非小细胞肺癌mRNA的表达谱分析

Analysis of mRNA expression profiles in non-small cell lung cancer

目的检测非小细胞肺癌(NSCLC)组织和正常肺组织中mRNA的表达差异,并进行生物信息学分析。方法采用基因芯片技术对3例NSCLC组织和3例正常肺组织的mRNA进行检测,筛选差异表达基因,进一步对差异表达基因进行Gene Ontoloty(GO)分析和信号通路分析。结果在20 716条目的基因中共发现两种组织差异表达基因896条,其中593条基因表达增加,303条基因表达降低;生物信息学分析表明上述差异性表达的mRNA参与了NSCLC重要的生物学调节功能和通路。结论基因芯片技术可以筛选出NSCLC组织和正常肺组织间差异表达的基因,mRNA在NSCLC组织和正常肺组织间的表达水平有明显差异,差异性表达的mRNA参与了NSCLC重要的生物学功能。

Objective To investigate the expression profiles of mRNA between non-small cell lung cancer（NSCLC） tissues and normal lung tissues, and analyze bioinformatics information. Methods Gene microarray was used to explore mRNA expression profile in 3 cases of NSCLC tissues（ NSCLC group） and 3 normal lung tissues（normal group）. The differentially expressed genes were selected and Gene Ontoloty（GO） analysis was performed as well as path way analysis. Results Among 20 716 genes, 896 differentially expressed mRNAs were found, 593 mRNAs were upregulated and 303 mRNAs were downregulated in the NSCLC group compared with the normal group, respectively. Bioinformatics analysis revealed that differential expression mRNA involved in significant biological regulatory function and pathways. Conclusion Genome microarray can detect differentially expressed genes in NSCLC tissues and normal lung tissues. Patterns of gene expression in the NSCLC tissues and normal lung tissues are significant different. The differential expression mRNAs were crucial in significant biological function.