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Temporally resolved single-cell transcriptomics defines immune dysfunction trajectories in glioblastoma

ABSTRACT: Immune cells sense their environment and adapt their state. Deciphering cellular trajectories unfolding over time is fundamental for understanding biology. Empirical in vivo genomic technologies measuring both cell state and time are lacking. Here, we present Zman-seq, a single-cell technology tracking transcriptomic dynamics across time by introducing fluorescent time stamps into immune cells. We applied Zman-seq to resolve immune cell state-transitions of the dysfunctional tumor immune microenvironment (TME) of glioblastoma (GBM). By measuring the exposure time of infiltrating immune cells in the TME, Zman-seq defines the cellular and molecular trajectories underlying immune incompetence in GBM. Within 24 hours, cytotoxic NK cells transitioned to a dysfunctional program regulated by Tgfb1, while monocytes differentiated into immunosuppressive macrophages in 36-48 hours. Anti-TREM2 antagonistic antibody reshaped the TME by redirecting monocytes to pro-inflammatory macrophages. Zman-seq is a broadly applicable technology enabling empirical measurements of differentiation trajectories guiding the development of more efficacious immunotherapies.

ORGANISM(S): Mus musculus

PROVIDER: GSE232040 | GEO | 2023/12/21

REPOSITORIES: GEO

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