CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Decoding changes in tumor-infiltrating leukocytes through dynamic experimental models and single-cell technologies.
Decoding changes in tumor-infiltrating leukocytes through dynamic experimental models and single-cell technologies.
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近年来,单细胞分析平台的革命性进步极大地推动了表征免疫细胞以及探索调控其功能的分子相互作用的能力。然而,免疫细胞如何精确响应不同刺激,以及分化过程和效应功能在何处发挥作用,仍未完全被理解。在单细胞转录组分析中推断细胞命运如今已无处不在,尽管此类分析通常需要一些假设。最近开发的实验模型支持对免疫应答进行动态分析,为细胞内发生的时间变化以及这些转变发生的组织提供了见解。在此,我们将综述这些方法,并讨论如何将其与单细胞技术相结合,以更深入地理解免疫应答,从而支持为患者开发更好的治疗选择。
The ability to characterize immune cells and explore the molecular interactions that govern their functions has never been greater, fueled in recent years by the revolutionary advance of single-cell analysis platforms.
However, precisely how immune cells respond to different stimuli and where differentiation processes and effector functions operate remain incompletely understood. Inferring cellular fate within single-cell transcriptomic analyses is now omnipresent, despite the assumptions typically required in such analyses. Recently developed experimental models support dynamic analyses of the immune response, providing insights into the temporal changes that occur within cells and the tissues in which such transitions occur.
Here we will review these approaches and discuss how these can be combined with single-cell technologies to develop a deeper understanding of the immune responses that should support the development of better therapeutic options for patients.
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