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Microarray Analysis in Drug Discovery: An Uplifting View of Depression

Genomic profiling provides insights into drug evaluation for diseases without defined molecular mechanisms or cellular assays. Levy provides a brief background in the development of microarray analysis and discussion of the application of this technique to pharmacogenomics. Highlighted is the microarray analysis of primary human neurons treated with antidepressants, antipsychotics, or opioid receptor agonists, demonstrating that these classes of drugs can be properly categorized by using two different statistical analysis methods: classification tree and random forest. Not only is microarray analysis valuable for drug evaluation and leading candidate development, but the genes identified as markers for the various drug classifications point to new directions for research into the underlying pathways responsible for human diseases, such as depression and psychosis.

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Resource Type: Diagram, Illustration, Journal article/Issue
Audience Level: Undergraduate upper division 15-16, Graduate, Professional (degree program)

Author and Copyright

Authors and Editors: Shawn E. Levy of Department of Biomedical Informatics, Vanderbilt University Medical Center
Publisher: American Association for the Advancement of Science
Format: application/pdf, image/gif, image/jpeg, text/html
Copyright and other restrictions: Yes
Cost: Yes


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