Time-resolved single-cell transcriptomics defines immune trajectories in glioblastoma
Menée à l'aide de lignées cellulaires, de modèles murins de glioblastome et d'une technologie combinant séquençage de l'ARN à l'échelle d'une cellule unique et suivi par fluorescence des modifications transcriptomiques des cellules immunitaires circulantes, cette étude met en évidence les modifications moléculaires du microenvironnement tumoral qui conduisent à un dysfonctionnement immunitaire
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.
Cell 2023