← 返回

时间——免疫细胞的第四维

英文原题:Time - The fourth dimension of immune cells.

查看英文原题

Time - The fourth dimension of immune cells.

PubMed 2024/08/04(内容时间) MedComm (2020) Q1 · IF 14.1(JCR 2025)

分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。

中文摘要

解读随时间协调免疫适应的复杂细胞状态转变是推动生物学理解进步的基石。然而,缺乏能够捕捉细胞动力学的体内实证基因组技术一直是一个重大挑战。为弥补这一空白,一项开创性研究引入了 Zman-seq,这是一种单细胞技术,通过将时间戳整合到循环免疫细胞中来记录跨时间的转录组动力学,使其能够在组织中长时间追踪。Zman-seq 在胶质母细胞瘤研究中的应用成功揭示了功能失调免疫微环境背后的细胞状态和分子轨迹。理解免疫应答过程中细胞状态转变的时间维度对于推进我们的生物学知识至关重要。Zman-seq 的出现解决了当前体内实证基因组技术的局限性,为研究免疫细胞随时间变化的动力学提供了一种革命性方法。本亮点全面探讨了 Zman-seq 在解析不同类型免疫治疗中功能失调免疫微环境内细胞状态转变和分子轨迹的意义。该技术在CAR-T 细胞治疗、克服耐药性、临床用药优化以及促进药物开发方面具有特殊潜力。特别是,本文讨论了提高临床治疗疗效的潜在策略。

展开英文摘要原文

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.

论文信息

作者
Li G、Zhang W、Yang J
单位
Department of Haematology Tongji Hospital Shanghai Key Laboratory of Signaling and Disease Research Frontier Science Center for Stem Cell Research School of Life Sciences and Technology Tongji University Shanghai China.China
期刊
MedComm2024 Aug
原文标识
PubMed 39105196 · DOI 10.1002/mco2.682