Statistical analyses for spatial organisation in T cell signalling networks

T 细胞信号网络空间组织的统计分析

• 批准号: DP170103599
• 负责人: Prof Katharina Gaus
• 金额: $ 27.9万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP170103599
• 关键词: Statistical; analyses; spatial; organisation; cell

This project aims to reveal how nanoscale spatial organisation encodes plasticity in the T cell signalling network, and how T cells exploit this plasticity to regulate sensitivity to antigens. In adoptive immunity, T cells respond appropriately to any given antigen, but how they make decisions is unclear. This project will define how nanoscale spatial organisation of signalling molecules shapes signalling strength and plasticity in the T cell antigen receptor (TCR) network; and infer rules linking spatial organisation and signalling activities in intact T cells. Contextualising the TCR signalling network is expected to reveal the origin and use of network plasticity for T cell decision-making. Such information could be invaluable for the design of vaccines and immune-modulating drugs.

该项目旨在揭示纳米级空间组织如何编码T细胞信号网络中的可塑性，以及T细胞如何利用这种可塑性来调节对抗原的敏感性。在过继免疫中，T细胞对任何给定的抗原都有适当的反应，但它们如何做出决定尚不清楚。该项目将定义信号分子的纳米级空间组织如何在T细胞抗原受体（TCR）网络中塑造信号强度和可塑性;并推断完整T细胞中空间组织和信号活动之间的联系规则。情境化TCR信号网络有望揭示T细胞决策的网络可塑性的起源和用途。这些信息对于疫苗和免疫调节药物的设计可能非常宝贵。