Disease-specific gene expression profiling in multiple models of lung disease.

ABSTRACT:

Rationale

Microarray technology is widely employed for studying the molecular mechanisms underlying complex diseases. However, analyses of individual diseases or models of diseases frequently yield extensive lists of differentially expressed genes with uncertain relationships to disease pathogenesis.

Objectives

To compare gene expression changes in a heterogeneous set of lung disease models in order to identify common gene expression changes seen in diverse forms of lung pathology, as well as relatively small subsets of genes likely to be involved in specific pathophysiological processes.

Methods

We profiled lung gene expression in 12 mouse models of infection, allergy, and lung injury. A linear model was used to estimate transcript expression changes for each model,

SUBMITTER: Lewis CC 

PROVIDER: S-EPMC2258439 | biostudies-literature | 2008 Feb

REPOSITORIES: biostudies-literature