Analysis of Drug Pharmacology towards Predicting Drug Behavior by Expression Profiling Using High-Density Oligonucleotide Arrays
| Autor: | Elina Khurgin, Brian B. Hoffman, Mark Durst, Thomas R. Gingeras, Jing-Tyan Ma, David J. Balaban, Jing-Shan Hu, Vivi Truong, Reinhold Kerb |
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| Rok vydání: | 2006 |
| Předmět: |
Drug
Drug-Related Side Effects and Adverse Reactions media_common.quotation_subject Molecular phenotype Gene Expression High density Biology Pharmacology Muscle Smooth Vascular General Biochemistry Genetics and Molecular Biology Cell Line Substrate Specificity History and Philosophy of Science Toxicity Tests Gene expression Humans RNA Messenger Oligonucleotide Arrays Gene Oligonucleotide Array Sequence Analysis media_common Gene Expression Profiling General Neuroscience Gene expression profiling Drug development Algorithms Software Signal Transduction |
| Zdroj: | Annals of the New York Academy of Sciences. 919:9-15 |
| ISSN: | 1749-6632 0077-8923 |
| DOI: | 10.1111/j.1749-6632.2000.tb06862.x |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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