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An Integrated Map of Cell Type-Specific Gene Expression in Pancreatic Islets.
Elgamal, Ruth M; Kudtarkar, Parul; Melton, Rebecca L; Mummey, Hannah M; Benaglio, Paola; Okino, Mei-Lin; Gaulton, Kyle J.
Afiliación
  • Elgamal RM; Biomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA.
  • Kudtarkar P; Department of Pediatrics, University of California, San Diego, La Jolla, CA.
  • Melton RL; Biomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA.
  • Mummey HM; Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA.
  • Benaglio P; Department of Pediatrics, University of California, San Diego, La Jolla, CA.
  • Okino ML; Biomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA.
  • Gaulton KJ; Department of Pediatrics, University of California, San Diego, La Jolla, CA.
Diabetes ; 72(11): 1719-1728, 2023 Nov 01.
Article en En | MEDLINE | ID: mdl-37582230
Pancreatic islets consist of multiple cell types that produce hormones required for glucose homeostasis, and islet dysfunction is a major factor in type 1 and type 2 diabetes. Numerous studies have assessed transcription across individual cell types using single-cell assays; however, there is no canonical reference of gene expression in islet cell types that is also easily accessible for researchers to query and use in bioinformatics pipelines. Here we present an integrated map of islet cell type-specific gene expression from 192,203 cells from single-cell RNA sequencing of 65 donors without diabetes, donors who were type 1 diabetes autoantibody positive, donors with type 1 diabetes, and donors with type 2 diabetes from the Human Pancreas Analysis Program. We identified 10 distinct cell types, annotated subpopulations of several cell types, and defined cell type-specific marker genes. We tested differential expression within each cell type across disease states and identified 1,701 genes with significant changes in expression, with most changes observed in ß-cells from donors with type 1 diabetes. To facilitate user interaction, we provide several single-cell visualization and reference mapping tools, as well as the open-access analytical pipelines used to create this reference. The results will serve as a valuable resource to investigators studying islet biology.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Islotes Pancreáticos / Diabetes Mellitus Tipo 1 / Diabetes Mellitus Tipo 2 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Diabetes Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Islotes Pancreáticos / Diabetes Mellitus Tipo 1 / Diabetes Mellitus Tipo 2 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Diabetes Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos