Microarrays in Parkinson’s Disease: A Systematic Approach

Abstract

Neurological disease (ND) is one of the greatest challenges facing our population, from medical, financial, and social perspectives. The application of new research approaches to understand the underlying pathogenesis of ND is critical. In this article, we review the use of microarray analysis in Parkinson's disease (PD). Microarrays have tremendous power, simultaneously querying the expression of tens of thousands of genes from a given biological sample. Coupled with impressive advances in statistical tools for analyzing large, complex data sets, well-designed microarray experiments are poised to make a big impact in the field of ND. Parkinson's disease is a devastating neurodegenerative disease well suited to a systems-based microarray analysis. Genetic and environmental rodent models of PD emulate many of the cardinal features of human PD, providing the unique opportunity to compare gene expression profiles from different etiologies of the same disease. The elucidation of important gene expression patterns during disease will make possible identification of genetic susceptibility markers, biomarkers of disease progression, and new therapeutic targets.