Learning from the thymic human cell atlas for T cell engineering

从人类胸腺细胞图谱中学习 T 细胞工程

• 批准号: EP/Y02978X/2
• 负责人: Sarah Teichmann
• 金额: --
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY02978X%2F2
• 关键词: Learning; thymic; human; cell; atlas

One of the central questions in immunology is how adaptive immunity generates its diversity while maintaining tolerance. The keymediators of tolerance are T cells, which develop in the thymus, where thymocytes rearrange their T cell receptor genes and undergopositive and negative selection. This ensures their ability to recognise antigen in the context of MHC, whilst avoiding self-reactivity.We are still far from fully understanding the steps in these processes at the molecular level, especially in humans: What are thedevelopmental trajectories of different T cell subtypes, and how do they relate to their journey through the organ during maturation?What is the functional role played by the macro- and micro-scale environments in regulating this? These questions have gained inimportance since several T cell types are now therapeutics in cancer and transplantation, raising the question of how to engineerspecific T cell subsets in vitro.In AIM 1, we propose to generate an organ-scale 3D thymic cell atlas at full genomic breadth through genomics and imagingtechnologies. By combining multi-modal single cell genomics with multi-scale spatial genomics and imaging technologies, we willgenerate a rich data set for deep and comprehensive reconstruction of tissue architectures in a thymic lobe.In AIM 2, we will carry out computational data integration with new methods for 3D multi-modal atlas assembly to predictlymphocyte developmental mechanisms at micro and macro scales.In AIM 3, we will use an artificial thymic organoid system to simultaneously validate our findings and enhance T cell engineeringapproaches.This powerful integrated approach combines genomics, imaging and tissue engineering together with computational analyses todissect design principles of the thymus, a central organ of the immune system. This knowledge will guide the development ofengineered T cells as research reagents, and ultimately as therapeutics.

免疫学的核心问题之一是适应性免疫如何在保持耐受性的同时产生多样性。耐受性的关键介质是T细胞，它们在胸腺中发育，胸腺细胞重新排列它们的T细胞受体基因并进行正选择和负选择。这确保了它们在MHC背景下识别抗原的能力，同时避免了自我反应。我们还远远没有在分子水平上完全理解这些过程的步骤，特别是在人类中：不同T细胞亚型的发育轨迹是什么，它们在成熟过程中与器官的旅程有什么关系？宏观和微观环境在调控这一过程中发挥了怎样的功能作用？这些问题已经变得不重要，因为几种T细胞类型现在是癌症和移植的治疗方法，提出了如何在体外设计特异性T细胞亚群的问题。在AIM 1中，我们建议通过基因组学和成像技术在全基因组宽度上生成器官尺度的3D胸腺细胞图谱。通过将多模态单细胞基因组学与多尺度空间基因组学和成像技术相结合，我们将生成丰富的数据集，用于胸腺叶组织结构的深度和全面重建。在AIM 2中，我们将使用3D多模态图谱组装的新方法进行计算数据集成，以预测微观和宏观尺度上淋巴细胞的发育机制。在AIM 3中，我们将使用人工胸腺类器官系统来同时验证我们的发现并增强T细胞工程方法。这种强大的综合方法将基因组学、成像和组织工程与计算分析结合在一起，剖析了胸腺（免疫系统的中心器官）的设计原理。这些知识将指导工程T细胞作为研究试剂的发展，并最终作为治疗手段。