Abstract
Deciphering the intricate cell-state transitions orchestrating immune adaptation over time stands as a cornerstone for advancing biological understanding. However, the lack of empirical in vivo genomic technologies capable of capturing cellular dynamics has posed a significant challenge. In response to this gap, a groundbreaking study introduces Zman-seq, a single-cell technology that records transcriptomic dynamics across time by incorporating time stamps into circulating immune cells, enabling their tracking in tissues for extended periods. The application of Zman-seq in glioblastoma research has successfully unraveled the cell state and molecular trajectories underlying the dysfunctional immune microenvironment. Understanding the temporal aspects of cell-state transitions during immune responses is pivotal for advancing our knowledge in biology. The emergence of Zman-seq addresses the current limitations in empirical in vivo genomic technologies, offering a revolutionary approach to studying the dynamics of immune cells over time. This highlight comprehensively explores the implications of Zman-seq in resolving cell-state transitions and molecular trajectories within the dysfunctional immune microenvironment in different types of immunotherapy. This technique has particular potential for chimeric antigen receptor T-cell therapy, overriding drug resistance, clinical medication optimization, and facilitating drug development. In particular, this article discusses potential strategies for improving the efficacy of clinical treatments.