用生物信息学方法处理基因芯片结果

基因芯片是一种能够同时检测大量基因在同一组织中表达情况的有力工具.利用前期工作筛选的2210个鼻咽癌差异表达基因和Biocarta信号通路资源库,构建了一个基于信号通路的基因相互作用网络.通过统计学分析,进一步筛选出一批对该基因相互作用网络具有重大影响的基因(特别是RAN、CEL、RELA).随后,采用RT-PCR方法检测候选基因在鼻咽癌活检组织中的表达,发现RAN和CEL基因在高达80%的鼻咽癌组织中高表达.进一步将网络分析结果和ArrayXPath软件分析的结果比较,共计有40%(32/80)基因结果吻合,这验证了网络分析方法的有效性和可行性.最终探索建立了新的分析基因芯片的方法.

Bioinformatic Screening of cDNA Microarray Data

cDNA microarray technology is a powerful and efficient tool for large-scale screening differentially expressed genes simultaneously.By cDNA microarray,a total of 2 210 genes were found to be significantly up-or down-regulated in nasopharyngeal carcinoma(NPC) tissues,compared with normal nasopharynx(NP) tissues.Using the BioCarta database,a pathway-based network was constructed to visualize the relations between the genes obtained from the microarray data.With statistical analysis,a batch of genes were found(especially RAN,CEL,RELA genes) to have a significant influence on this pathway-based network.To verify the pathway network analysis results,RT-PCR was performed to detect the expression levels of RAN,CEL,RELA genes and it was found that RAN and CEL genes were significantly up-regulated in more than 80% of NPC samples.When the pathway-based network analysis results were further compared to the results obtained from ArrayXPath,a software for mapping and visualizing microarray data with integrated biological pathway resources available online,up to 40%(32/80) of genes were found to be identical,indicating the pathway-based network analysis was effective and feasible.Therefore,pathway based screening strategy should be a new way to analyze the high-throughput microarray data.