Analysis of drug pharmacology towards predicting drug behavior by expression profiling using high-density oligonucleotide arrays.
An important aspect of the drug development process is prediction of efficacious and toxic side effects. Profiling of mRNA expression is a powerful approach to analyze the molecular phenotype of cells under various conditions, for example, in response to stimulation by compounds. We attempt to explore the approach of using expression profiling to identify patterns or fingerprints that are correlated with specific drug properties or behaviors. Identification of such expression patterns may also lead to revelation of the potential action mechanism of drugs and fingerprints indicative of certain drug efficacy or side effects. We describe here a strategy that was used to identify a set of genes whose differential expression pattern correlates with activation mode and target specificity of a specific group of drug compounds.
Hu
J S
JS
Affymetrix, Incorporated, Santa Clara, California 95051, USA. jing-shan_hu@affymetrix.com
Durst
M
M
Kerb
R
R
Truong
V
V
Ma
J T
JT
Khurgin
E
E
Balaban
D
D
Gingeras
T R
TR
Hoffman
B B
BB
D000465:Algorithms; D002460:Cell Line; D064420:Drug-Related Side Effects and Adverse Reactions / Q000235:genetics*; D015870:Gene Expression / Q000187:drug effects; D020869:Gene Expression Profiling; D006801:Humans; D009131:Muscle, Smooth, Vascular / Q000166:cytology / Q000187:drug effects / Q000378:metabolism; D020411:Oligonucleotide Array Sequence Analysis; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D015398:Signal Transduction / Q000235:genetics; D012984:Software; D013379:Substrate Specificity / Q000235:genetics; D018675:Toxicity Tests / Q000379:methods*
D012333:RNA, Messenger