Single cell expression map of pancreatic islets using data from HPAP, IIDP and Prodo v1.0

Summary This dataset represents the islet of Langerhans tissue from human samples contributed by HPAP, IIDP, and Prodo. It contains 565,388 cells profiled using 10x Genomics single-cell RNA sequencing. Key Fields:Dataset ID: islet_of_Langerhans_scRNA_v1 Tissue: Islet of Langerhans Species: Human (Homo sapiens) Platform: 10x Genomics Method: scRNAseq Total Cells: 565,388 Diseases: Diabetes The dataset is also available at: [PanKbase Data Library (S3)](https://data.pankbase.org/matrix-files/PKBFI4385LQRF/) Secondary Citations and Source Acknowledgments This work used data acquired from the [Human Pancreas Analysis Program (HPAP)](https://hpap.pmacs.upenn.edu/) (RRID:SCR_016202), supported by the Human Islet Research Network (HIRN; RRID:SCR_014393), with funding from:- UC4-DK112217 - U01-DK123594 - UC4-DK112232 - U01-DK123716 Related Publications:- PMID: 31127054- PMID: 36206763- PMID: 35228745- PMID: 37188822 Additional islet samples and tissues were provided by the Integrated Islet Distribution Program (IIDP) (RRID:SCR_014387), funded by NIH Grant #2UC4DK098085. Data from the following studies were used: 1] S. N. Shapira, A. Naji, M. A. Atkinson, A. C. Powers, and K. H. Kaestner, "Understanding islet dysfunction in type 2 diabetes through multidimensional pancreatic phenotyping: The Human Pancreas Analysis Program," Cell Metab., vol. 34, no. 12, pp. 1906–1913, Dec. 2022, doi: 10.1016/j.cmet.2022.09.013.[2] K. H. Kaestner, A. C. Powers, A. Naji, HPAP Consortium, and M. A. Atkinson, "NIH Initiative to Improve Understanding of the Pancreas, Islet, and Autoimmunity in Type 1 Diabetes: The Human Pancreas Analysis Program (HPAP)," Diabetes, vol. 68, no. 7, pp. 1394–1402, Jul. 2019, doi: 10.2337/db19-0058.[3] A. R. Patil, J. Schug, A. Naji, K. H. Kaestner, R. B. Faryabi, and G. Vahedi, "Single-cell expression profiling of islets generated by the Human Pancreas Analysis Program," Nat. Metab., vol. 5, no. 5, pp. 713–715, May 2023, doi: 10.1038/s42255-023-00806-x.[4] M. Fasolino et al., "Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetes," Nat. Metab., vol. 4, no. 2, pp. 284–299, Feb. 2022, doi: 10.1038/s42255-022-00531-x.[5] B. Marquina-Sanchez et al., "Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets," Genome Biol., vol. 21, no. 1, p. 106, Dec. 2020, doi: 10.1186/s13059-020-02006-2.[6] X. Tang et al., "SARS-CoV-2 infection induces beta cell transdifferentiation," Cell Metab., vol. 33, no. 8, pp. 1577-1591.e7, Aug. 2021, doi: 10.1016/j.cmet.2021.05.015.[7] S. Shrestha et al., "Combinatorial transcription factor profiles predict mature and functional human islet α and β cells," JCI Insight, vol. 6, no. 18, p. e151621, Sep. 2021, doi: 10.1172/jci.insight.151621.[8] G. Basile et al., "Excess pancreatic elastase alters acinar-β cell communication by impairing the mechano-signaling and the PAR2 pathways," Cell Metab., vol. 35, no. 7, pp. 1242-1260.e9, Jul. 2023, doi: 10.1016/j.cmet.2023.05.007.[9] W. Xu et al., "Architecture of androgen receptor pathways amplifying glucagon-like peptide-1 insulinotropic action in male pancreatic β cells," Cell Rep., vol. 42, no. 5, p. 112529, May 2023, doi: 10.1016/j.celrep.2023.112529.[10] R. B. Kang et al., "Single-nucleus RNA sequencing of human pancreatic islets identifies novel gene sets and distinguishes β-cell subpopulations with dynamic transcriptome profiles," Genome Med., vol. 15, no. 1, p. 30, May 2023, doi: 10.1186/s13073-023-01179-2.[11] K. Bandesh et al., "Single-cell decoding of human islet cell type-specific alterations in type 2 diabetes reveals converging genetic- and state-driven β-cell gene expression defects," Jan. 22, 2025, Genomics. doi: 10.1101/2025.01.17.633590.[12] J. S. Stancill, M. Y. Kasmani, W. Cui, and J. A. Corbett, "Single Cell RNAseq Analysis of Cytokine-Treated Human Islets: Association of Cellular Stress with Impaired Cytokine Responsiveness," Function, vol. 5, no. 4, p. zqae015, Jul. 2024, doi: 10.1093/function/zqae015.[13] E. K. Sokolowski et al., "Multi-omic human pancreatic islet endoplasmic reticulum and cytokine stress response mapping provides type 2 diabetes genetic insights," Cell Metab., vol. 36, no. 11, pp. 2468-2488.e7, Nov. 2024, doi: 10.1016/j.cmet.2024.09.006. License CC-BY 4.0 International Citation Please cite this dataset using the DOI generated by Zenodo, all the Source Acknowledgment grants listed above, and the 13 primary studies that generated the data.