摘要
目的从基因转录组水平揭示葡萄膜黑色素瘤的发病机制,为临床诊疗提供新工具。方法在公共基因芯片数据库GEO中找到葡萄膜黑色素瘤的相关基因芯片数据,数据经以2为底的对数转换及标准化处理后,找到黑色素瘤中的差异表达基因。通过DAVID基因功能注释和功能分类对这些基因进行生物学和统计学分析。结果在葡萄膜黑色素瘤组织中共找到265个差异表达基因,包括上调基因95个,下调基因170个。基因富集分析结果显示,这些基因的功能大致分为细胞运输、细胞骨架结构、细胞周期、信号识别及转导、细胞分化调控等。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,黑色素瘤组织中多种基因的表达发生了改变,为确定黑色素瘤的早期诊断标志与新治疗靶位提供了新的思路。
Objective To better understand the molecular pathogenesis of uveal melanoma,and providenovel means for clinical diagnosis and treatment of this malignancy.Methods The gene chip data of uvealmelanoma were obtained from GEO database and statistically analyzed after log2transformation and normalizationto identify the differential expression genes related to uveal melanoma,follewed by bioinformatics analysisthrough functional annotation and functional clustering of DAVID.Results Two hundred and sixty-five differentiallyexpressed genes were identified in uveal melanoma samples,including95up-regulated and170downregulatedgenes.These genes were associated with the cellular transportation,cell skeletons,cell cycles,signalrecognition and transduction and nervous system regulation.Conclusion Bioinformatics analysis can contributeto analyzing the gene chip data effectively.The pathogenesis of uveal melanoma involves abnormal expressionof multiple genes,and these data may benefit further investigations of the early diagnosis and treatment of themalignancy.
作者
孙晓雨
杨春花
Xiaoyu SUN;Chunhua YANG(Department of Basic Medicine, Ji'nan Evidence Based Medical Science Research Center of Shandong, Ji'nan 250022, China)
出处
《临床检验杂志（电子版）》
2017年第1期31-36,共6页
Clinical Laboratory Journal(Electronic Edition)
