1 Faculty of Medicine, The Hebrew University, School of Computer Science and Engineering, Jerusalem, Israel,
2 Department of Molecular Genetics and Biotechnology, Faculty of Medicine, The Hebrew University, Jerusalem, Israel,
3 Department of Computer science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel,
4 University of Pittsburgh School of Medicine, Dorothy P and Richard P Simmons Center for Interstitial Lung Diseases, Division of Pulmonary and Critical Care Medicine, Pittsburgh, PA, USA
* To whom correspondence should be addressed. E-mail: kaminskin{at}upmc.edu.
The prevalence and morbidity of asthma, a chronic inflammatoryairway disease, is increasing. Animal models provide a meaningfulbut limited view of the mechanisms of asthma in humans. To providea systems level view of asthma we compiled a gene expressioncompendium from five publicly available mouse microarray datasetsand a gene knowledge base of 4305 gene annotation sets. Usingthis collection we generated a high level map of the functionalthemes that characterize animal models of asthma, dominatedby innate and adaptive immune response. We used Module Networksanalysis to identify co-regulated gene modules. The resultingmodules reflect four distinct responses to treatment, includingearly response, general induction, repression and IL13 dependentresponse. One module with a persistent induction in responseto treatment is mainly composed of genes with suggested rolesin asthma, suggesting a similar role for the other module members.Analysis of IL13 dependent response using protein interactionnetworks highlights a role for TGF1 as a key regulator of asthma.Our analysis demonstrates the discovery potential of systemslevel approaches and provides a framework for applying suchapproaches to asthma.
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