生物
免疫系统
胶质母细胞瘤
转录组
癌症研究
计算生物学
基因
基因表达
遗传学
作者
Daniel S. Kirschenbaum,Kaikun Xie,Florian Ingelfinger,Yonatan Katzenelenbogen,Kathleen Abadie,Thomas Look,Fadi Sheban,Truong San Phan,Baoguo Li,Pascale Zwicky,Ido Yofe,Eyal David,Kfir Mazuz,Jinchao Hou,Yun Chen,Hila Shaim,Mayra Shanley,Soeren Becker,Jiawen Qian,Marco Colonna
出处
期刊:Cell
[Cell Press]
日期:2023-12-21
卷期号:187 (1): 149-165.e23
被引量:88
标识
DOI:10.1016/j.cell.2023.11.032
摘要
Deciphering the cell-state transitions underlying immune adaptation across time is fundamental for advancing biology. Empirical in vivo genomic technologies that capture cellular dynamics are currently lacking. We present Zman-seq, a single-cell technology recording transcriptomic dynamics across time by introducing time stamps into circulating immune cells, tracking them in tissues for days. Applying Zman-seq resolved cell-state and molecular trajectories of the dysfunctional immune microenvironment in glioblastoma. Within 24 hours of tumor infiltration, cytotoxic natural killer cells transitioned to a dysfunctional program regulated by TGFB1 signaling. Infiltrating monocytes differentiated into immunosuppressive macrophages, characterized by the upregulation of suppressive myeloid checkpoints Trem2, Il18bp, and Arg1, over 36 to 48 hours. Treatment with an antagonistic anti-TREM2 antibody reshaped the tumor microenvironment by redirecting the monocyte trajectory toward pro-inflammatory macrophages. Zman-seq is a broadly applicable technology, enabling empirical measurements of differentiation trajectories, which can enhance the development of more efficacious immunotherapies.
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