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107-OR: Profiling of Human Pancreatic Islets by Single Cell Transcriptomics Reveals α- and ß-Cell Subpopulations
- Source :
- Diabetes. 68
- Publication Year :
- 2019
- Publisher :
- American Diabetes Association, 2019.
-
Abstract
- Single cell RNA-sequencing (scRNA-seq) approaches are continuously improving at the point of data collection and analysis to simultaneously profile all cell types within islet microorgans to better understand heterogeneity and phenotype-function relationships and how these change with aging and disease. To better understand the advantages and limitations of scRNA-seq, we used the ChromiumTMplatform to profile human islets with a robust insulin and glucagon secretion by perifusion (5 nondiabetic donors, ages 14-66 years) and compared these results to scRNA-seq analysis of purified α and β cells. In context of the same donor (n=2), purified α and β cells (using NTPDase3 marker) showed high correlation (r=0.99) with the Seurat-identified α and β subsets originating from dispersed whole islets. Based on the analysis of a very large pool of single cells (79,881 cells; 2316 genes/cell), the Seurat-guided analysis identified cell types that segregated into eight different clusters (17% β, 66% α, 4% δ, 4% ductal, 4% mesenchymal, 2% acinar, 2% endothelial, and 1% immune). Interstingly, in this large single cell context, we did not identify the four β cell subsets previously reported on the basis of alternative cell surface markers, but found a β cell cluster with highly expressed ER stress-associated genes and an α cell cluster with higher cell cycle regulation marker expression. We concurrently investigated expression of functionally important MAFA and MAFB genes, which are expressed only in a fraction of β cells by histological analysis, and found that PERK-mediated UPR transcripts were enriched in the MAFB-expressing β cells, while the MAFA-expressing β cells differentially expressed genes associated with β cell function. Overall, our study indicates high fidelity of α and β cell clustering in dispersed and sorted islet cells and points to a different pattern of β cell heterogeneity when β cells are purified using NTPDase3 expression compared to other cell surface markers. Disclosure S. Shrestha: None. D.C. Saunders: None. J.T. Walker: None. R. Haliyur: None. G. Poffenberger: None. R. Aramandla: None. A. Jones: None. N. Prasad: None. S.E. Levy: None. A.C. Powers: None. M. Brissova: None.
Details
- ISSN :
- 1939327X and 00121797
- Volume :
- 68
- Database :
- OpenAIRE
- Journal :
- Diabetes
- Accession number :
- edsair.doi...........e800a139ef2e3950d0d9dd467a31c19c
- Full Text :
- https://doi.org/10.2337/db19-107-or