Single cell chromatin accessibility map of pancreatic islets using data from HPAP v1.0

Summary This dataset presents a single-nuclei ATAC-seq (snATAC-seq) map of chromatin accessibility in human pancreatic islets, generated from samples contributed by the Human Pancreas Analysis Program (HPAP). The data covers 97,803 nuclei across non-diabetic, T1D autoantibody-positive (Aab+), T1D, and T2D donors. It enables the study of gene regulation and chromatin landscape in islet cells under both normal and diabetic states. Key Fields:Dataset ID: islet_of_Langerhans_snATAC_v1 Tissue: Islet of Langerhans Species: Human (Homo sapiens) Method: snATACseq Platform: 10x Genomics Total Cells/Nuclei: 97,803 Disease Status: non-diabetic; T1D autoantibody positive (Aab+); T1D; T2D Download:[PanKbase Data Library](https://data.pankbase.org/matrix-files/PKBFI0784JPQV/) 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 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. 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 4 primary studies that generated the data.