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Single cell chromatin accessibility identifies pancreatic islet cell type- and state-specific regulatory programs of diabetes risk

Single nucleus ATAC-seq (snATAC-seq) creates new opportunities to dissect cell type-specific mechanisms of complex diseases. As pancreatic islets are central to type 2 diabetes (T2D), we profiled 15.3k islet cells using combinatorial barcoding snATAC-seq and identified 12 clusters, including multipl...

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Detalles Bibliográficos
Autores principales: Chiou, Joshua, Zeng, Chun, Cheng, Zhang, Han, Jee Yun, Schlichting, Michael, Miller, Michael, Mendez, Robert, Huang, Serina, Wang, Jinzhao, Sui, Yinghui, Deogaygay, Allison, Okino, Mei-Lin, Qiu, Yunjiang, Sun, Ying, Kudtarkar, Parul, Fang, Rongxin, Preissl, Sebastian, Sander, Maike, Gorkin, David U, Gaulton, Kyle J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037575/
https://www.ncbi.nlm.nih.gov/pubmed/33795864
http://dx.doi.org/10.1038/s41588-021-00823-0
Descripción
Sumario:Single nucleus ATAC-seq (snATAC-seq) creates new opportunities to dissect cell type-specific mechanisms of complex diseases. As pancreatic islets are central to type 2 diabetes (T2D), we profiled 15.3k islet cells using combinatorial barcoding snATAC-seq and identified 12 clusters, including multiple alpha, beta and delta cell states. We cataloged 228,873 accessible chromatin sites and identified transcription factors underlying lineage- and state-specific regulation. We observed state-specific enrichment of fasting glucose and T2D GWAS for beta cells as well as enrichment for other endocrine cell types. At T2D signals localized to islet accessible chromatin, we prioritized variants with predicted regulatory function and co-accessibility with target genes. A causal T2D variant rs231361 at the KCNQ1 locus had predicted effects on a beta cell enhancer co-accessible with INS, and genome editing in embryonic stem cell-derived beta cells affected INS levels. Together our findings demonstrate the power of single cell epigenomics for interpreting complex disease genetics.