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Orthologous gene-expression profiling in multi-species models: search for candidate genes

Dmitry N Grigoryev1, Shwu-Fan Ma1, Rafael A Irizarry2, Shui Qing Ye3, John Quackenbush4 and Joe GN Garcia5*

Author Affiliations

1 Center for Translational Respiratory Medicine, Gene Expression Profiling Core, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Hopkins Bayview Circle, Baltimore, MD 21224, USA

2 Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA

3 Center for Translational Respiratory Medicine, Johns Hopkins University, Eastern Ave, Baltimore, MD 21224, USA

4 The Institute for Genomic Research, Medical Center Drive, Rockville, MD 20850, USA

5 Center for Translational Respiratory Medicine, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, East Monument Street, Baltimore, MD 21287, USA

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Genome Biology 2004, 5:R34  doi:

Published: 27 April 2004

Abstract

Microarray-driven gene-expression profiles are generally produced and analyzed for a single specific experimental model. We have assessed an analytical approach that simultaneously evaluates multi-species experimental models within a particular biological condition using orthologous genes as linkers for the various Affymetrix microarray platforms on multi-species models of ventilator-associated lung injury. The results suggest that this approach may be a useful tool in the evaluation of biological processes of interest and selection of process-related candidate genes.