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基因芯片显著性分析方法在伯基特淋巴瘤分期特征分析中的应用

Application of Significance Analysis of Microarrays in Analyzing Feature of Burkitt Lymphoma Staging
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摘要 应用基因芯片显著性分析(SAM)方法,从1组伯基特(Burkitt)淋巴瘤的基因表达数据中,选取了与分期特征相关性比较显著的90个特征基因进行通路分析,发现在相关通路中频繁出现的9个特征基因同属于基因本体论(GO)中的信号转导子类,并且普遍具有与肿瘤发生发展机制相关的信号转导、细胞凋亡、免疫应答等多项功能.其中,有2项功能与伯基特淋巴瘤恶化相关是首次报道. Based on a set of gene expression data of Burkitt lymphoma, the method of significance analysis of microarrays (SAM) was used to select a group of 90 feature genes significantly related with AnnArbor staging of Burkitt lymphoma. Nine genes have been found most frequently appear in involved pathways of those 90 feature genes, falling into the Gene Ontology (GO) category of signal transduction and having common functions related with mechanisms of tumor origin or development. In those functions, two functions related with worse development of Burkitt lymphoma were first reported.
出处 《上海大学学报(自然科学版)》 CAS CSCD 北大核心 2008年第1期106-110,共5页 Journal of Shanghai University:Natural Science Edition
基金 上海大学系统生物所研究基金资助项目
关键词 基因表达谱 芯片显著性分析 肿瘤分期 特征基因 伯基特淋巴瘤 gene expression profile significance analysis of microarrays cancer staging feature gene Burkitt lyphoma
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