摘要
目的筛查人大肠癌组织与相应正常大肠粘膜差异表达基因。方法应用美国AffymetrixHG-U133寡核苷酸芯片(代表迄今所知的32264个人类全基因,包括19308个已知的人类基因和12956个EST簇)检测9例大肠癌组织及相应正常大肠粘膜基因表达谱,并以实时荧光定量PCR技术对基因芯片检测结果进行验证;综合运用交集补集、秩和检验及t检验比较两组表达谱数据。结果获得大肠癌组织与正常大肠粘膜组织差异表达基因和ESTs3125个(包括肿瘤上调基因ESTs974个、下调基因ESTs2151个);大肠癌组织表达而相应正常粘膜不表达的ESTs245个;大肠癌组织不表达而正常粘膜表达的ESTs162个;最重要的大肠癌差异表达基因ESTs17个。本研究所筛得之大肠癌差异表达基因80.1%未见报道。结论综合运用交集补集分析、t检验、秩和检验对基因谱数据进行挖掘的策略,可为寻找大肠癌分子标记物和从整体上探讨大肠癌发生的分子机制奠定基础。
Objective To screen the differentially expressed genes in human colorectal cancer （CRC） tissue. Methods Affymetrix oligonucleotide microarrays HG-U 133 representing 32 264 human genes including 19 308 known genes and 12 956 expressed sequence tags （ESTs） were used to detect the gene expressions of CRC tissue paired with normal mucosa tissue. The microarray findings were confirmed by real-time quantitative reverse transcriptase-polymerase chain reaction （FQ-PCR）. The gene expression profiles were analyzed by intersection and complement, rank sum test and t test. Results Totally 3 125 genes and ESTs expressed differentially were detected in normal and cancer tissues, consisting of 974 up-regulated and 2 151 down-regulated genes with 247 ESTs present in CRC tissue and absent in normal mucosa and 162 ESTs absent in CRC tissue but present in normal mucosa. A percent of 80.1% of the differentially expressed genes were not reported in the literatures. Conclusion The strategy of data mining provides a foundation for filtering molecular markers and interpreting molecular carcinogenesis of CRC.
出处
《第一军医大学学报》
CSCD
北大核心
2005年第9期1109-1113,共5页
Journal of First Military Medical University
基金
国家"973"项目(2001CB510208)
军队"十五"医学科研基金重点项目(04Z041)~~
关键词
大肠癌
基因表达谱
数据挖掘
colorectal carcinoma
gene expression profiles
data mining
作者简介
许红民（1957-），女，2004年毕业于第一军医大学．博士．现为解放军总医院第二附属医院副院长，主任医师，教授．享受政府特殊津贴，电话．．010—66775199．E．mail：xuhm301@yahoo．com，cn
