Nives Zimmermann, Elizabeth A Moulton, Bruce J Aronow, Emily E Muntel, ME Rothenberg Children's Hospital of Cincinnati, Cincinnati, OH Asthma is a complex chronic inflammatory disorder that involves coordinated actions of multiple pathways. In order to elucidate the interplay of these pathways, we studied gene expression profiles in a murine model of asthma using DNA microarray analysis with an Affymetrix gene chip. Sets of mice were sensitized and challenged with ovalbumin and lung RNA was hybridized to the microarray. Affymetrix and Genespring software programs were used to analyze genes that significantly changed in response to allergen. Overall, more genes had increased expression rather than decreased expression; however, only a select number of the total genes significantly changed. Analysis of 12,423 genes revealed a two-fold or greater change in only 3.41% of the total genes; 2.74% of genes increased and 0.67% decreased. Functional classification of differentially expressed genes showed immune-related genes predominantly in the increased group (39%) compared to the decreased group (7%). In contrast, genes involved in development and homeostasis composed the majority of decreased genes (59%), while only comprising 18% of the increased genes. Many of the dysregulated genes were already known to have a role in allergic responses (e.g. ehemokines), thus validating the experimental analysis. Interestingly, genes involved in pathways not previously implicated in allergic diseases, as well as unknown genes, were also significantly upregulated. Northern blot analysis was performed with representative genes identified as allergen-induced by microarray analysis (e.g. eotaxin-1, Adam-8, Cdc-2a and Bcl-3) and provided further verification of the utility of the experimental approach. Kinetic analysis was performed in which gene expression was studied at early (3hrs) and late (18hrs) time points following one or two allergen challenges. Distinct sets of genes were dysregulated at the different time points and there was only partial overlap of the identified genes. In summary, wide spectrum genomic analysis has identified a discrete set of genes involved in experimental asthma. Interestingly, the majority have not been previously implicated in asthma, providing important insight into the pathophysiology of allergic airway inflammation.