上海大学学报(自然科学版)

• 生命科学 • 上一篇    

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

高山,张红,尹京苑   

  1. 上海大学 生命科学学院,上海 200444
  • 收稿日期:2006-12-11 修回日期:1900-01-01 出版日期:2008-02-28 发布日期:2008-02-28
  • 通讯作者: 尹京苑

Application of Significance Analysis of Microarrays in Analyzing Feature of Burkitt Lymphoma Staging

GAO Shan, ZHANG Hong, YIN Jing-yuan   

  1. School of Life Sciences, Shanghai University, Shanghai 200444, China
  • Received:2006-12-11 Revised:1900-01-01 Online:2008-02-28 Published:2008-02-28
  • Contact: YIN Jing-yuan

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.

关键词: 伯基特淋巴瘤, 基因表达谱, 特征基因, 芯片显著性分析, 肿瘤分期

Abstract: 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.

Key words: Burkitt lymphoma, cancer staging, f
eature gene,
significance analysis of microarrays, gene expression profile

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