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目的利用生物信息学方法挖掘鼻咽癌上皮间充质转化(epithelial-mesenchymal transition,EMT)发生的潜在分子机制。方法从公共基因芯片数据库GEO(gene expression omnibus)中寻找并下载鼻咽癌的相关基因芯片数据,并使用Genclip软件对下载的数据进行分析,寻找鼻咽癌公共基因芯片数据中与EMT相关的基因,并用生物信息学方法对筛选出来的基因作进一步分析。结果在公共的鼻咽癌芯片数据中找到35个与EMT相关的差异表达基因,这些基因功能大致与细胞组分、细胞粘附、通信、信号转导、分化、运动、迁移以及细胞表面受体相关的信号转导等有关,这些功能往往都被认为与肿瘤的侵袭和转移有关。结论利用生物信息学的方法能有效分析基因芯片数据并获取生物内在信息。鼻咽癌EMT是由于多种基因表达改变所致,这为确定鼻咽癌早期转移诊断标志与预后的预示开辟了新的思路。
Objective To explore the potential molecular mechanism of epithelial-mesenchymal transition (EMT) in nasopharyngeal carcinoma using bioinformatics methods. Methods We searched for and downloaded the gene chip data from gene expression omnibus (GEO) and downloaded the data using Genclip software to find the genes related to EMT in nasopharyngeal carcinoma common gene microarray data The bioinformatics methods were used to further analyze the selected genes. RESULTS: Thirty-five EMT-related differentially expressed genes were found in public nasopharyngeal microarray data that roughly correlated with cellular components, cell adhesion, communication, signal transduction, differentiation, motility, migration and cell surface receptors Related signal transduction and other related, these functions are often considered to be related to tumor invasion and metastasis. Conclusion Bioinformatics methods can effectively analyze gene chip data and obtain biological intrinsic information. Nasopharyngeal carcinoma EMT is due to a variety of gene expression changes caused by nasopharyngeal carcinoma for the identification of early signs and prognosis of nasopharyngeal carcinoma has opened up a new idea.