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Richard R Almon1, Josephine Chen, Grayson Snyder
1Department of Biological Sciences, SUNY at Buffalo, Buffalo, NY 14260, USA. almon@eng.buffalo.edu
Pharmacogenomics
|November 5, 2003
Summary
This study presents novel gene expression time series data for methylprednisolone drug response in rats. These data enable pharmacokinetic/pharmacodynamic (PK/PD) and pharmacogenomic evaluations without specialized software.
Area of Science:
- Pharmacology
- Genomics
- Bioinformatics
Background:
- Gene microarrays are crucial for analyzing gene expression changes.
- Current microarray analysis for drug response is limited to endpoint comparisons, hindering PK/PD modeling.
- PK/PD modeling requires simultaneous pharmacokinetic and time-series gene expression data.
Purpose of the Study:
- To describe unique, extended microarray time-series data for in vivo methylprednisolone response in rat liver and skeletal muscle.
- To make these data accessible online in a single gene query format.
- To facilitate PK/PD and pharmacogenomic evaluation of drug response.
Main Methods:
- Collected extended microarray time-series data from rat liver and skeletal muscle following a single methylprednisolone dose.
- Made data available online via a single gene query interface.
- Utilized existing published pharmacokinetic data and receptor models.
Main Results:
- Generated and provided online two comprehensive gene expression time series datasets.
- Demonstrated that the data can be analyzed without prior specialized microarray knowledge or software.
- Confirmed the data's suitability for PK/PD and pharmacogenomic analysis.
Conclusions:
- The presented gene expression time-series data are a valuable resource for drug response research.
- These data uniquely enable integrated PK/PD and pharmacogenomic evaluations.
- The accessibility and ease of use of the data will advance the study of drug effects on gene expression.