Novkovic Mario, Onder Lucas, Bocharov Gennady, Ludewig Burkhard
Institute of Immunobiology, Kantonsspital St. Gallen, Rorschacherstrasse 95, St. Gallen, 9007, Switzerland.
Institute of Numerical Mathematics, Russian Academy of Sciences, Gubkina Street 8, Moscow, 119333, Russian Federation.
Methods Mol Biol. 2017;1591:43-57. doi: 10.1007/978-1-4939-6931-9_4.
Secondary lymphoid organs have developed segregated niches that are able to initiate and maintain effective immune responses. Such global organization requires tight control of diverse cellular components, specifically those that regulate lymphocyte trafficking. Fibroblastic reticular cells (FRCs) form a densely interconnected network in lymph nodes and provide key factors necessary for T cell migration and retention, and foster subsequent interactions between T cells and dendritic cells. Development of integrative systems biology approaches has made it possible to elucidate this multilevel complexity of the immune system. Here, we present a graph theory-based analysis of the FRC network in murine lymph nodes, where generation of the network topology is performed using high-resolution confocal microscopy and 3D reconstruction. This approach facilitates the analysis of physical cell-to-cell connectivity, and estimation of topological robustness and global behavior of the network when it is subjected to perturbation in silico.
二级淋巴器官已经形成了隔离的生态位,能够启动和维持有效的免疫反应。这种整体组织需要对多种细胞成分进行严格控制,特别是那些调节淋巴细胞运输的成分。成纤维网状细胞(FRCs)在淋巴结中形成密集互连的网络,并提供T细胞迁移和滞留所需的关键因子,促进T细胞与树突状细胞之间的后续相互作用。整合系统生物学方法的发展使得阐明免疫系统的这种多层次复杂性成为可能。在这里,我们展示了基于图论的小鼠淋巴结FRC网络分析,其中使用高分辨率共聚焦显微镜和3D重建来生成网络拓扑。这种方法有助于分析物理细胞间连接性,并估计网络在计算机模拟中受到扰动时的拓扑鲁棒性和全局行为。