Document Detail

Microarray analysis in drug discovery: an uplifting view of depression.
MedLine Citation:
PMID:  14583588     Owner:  NLM     Status:  MEDLINE    
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.
Shawn E Levy
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Publication Detail:
Type:  Journal Article; Review     Date:  2003-10-28
Journal Detail:
Title:  Science's STKE : signal transduction knowledge environment     Volume:  2003     ISSN:  1525-8882     ISO Abbreviation:  Sci. STKE     Publication Date:  2003 Oct 
Date Detail:
Created Date:  2003-10-29     Completed Date:  2004-02-23     Revised Date:  2005-11-16    
Medline Journal Info:
Nlm Unique ID:  100964423     Medline TA:  Sci STKE     Country:  United States    
Other Details:
Languages:  eng     Pagination:  pe46     Citation Subset:  IM    
Department of Biomedical Informatics, Vanderbilt University Medical Center, 4th Floor EBL, 2209 Garland Avenue, Nashville, TN 37232-8340, USA.
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MeSH Terms
Antidepressive Agents / adverse effects,  pharmacokinetics*,  pharmacology*,  therapeutic use
Depression / drug therapy*,  genetics,  metabolism*
Drug Design
Drug Evaluation, Preclinical / trends
Oligonucleotide Array Sequence Analysis*
Pharmacogenetics / trends*
Reg. No./Substance:
0/Antidepressive Agents

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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