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Single nucleus and in situ RNA sequencing reveals cell topographies in the human pancreas

Molecular evidence of cellular heterogeneity in the human exocrine pancreas has not been established, due to the local concentration of hydrolytic enzymes that can rapidly degrade cells and RNA upon resection. Here we innovated single-nucleus RNA sequencing protocols, and profiled more than 120,000 cells from adult and neonatal human donors to create the first comprehensive atlas of human pancreas cells, including epithelial and non-epithelial constituents. Adult and neonatal pancreata shared common features, including the presence of previously undetected acinar subtypes, but also showed marked differences in the composition of the endocrine, endothelial, and immune compartments. Spatial cartography, including cell proximity mapping through in situ sequencing, revealed dynamic developmental cell topographies in the endocrine and exocrine pancreas. Our human pancreas cell atlas can be interrogated to understand pancreatic cell biology, and provides a crucial reference set for future comparisons with diseased tissue samples to map the cellular foundations of pancreatic diseases.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001006396 Illumina HiSeq 4000 NextSeq 500 27
Publications Citations
Gene Signatures of NEUROGENIN3+ Endocrine Progenitor Cells in the Human Pancreas.
Front Endocrinol (Lausanne) 12: 2021 736286
3
Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetes.
Nat Metab 4: 2022 284-299
37
Estrogen-Related Receptor γ Maintains Pancreatic Acinar Cell Function and Identity by Regulating Cellular Metabolism.
Gastroenterology 163: 2022 239-256
5
Single Cell Meta-Analysis of Endothelial to Mesenchymal Transition (EndMT) in Glucose Metabolism of the Digestive Diseases.
Front Mol Biosci 9: 2022 866408
0
Aging compromises human islet beta cell function and identity by decreasing transcription factor activity and inducing ER stress.
Sci Adv 8: 2022 eabo3932
16
Transcriptomic Deconvolution of Neuroendocrine Neoplasms Predicts Clinically Relevant Characteristics.
Cancers (Basel) 15: 2023 936
0