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Identifying neuroinflammation in omics datasets with a computational biological network model of reactive astrogliosis

Neuroimmune responses by astrocytes and microglia play a key role in the pathogenesis of neurodegenerative diseases. Reactive astrocytes have diverse responses to triggers and can release a wide variety of effector molecules in an insult‐specific manner. Identifying key mechanisms of reactive astrogliosis in large datasets is key to finding new therapeutic targets, but the interpretation of such datasets is challenging. Causal biological network (CBNs) models assemble available biological knowledge in a structured computable format that facilitates mechanistic interpretation of molecular data in a well‐defined biological context. Here, we present a CBN model of pan‐reactive astrogliosis genes as a new tool to explore and quantify the extent of reactive astrogliosis based on transcriptomic data and identify key molecular drivers of the phenotype.