly available datasets from multiple programs—HPAP, Prodo Labs, and IIDP—harmonizing variables such as age, sex, BMI, and sequencing chemistry. The resource is intended to accelerate hypothesis-driven research into diabetes pathophysiology and support machine-learning applications.
The PanKbase atlas represents a major data integration effort in diabetes research, combining single-cell RNA sequencing (scRNA-seq) data from isolated human pancreatic islets into a single, publicly accessible resource at www.pankbase.org. The atlas encompasses 191 high-quality assays from 140 donors—59 female and 81 male—spanning controls without diabetes, autoantibody-positive individuals, pre-diabetic donors, and those with Type 1 or Type 2 diabetes. In total, 448,935 cells were catalogued, capturing major endocrine populations including alpha cells (43.3%) and beta cells (26.8%), as well as rarer non-endocrine populations such as endothelial and immune cells. The dataset also includes experimentally perturbed samples exposed to SARS-CoV-2 and pro-inflammatory cytokines, broadening its utility for studying environmental triggers of diabetes. Rigorous quality control was applied at the read, barcode, and sample levels, and careful metadata curation was performed to account for confounding variables across diverse laboratories and experimental conditions. By unifying previously fragmented datasets, the atlas addresses a key limitation of individual scRNA-seq studies, which are typically small and donor-limited. The resource is positioned as a platform for both mechanistic investigation and downstream computational modeling of diabetes.
What's missing
As a preprint on bioRxiv, this work has not yet undergone formal peer review, and its methods and conclusions should be interpreted with that caveat. The relatively small number of donors with Type 1 diabetes (12) and autoantibody-positive status (12) may limit statistical power for disease-specific analyses. Long-term plans for atlas maintenance, versioning, and incorporation of future datasets are not described.
What different sources said
- bioRxivCenter
PanKbase Integrated Single-Cell Map: A Comprehensive Atlas of Human Pancreatic Islets
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