{
"@context": "/terms/",
"@id": "/publications/bd90b030-030d-40b5-ae4b-751e08a2a256/",
"@type": [
"Publication",
"Item"
],
"abstract": "In this perspective, we provide an overview of a recently established National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) initiative, the Human Pancreas Analysis Program for Type 2 Diabetes (HPAP-T2D). This program is designed to define the molecular pathogenesis of islet dysfunction by studying human pancreatic tissue samples from organ donors with T2D. HPAP-T2D generates detailed datasets of physiological, histological, transcriptomic, epigenomic, and genomic information. Importantly, all data collected, generated, and analyzed by HPAP-T2D are made immediately and freely available through a centralized database, PANC-DB, thus providing a comprehensive data resource for the diabetes research community.",
"aliases": [
"klaus-kaestner:publication_HPAP_2"
],
"audit": {},
"authors": "Suzanne N Shapira, Ali Naji, Mark A Atkinson, Alvin C Powers, Klaus H Kaestner",
"award": {
"@id": "/awards/UC4DK112217/"
},
"creation_timestamp": "2024-10-16T18:39:25.398119+00:00",
"date_published": "2022-12-06",
"issue": "12",
"journal": "Cell Metabolism",
"lab": {
"@id": "/labs/klaus-kaestner/",
"title": "Klaus Kaestner, UPenn"
},
"page": "1906-1913",
"publication_identifiers": [
"PMID:36206763",
"PMCID:PMC9742126",
"doi:10.1016/j.cmet.2022.09.013"
],
"publication_year": 2022,
"published_by": [
"community"
],
"release_timestamp": "2025-01-10T04:27:33.175631+00:00",
"schema_version": "6",
"status": "released",
"submitted_by": {
"@id": "/users/5e3038c4-baa5-4589-b3d8-ad2fe634e826/",
"title": "Ying Sun"
},
"submitter_comment": "This work was supported by the Human Islet Research Network (RRID:SCR_014393), the Human Pancreas Analysis Program (RRID:SCR_016202), DK112217, DK123716, DK112232, DK123594, DK20593 (Vanderbilt Diabetes Research and Training Center), and DK019525 (PENN Diabetes Research Center).",
"summary": "bd90b030-030d-40b5-ae4b-751e08a2a256",
"title": "Understanding islet dysfunction in type 2 diabetes through multidimensional pancreatic phenotyping: The Human Pancreas Analysis Program",
"uuid": "bd90b030-030d-40b5-ae4b-751e08a2a256",
"volume": "34"
}