Boolean Modeling of Cellular and Molecular Pathways Involved in Influenza Infection.

ABSTRACT: Systems virology integrates host-directed approaches with molecular profiling to understand viral pathogenesis. Self-contained statistical approaches that combine expression profiles of genes with the available databases defining the genes involved in the pathways (gene-sets) have allowed characterization of predictive gene-signatures associated with outcome of the influenza virus (IV) infection. However, such enrichment techniques do not take into account interactions among pathways that are responsible for the IV infection pathogenesis. We investigate dendritic cell response to seasonal H1N1 influenza A/New Caledonia/20/1999 (NC) infection and infer the Boolean logic rules underlying the interaction network of ligand induced signaling pathways and transcription factors. The model reveals

SUBMITTER: Anderson CS 

PROVIDER: S-EPMC4769743 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature