When microarray gene expression data are used to predict multiple drug resistance(MDR)phenotypes for anticancer drugs,the normalization strategy and the quality of the selected signature genes are usually the main causes of inconsistency among different experiments.A stable statistical drug response prediction model is urgently required in oncology.In this study,the microarray gene expression data of multiple cancer cell lines with MDR was analyzed.For each probe-set,the expression value was defined as present/absent(1/0)and was classified into a gene set defined with protein domain organization(PDO).After employing the gene content method of phylogenetic analysis,a phylogenetic model(cell tree)for MDR phenotype prediction was built at the PDO gene set level.The results indicate that classification of cancer cell lines is predominantly affected by both the histopa-thological features and the MDR phenotype(paclitaxel and vinblastine).When applying this model to predict the MDR phenotype of independent samples,the phylogenetic model performs better than signature gene models.Although the utility of our procedure is limited due to sample heterogeneity,it still has potential application in MDR research,especially for hematological tumors or established cell lines.
LIU XmYiLI ZuoFengWEN JingRanCAI QingQingXU YeZHANG XiaoYan
高架十字迷宫(the elevated plus maze,EPM)是研究小鼠焦虑行为的重要实验,本文介绍了EPM的原理和实验步骤。将小鼠置于开臂闭臂接合处,面向开臂,通过录像记录分析小鼠在EPM的表现。结果发现,两种小鼠均可成功完成实验,C57小鼠在EPM内较不活跃,闭臂滞留时间占总时间百分比显著高于129Sv小鼠。应用EPM可以简单直观地分析小鼠焦虑行为。
