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The Journal of Immunology, 2009, 182, 6011 -6021
Copyright © 2009 by The American Association of Immunologists, Inc.
doi:10.4049/jimmunol.0804125

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A Network Modeling Approach to Analysis of the Th2 Memory Responses Underlying Human Atopic Disease1

Anthony Bosco, Kathy L. McKenna, Martin J. Firth, Peter D. Sly and Patrick G. Holt2

Telethon Institute for Child Health Research, and Centre for Child Health Research, Faculty of Medicine and Dentistry, The University of Western Australia, Perth, Western Australia, Australia

Complex cellular functions within immunoinflammatory cascades are conducted by networks of interacting genes. In this study, we employed a network modeling approach to dissect and interpret global gene expression patterns in allergen-induced Th cell responses that underpin human atopic disease. We demonstrate that a subnet of interconnected genes enriched for Th2 and regulatory T cell-associated signatures plus many novel genes is hardwired into the atopic response and is a hallmark of atopy at the systems level. We show that activation of this subnet is stabilized via hyperconnected "hub" genes, the selective disruption of which can collapse the entire network in a comprehensive fashion. Finally, we investigated gene expression in different Th cell subsets and show that regulatory T cell- and Th2-associated signatures partition at different stages of Th memory cell differentiation. Moreover, we demonstrate the parallel presence of a core element of the Th2-associated gene signature in bystander naive cells, which can be reproduced by rIL-4. These findings indicate that network analysis provides significant additional insight into atopic mechanisms beyond that achievable with conventional microarray analyses, predicting functional interactions between novel genes and previously recognized members of the allergic cascade. This approach provides novel opportunities for design of therapeutic strategies that target entire networks of genes rather than individual effector molecules.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1 This work was supported by the National Health & Medical Research Council of Australia and National Institutes of Health Grant 1R21AI78511-1.

2 Address correspondence and reprint requests to Dr. Patrick G. Holt, Division of Cell Biology, Telethon Institute for Child Health Research, PO Box 855, West Perth, Western Australia 6872, Australia. E-mail address: patrick{at}ichr.uwa.edu.au; anthonyb{at}ichr.uwa.edu.au

3 Abbreviations used in this paper: HDM, house dust mite; FDR, false discovery rate; qRT-PCR, quantitative real-time RT-PCR; SAM, significance analysis of microarray; TCM, central memory Th cell; TEM, effector memory Th cell; TN, naive Th cell; TTM, transitory memory Th cell; Treg, regulatory T cell.

4 The online version of this article contains supplemental material.







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