表观基因组
生物
表观遗传学
增强子
转录组
遗传学
表观遗传学
基因
计算生物学
基因调控网络
神经科学
DNA甲基化
转录因子
基因表达
作者
Xushen Xiong,Benjamin T. James,Carles A. Boix,Yongjin Park,Kyriaki Galani,Matheus B. Victor,Na Sun,Lei Hou,Li‐Lun Ho,Julio Mantero,Aine Ni Scannail,Vishnu Dileep,Weixiu Dong,Hansruedi Mathys,David A. Bennett,Li‐Huei Tsai,Manolis Kellis
出处
期刊:Cell
[Elsevier]
日期:2023-09-01
卷期号:186 (20): 4422-4437.e21
被引量:63
标识
DOI:10.1016/j.cell.2023.08.040
摘要
Recent work has identified dozens of non-coding loci for Alzheimer's disease (AD) risk, but their mechanisms and AD transcriptional regulatory circuitry are poorly understood. Here, we profile epigenomic and transcriptomic landscapes of 850,000 nuclei from prefrontal cortexes of 92 individuals with and without AD to build a map of the brain regulome, including epigenomic profiles, transcriptional regulators, co-accessibility modules, and peak-to-gene links in a cell-type-specific manner. We develop methods for multimodal integration and detecting regulatory modules using peak-to-gene linking. We show AD risk loci are enriched in microglial enhancers and for specific TFs including SPI1, ELF2, and RUNX1. We detect 9,628 cell-type-specific ATAC-QTL loci, which we integrate alongside peak-to-gene links to prioritize AD variant regulatory circuits. We report differential accessibility of regulatory modules in late AD in glia and in early AD in neurons. Strikingly, late-stage AD brains show global epigenome dysregulation indicative of epigenome erosion and cell identity loss.
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