Benchmarking porcine pancreatic ductal organoids for drug screening applications.
Primary human pancreatic ductal organoids (HPDO) have emerged as a model to study pancreas biology and model disease like pancreatitis and pancreatic cancer.
APA
Karampelias C, Yang K, et al. (2025). Benchmarking porcine pancreatic ductal organoids for drug screening applications.. EMBO molecular medicine, 17(12), 3657-3688. https://doi.org/10.1038/s44321-025-00330-3
MLA
Karampelias C, et al.. "Benchmarking porcine pancreatic ductal organoids for drug screening applications.." EMBO molecular medicine, vol. 17, no. 12, 2025, pp. 3657-3688.
PMID
41188536
Abstract
Primary human pancreatic ductal organoids (HPDO) have emerged as a model to study pancreas biology and model disease like pancreatitis and pancreatic cancer. Yet, donor material availability, genetic variability and a lack of extensive benchmarking to healthy and disease pancreas limits the range of applications. To address this gap, we established porcine pancreatic ductal organoids (PPDO) as a system from a reliable, genetically defined and easily obtainable source to model pancreatic ductal/progenitor biology. We benchmarked PPDO to HPDO and primary porcine pancreas using single-cell RNA sequencing (scRNA-Seq). We observed no overt phenotypic differences in PPDO derived from distinct developmental stages using extensive proteomics profiling, with a WNT/basal cell signaling enriched population characterizing PPDO. PPDO exhibited differentiation potential towards mature ductal cells and limited potential towards endocrine lineages. We used PPDO as a chemical screening platform to assess the safety of FDA-approved drugs and showed conserved toxicity of statins and α-adrenergic receptor inhibitors between PPDO and HPDO cultures. Overall, our results highlight the PPDO as a model for mammalian duct/progenitor applications.
MeSH Terms
Animals; Organoids; Swine; Pancreatic Ducts; Drug Evaluation, Preclinical; Humans; Benchmarking; Cell Differentiation; Proteomics; Pancreas; Single-Cell Analysis