论文标题
理解和建模免疫系统的复杂性：用于整合和动态重建的系统生物学多尺度动力学
Understanding and Modelling the Complexity of the Immune System: Systems Biology for Integration and Dynamical Reconstruction of Lymphocyte Multi-Scale Dynamics
论文作者
论文摘要
理解和建模免疫系统的复杂性是一个挑战，它是由RNSC的免疫复合$^1 $主题网络分享的。免疫系统是一个复杂的生物学，适应性，高度多样化，自组织和退化性的实体认知网络，可以建立具有良好且弹性的系统，具有新兴的特性，例如Anamnestic响应和调节。自适应免疫系统已演变为数十亿个高度多样化的淋巴细胞的复杂系统，它们都作为结缔组织，多尺度的有组织和分布式系统相互作用，以共同确保身体和物种的保存。免疫系统的特征是不同级别的复杂性：通过流体细胞群体进行网络组织，具有间隔和内部内部信号传导，淋巴细胞受体的多样性，细胞克隆型的选择和细胞水平的竞争，免疫组织内部的迁移和相互作用，以及通过生物体调节，在适应环境中通过稳态调节，通过生物体调节进行迁移。
Understanding and modelling the complexity of the immune system is a challenge that is shared by the ImmunoComplexiT$^1$ thematic network from the RNSC. The immune system is a complex biological, adaptive, highly diversified, self-organized and degenerative cognitive network of entities, allowing for a robust and resilient system with emergent properties such as anamnestic responses and regulation. The adaptive immune system has evolved into a complex system of billions of highly diversified lymphocytes all interacting as a connective dynamic, multi-scale organised and distributed system, in order to collectively insure body and species preservation. The immune system is characterized by complexity at different levels: network organisation through fluid cell populations with inter-and intra-cell signalling, lymphocyte receptor diversity, cell clonotype selection and competition at cell level, migration and interaction inside the immunological tissues and fluid dissemination through the organism, homeostatic regulation while rapid adaptation to a changing environment.
