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Background: Escherichia coli(E. coli) resides inside the human body and during the course of infection is exposed to reactive nitrogen species (RNS) such as nitric oxide (NO) and S-nitrosoglutathione (GSNO). NO plays an important role in the mammalian immune system and regulation of blood flow. GSNO sometimes serves as a donor of NO, but its thiol chemistry also has effects distinct from NO. This work applies the recently developed Principal Component Analysis (PCA) technique of Rollins et al. (in review) in determining NO and GSNO response genes in an E. coli network. PCA is a powerful data mining method that is able to analyze and extract critical information from large microarray data sets even though the number of genes is much greater than the number of experimental runs. Result: The application of Rollins et al. technique identified a signature of NO-specific and GSNOspecific genes, containing those that were previously identified by Hyduke et. al. (2007) and Jarboe et. al. (2008) as well as new genes which may affect NO and GSNO activity. Three genes not previously identified as affecting NO and GSNO response were selected for experimental analysis to evaluate the identification ability of

A novel principal component analysis method for identifying differentially expressed gene signatures