Transcriptional interactions during smallpox infection and identification of early infection biomarkers.

摘要: Smallpox is a deadly disease that can be intentionally reintroduced into the human population as bioweapon. While host gene expression microarray profiling used to detect infection, analysis of this information using unsupervised and supervised classification techniques produce contradictory results. Here, we present novel computational approach incorporate molecular genome annotation features are key for identifying early infection biomarkers (EIB). Our identified 58 EIBs expressed in peripheral blood mononuclear cells (PBMCs) collected from 21 cynomolgus macaques (Macaca fascicularis) infected with two variola strains via aerosol intravenous exposure. The level these was correlated progression severity. No overlap between co-expression protein interaction data reported public databases found. This suggests pathogen-specific re-organization networks occurs during infection. To identify potential genome-wide interactions humans, performed domain all smallpox proteins. We found only 55 161 domains also genome. These co-occurring mostly represented proteins involved coagulation, complement activation, angiogenesis, inflammation, hormone transport. Several within category suggest new targets development therapeutic countermeasures.