Almon Richard R, Chen Josephine, Snyder Grayson, DuBois Debra C, Jusko William J, Hoffman Eric P
Department of Biological Sciences, SUNY at Buffalo, Buffalo, NY 14260, USA.
Pharmacogenomics. 2003 Nov;4(6):791-9. doi: 10.1517/phgs.4.6.791.22816.
Gene microarrays are becoming a key tool for the analysis of changes in gene expression in a variety of conditions. Use of microarrays to analyze drug responses has mainly been restricted to comparing treated versus untreated samples at a few time points. Such data do not permit the use of another important tool, pharmacokinetic/pharmacodynamic (PK/PD) modeling. Such modeling requires the simultaneous analysis of pharmacokinetic data along with time series data on dynamic responses. This report describes data obtained from two extended microarray time series (rat liver and skeletal muscle) for the in vivo responses to a single bolus dose of methylprednisolone that are uniquely available online in a single gene query format. Use of these data does not require any a priori knowledge or software normally necessary for the analysis of microarray data. Since the pharmacokinetic data and receptor model have been published, the results are amenable to PK/PD and pharmacogenomic evaluation.
基因微阵列正成为分析各种条件下基因表达变化的关键工具。利用微阵列分析药物反应主要局限于在少数几个时间点比较处理过的样本与未处理的样本。这样的数据无法使用另一个重要工具,即药代动力学/药效学(PK/PD)建模。这种建模需要同时分析药代动力学数据以及动态反应的时间序列数据。本报告描述了从两个扩展的微阵列时间序列(大鼠肝脏和骨骼肌)获得的数据,这些数据是关于单次静脉注射甲泼尼龙的体内反应,以单一基因查询格式在网上独家提供。使用这些数据不需要通常分析微阵列数据所需的任何先验知识或软件。由于药代动力学数据和受体模型已经发表,这些结果适用于PK/PD和药物基因组学评估。