Network biology to uncover functional and structural of the immune

In the last two decades, advances in network science have facilitated the discovery of important systems' entities in diverse biological networks. This graph-based technique has revealed numerous emergent properties of a system that enable us to understand several complex biological processes including plant immune systems. With the accumulation of multiomics data sets, the comprehensive understanding of plant-pathogen interactions can be achieved through the analyses and efficacious integration of multidimensional qualitative and quantitative relationships among the components of hosts and their microbes. This review highlights comparative network topology analyses in plant-pathogen co-expression networks and interactomes, outlines dynamic network modeling for cell-specific immune regulatory networks, and discusses the new frontiers of single-cell sequencing as well as multiomics data integration that are necessary for unraveling the intricacies of plant immune systems.

Automated summary

Advancements in network science have aided in the discovery of key entities in various biological networks in the past two decades. Through the accumulation and analysis of multiomics datasets, comprehensive understanding of plant-pathogen interactions can be achieved. This review emphasizes the importance of comparative network topology analyses, dynamic network modeling, and the integration of single-cell sequencing and multiomics data for unraveling the complexities of plant immune systems.