生物
染色质
增强子
表观遗传学
转录因子
电池类型
遗传学
小岛
基因组
计算生物学
基因
细胞
胰岛素
基因表达
内分泌学
DNA甲基化
作者
Joshua Chiou,Chun Zeng,Cheng Zhang,Jee Yun Han,Michael Schlichting,Michael Miller,Robert Mendez,Serina Huang,Jinzhao Wang,Yinghui Sui,Allison Deogaygay,Mei-Lin Okino,Yunjiang Qiu,Ying Sun,Parul Kudtarkar,Rongxin Fang,Sebastian Preißl,Maike Sander,David U. Gorkin,Kyle J. Gaulton
出处
期刊:Nature Genetics
[Springer Nature]
日期:2021-04-01
卷期号:53 (4): 455-466
被引量:132
标识
DOI:10.1038/s41588-021-00823-0
摘要
Single-nucleus assay for transposase-accessible chromatin using sequencing (snATAC-seq) creates new opportunities to dissect cell type–specific mechanisms of complex diseases. Since pancreatic islets are central to type 2 diabetes (T2D), we profiled 15,298 islet cells by 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 genome-wide association studies for beta cells and 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. Single-cell ATAC-seq analysis of human pancreatic islet cells identifies different cell clusters and transcription factors that underlie lineage- and state-specific regulation and helps prioritize type 2 diabetes risk variants.
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