Institute for Medical Microbiology, Immunology and Hygiene, Technische Universität München (TUM), Munich, Germany.
Adv Immunol. 2018;137:1-41. doi: 10.1016/bs.ai.2017.12.001. Epub 2018 Jan 9.
Single antigen-specific B or T lymphocytes are the smallest functional units, into which an adaptive immune response can be dissected. Today, novel high-throughput technologies are providing researches with increasingly complex information on the diverse phenotypic signatures of individual lymphocytes. With a focus on T cells, we summarize here, how computational approaches are becoming increasingly important to identify the relevant developmental boundaries and connections between these high-dimensional lymphocyte states. We then describe how these insights may be further expanded by novel experimental approaches that allow to map the fate of individual T cells and their progeny in vivo and in vitro. Finally, we highlight how these experiments have uncovered a probabilistic regulatory structure of T cell immune responses and briefly discuss, how two distinct theoretical frameworks used to describe this structure may be merged to best capture single T cell behavior in computational terms.
单抗原特异性 B 或 T 淋巴细胞是最小的功能单位,可以对适应性免疫反应进行剖析。如今,新型高通量技术为研究人员提供了越来越多的关于单个淋巴细胞多样化表型特征的复杂信息。本文重点关注 T 细胞,我们总结了计算方法如何越来越重要,以识别这些高维淋巴细胞状态之间的相关发育边界和连接。然后,我们描述了如何通过允许在体内和体外映射单个 T 细胞及其后代命运的新实验方法进一步扩展这些见解。最后,我们强调了这些实验如何揭示了 T 细胞免疫反应的概率调节结构,并简要讨论了用于描述这种结构的两个不同理论框架如何合并以最佳地从计算角度捕获单个 T 细胞行为。