增强子
生物
清脆的
计算生物学
基因组
基因
功能(生物学)
电池类型
星形胶质细胞
Cas9
遗传学
神经科学
遗传筛选
基因调控网络
基因表达调控
全基因组关联研究
功能基因组学
表型
人类基因组
候选基因
基因组编辑
疾病
细胞
钥匙(锁)
基因表达
细胞生物学
模式生物
表观遗传学
人类疾病
基因组学
增强子rna
作者
Nicole F. Oldham Green,Gavin J Sutton,Javier Pérez‐Burillo,J. Wang,Sébastien Bagot,Hannah G Danon,Kieran Walsh,Akira Gokoolparsadh,Steve Miles,Guang Yang,Charles A. Herring,Yuheng Liang,Grant Pfundstein,Vladimir Sytnyk,Hamid Alinejad-Rokny,Ryan Lister,Joseph Rosenbluh,Johann A. Gagnon-Bartsch,Irina Voineagu
标识
DOI:10.1038/s41593-025-02154-3
摘要
Genetic variants associated with complex traits often lie in distal enhancers. While candidate enhancers have been mapped genome wide, their functional state and gene targets in specific cell types remain unclear. Here we present AstroREG, a resource of enhancer-gene interactions in human primary astrocytes, generated by combining CRISPR inhibition (CRISPRi), single-cell RNA-seq and machine learning. By functionally testing nearly 1,000 PsychENCODE enhancers, we identified more than 150 regulatory interactions, revealing enhancers that control key astrocyte functions and genes implicated in Alzheimer's disease. The CRISPRi screen also provided valuable ground-truth data from a primary cell type for training and benchmarking prediction models of enhancer activity. We thus developed EGrf, a random forest (RF) model trained on these data, and applied it genome wide to predict regulatory interactions with high specificity. Together, our data provide a comprehensive functional map of enhancer-mediated regulation in a key glial cell type, shedding light on brain function and disease.
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