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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 email

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

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

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

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

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

author email corresponding author email

Genome Biology 2004, 5:R34

Published: 27 April 2004

Subject areas: Genome studies, Methods, Medicine, Evolution

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.


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