Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers

摘要: Common inflammatome gene signatures as well disease-specific were identified by analyzing 12 expression profiling data sets derived from 9 different tissues isolated 11 rodent inflammatory disease models. The signature significantly overlaps with known drug targets and co-expressed modules linked to metabolic disorders cancer. A large proportion of genes in this are tightly connected tissue-specific Bayesian networks (BNs) built multiple independent mouse human cohorts. Both the corresponding consensus BNs highly enriched for immune response-related supported causal adiposity, adipokine, diabetes, aortic lesion, bone, muscle, cholesterol traits, suggesting nature a variety diseases. Integration uncovered 151 key drivers that appeared be more biologically important than non-drivers terms their impact on phenotypes. identification signature, its network architecture, not only highlights shared etiology but also pinpoints potential intervention various common