应用生物信息学技术筛查绒毛膜癌相关基因

南方医科大学学报 ›› 2005, Vol. 25 ›› Issue (01): 1-6.

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应用生物信息学技术筛查绒毛膜癌相关基因

李学农¹, 李亚玲¹, 刘国炳², 丁彦青¹

1. 南方医科大学病理学教研室, 广东广州510515;
2. 南方医科大学南方医院妇产科, 广东广州510515

出版日期:2005-01-20 发布日期:2005-01-20
基金资助:
收稿日期:2004-10-26。
基金项目:Supported by National Natural Science Foundation of China(30170486)通讯作者:Li Xue-nong,PhD,medical Professor,Tel:020-61647807,Fax:020-61641646,E-mail:leexue0@163.com

Selection of choriocarcinoma-associated genes using bioinformatics

LI Xue-nong¹, LI Ya-ling¹, LIU Guo-bing², DING Yan-qing¹

1. 南方医科大学病理学教研室, 广东广州510515;
2. 南方医科大学南方医院妇产科, 广东广州510515

Online:2005-01-20 Published:2005-01-20

摘要/Abstract

摘要： 目的比较和挖掘葡萄胎、绒毛膜癌基因表达谱数据,筛选与绒毛膜癌恶性演进相关的新基因。方法分别以葡萄胎、绒毛膜癌为检测组,均以正常胎盘绒毛为对照组,在对两组各3例葡萄胎、绒毛膜癌进行基因芯片检测的基础上,对其共表达基因表达谱数据进行分层聚类分析,找到有相似表达趋势的候选基因,应用生物信息学方法,进行电子Northern分析及基因结构功能初步分析,用半定量RT-PCR技术对3个筛选基因进行初步鉴定。结果在所有3例绒毛膜癌基因表达数据中找到共表达候选基因52条,经聚类分析初步筛选出绒毛膜癌相关基因19条,主要包括dynamin(L07807),zinc finger protein ZNF184(U6656),calmodulin(U12022),carboxypeptidase M(BC022276),kataninp60(AF056022),calcineurin binding protein cabin1(NM_012295),transducin-like enhancer protein(TLE1,M99435)等。结论通过对基因表达谱数据的分析和挖掘,初步筛选了绒毛膜癌相关基因,为寻找绒毛膜癌发生与演进的关键基因提供了新的线索。

Abstract: Objective To analyze the data of gene expression profiles of choriocarcinoma and screen for choriocarcinoma-related genes. Methods Human cDNA expression microarray containing 4 096 genes was used to study the gene expression profiles in specimens of complete hydatidiform moles (n=3) and choriocarcinomas (n=3), with normal placental villi serving as the control group. The candidate genes with similar expression profiles were identified by hierarchical cluster analysis, and their expressions in normal and neoplastic tissues analyzed by electronic Northern analysis and other bioinformatics methods. Three selected genes were analyzed by β-actin semiquantitative reverse transcriptase-PCR to confirm the data. Results A total of 52 coexpressed candidate genes were identified from the gene expression data derived from the choriocarcinoma specimens, of which 19 genes were selected as choriocarcinoma-related genes by further cluster analysis, such as dynamin (L07807), katanin p60 (AF056022), zinc finger protein ZNF184 (U6656), calmodulin (U12022), carboxypeptidase M (BC022276), calcineurin-binding protein cabin 1 (NM_012295) and transducin-like enhancer protein TLE1(M99435). Conclusion The identification of choriocarcinoma-related genes by cluster analysis provides new clues for seeking the key genes associated with the progression and metastasis of choriocarcinoma.

中图分类号:

R737.31

李学农¹, 李亚玲¹, 刘国炳², 丁彦青¹. 应用生物信息学技术筛查绒毛膜癌相关基因[J]. 南方医科大学学报, 2005, 25(01): 1-6.

LI Xue-nong¹, LI Ya-ling¹, LIU Guo-bing², DING Yan-qing¹. Selection of choriocarcinoma-associated genes using bioinformatics[J]. Journal of Southern Medical University, 2005, 25(01): 1-6.

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应用生物信息学技术筛查绒毛膜癌相关基因

Selection of choriocarcinoma-associated genes using bioinformatics

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