时间--免疫细胞的第四个维度。

IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL MedComm Pub Date : 2024-08-04 DOI:10.1002/mco2.682
Guiming Li, Wenjun Zhang, Jing Yang
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引用次数: 0

摘要

破译随着时间推移协调免疫适应的错综复杂的细胞状态转变是推进生物认识的基石。然而,由于缺乏能够捕捉细胞动态的经验性体内基因组技术,这构成了一项重大挑战。针对这一空白,一项突破性研究引入了 Zman-seq 技术,这是一种单细胞技术,通过在循环免疫细胞中加入时间戳来记录转录组的跨时间动态,从而实现对组织的长期追踪。Zman-seq 在胶质母细胞瘤研究中的应用成功揭示了免疫微环境失调的细胞状态和分子轨迹。了解免疫反应过程中细胞状态转变的时间方面,对于增进我们的生物学知识至关重要。Zman-seq 的出现解决了目前经验性体内基因组技术的局限性,为研究免疫细胞随时间变化的动态提供了一种革命性的方法。这篇重点文章全面探讨了 Zman-seq 在解决不同类型免疫疗法中功能失调免疫微环境中细胞状态转换和分子轨迹方面的意义。这项技术在嵌合抗原受体T细胞疗法、克服耐药性、临床用药优化和促进药物开发方面具有特殊的潜力。本文特别讨论了提高临床治疗效果的潜在策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Time – The fourth dimension of immune cells

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.

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