体内
转录因子
生物
细胞生物学
计算生物学
细胞
电池类型
抄写(语言学)
基因
星形胶质细胞
神经科学
疾病
基因表达
地图集(解剖学)
基因表达调控
体外
生物信息学
转录活性
作者
Liansheng Zhang,Q L,Xiangrui Kong,Weijuan Zou,B. L. Wang,Bin Wu,Shicheng Cai,Tao Bai,Runlin Tan,Ziji Dai,Xingyu Liu,Zhiheng Jia,Meimei Zhang,TT Li,Yuanyi Zheng,Xinde Hu,Jianrong Wu,Z Xu,Haibo Zhou
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2026-04-23
卷期号:392 (6796): eadw2156-eadw2156
标识
DOI:10.1126/science.adw2156
摘要
An in vivo approach combining high-throughput screening with cell type–specific readouts could enable elucidation of genotype-phenotype relationships in complex tissues. We developed an in vivo gain-of-function Perturb-seq platform, termed iGOF–Perturb-seq, to build a functional atlas of ~1000 transcription factors (TFs) in astrocytes, a cell type essential to many brain functions. We then identified cofunctional modules, annotated uncharacterized TFs, and predicted disease-associated TF clusters. Furthermore, iGOF–Perturb-seq performed in a mouse neuroinflammatory model identified Ferd3l as a therapeutic candidate, and astrocyte-specific overexpression of Ferd3l alleviated Alzheimer’s disease symptoms in mice. This study provides resources for understanding gene regulation and disease mechanisms in vivo and for identifying potential therapeutic targets for different brain diseases.
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