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应用基因芯片技术筛查卵巢癌相关基因
引用本文:Chang XH,Cheng YX,Zhang XY,Cui H,Feng J. 应用基因芯片技术筛查卵巢癌相关基因[J]. 中华妇产科杂志, 2003, 38(6): 322-324
作者姓名:Chang XH  Cheng YX  Zhang XY  Cui H  Feng J
作者单位:100044,北京大学人民医院妇科肿瘤中心
摘    要:目的 探讨卵巢癌组织中相关基因的差异表达。方法 应用含有512条人类基因的cDNA芯片,检测卵巢癌组织和正常组织中相关差异表达的基因。结果 共筛查与卵巢癌相关的差异表达的基因37条,其中14条基因表达增加(上调),23条基因表达减少(下调)。结论 应用基因芯片技术,可筛查出新的卵巢癌相关基因。

关 键 词:基因芯片技术 筛查 卵巢癌 相关基因
修稿时间:2002-11-22

Monitoring novel ovarian carcinoma associated genes using cDNA expression microarray
Chang Xiao-hong,Cheng Ye-xia,Zhang Xin-yan,Cui Heng,Feng Jie. Monitoring novel ovarian carcinoma associated genes using cDNA expression microarray[J]. Chinese Journal of Obstetrics and Gynecology, 2003, 38(6): 322-324
Authors:Chang Xiao-hong  Cheng Ye-xia  Zhang Xin-yan  Cui Heng  Feng Jie
Affiliation:Gynecologyic Oncology Center, People's Hospital, Peking University, Beijing 100044, China.
Abstract:Objective To explore the gene expression pattern of sample of human ovarian carcimoma Method The difference in gene expression between normal and neoplastic human ovarian tissues were investigated,we described the assembly and utilization of a 512 member cDNA microarray Result Thirty seven genes expressed in ovarian cancer were screened out,14 genes were up regulated,23 genes were down regulated Conclusion cDNA microarray for analysis of gene expression pattern is an effective method to identify novel ovarian cancer associated genes
Keywords:Ovarian noplasms  Oligonucleotide array sequence analysis  Gene expression profiling  Gene expression regulation  neoplastic
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