宫颈癌相关基因的筛选及生物信息学分析  

Screening for cervical cancer-related genes and their bioinformatics analysis

作　　者：陈数珍[1] 马文丽[1] 郑文岭[1] 

机构地区：[1]南方医科大学基因工程研究所,广东广州510515

出　　处：《南方医科大学学报》2008年第4期585-588,共4页Journal of Southern Medical University

基　　金：广东省生物芯片实验室建设项目(2004-B-60144)

摘　　要：目的从分子水平揭示宫颈癌的发病机制,为临床诊疗提供新工具。方法在公共基因芯片数据库GEO中找到宫颈癌的相关基因芯片数据,使用BRB-ArrayTools软件包对其进行统计学分析,找到宫颈癌相关基因;利用Panther在线分析软件对这些基因进行生物学分析。结果在宫颈癌组织共找到37条差异表达基因,上调23条,下调14条。这些基因的功能大致分为细胞骨架结构、转运载体、细胞信号转导、转录调控、细胞粘附、细胞凋亡等。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,宫颈癌的发生是由于多种基因表达改变所致,为确定宫颈癌的早期诊断标志与新治疗靶位开辟了新的思路。Objective To better understand the molecular pathogenesis of cervical cancer, and provide novel means for clinical diagnosis and treatment of this malignancy. Methods The gene chip data of cervical cancer were obtained from GEO database and statistically analyzed using BRB-ArrayTools to identify the genes related to cervical cancer with bioinformatics analysis using Panther software. Results Thirty-seven differentially expressed genes were identified in cervical, cancer samples, including 23 up-regnlated and 14 down-regnlated genes. These genes were associated with the cell skeletons transporters and such processes as cell signal transduction, transcriptional control, cell adhesion, and cell apoptosis. Conclusion Bioinformatics analysis can help with effective analysis of the gene chip data. The pathogenesis of cervical cancer involves abnormal expression of multiple genes, and these data may benefit further investigations of the early diagnosis and treatment of the malignancy.

关 键 词：宫颈肿瘤 差异表达 基因芯片 GEO 生物信息学 

分 类 号：R737.33[医药卫生—肿瘤]