Yale Center for Systems and Engineering Immunology and Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA.
Yale Center for Systems and Engineering Immunology and Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA; Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, Bethesda, MD 20892, USA.
Trends Immunol. 2023 Oct;44(10):766-781. doi: 10.1016/j.it.2023.08.007. Epub 2023 Sep 9.
Regulatory T (Treg) cells play vital roles in immune homeostasis and response, including discrimination between self- and non-self-antigens, containment of immunopathology, and inflammation resolution. These diverse functions are orchestrated by cellular circuits involving Tregs and other cell types across space and time. Despite dramatic progress in our understanding of Treg biology, a quantitative framework capturing how Treg-containing circuits give rise to these diverse functions is lacking. Here, we propose that different facets of Treg function can be interpreted as distinct operating regimes of the same underlying circuit. We discuss how a systems immunology approach, involving quantitative experiments, computational modeling, and machine learning, can advance our understanding of Treg function, and help identify general operating and design principles underlying immune regulation.
调节性 T（Treg）细胞在免疫稳态和反应中发挥着至关重要的作用，包括区分自身和非自身抗原、控制免疫病理学以及炎症消退。这些不同的功能是由涉及 Treg 细胞和其他细胞类型的时空细胞回路来协调的。尽管我们对 Treg 生物学的理解取得了显著进展，但缺乏一个定量框架来捕捉包含 Treg 细胞的回路如何产生这些不同的功能。在这里，我们提出 Treg 功能的不同方面可以被解释为同一基础回路的不同工作模式。我们讨论了如何通过系统免疫学方法，包括定量实验、计算建模和机器学习，来推进我们对 Treg 功能的理解，并帮助确定免疫调节的一般工作和设计原则。
