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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),zincfingerproteinZNF184(U6656),calmodulin(U12022),carboxypeptidaseM(BC022276),kataninp60(AF056022),calcineurinbindingproteincabin1(NM_012295),transducin-likeenhancerprotein(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。
Objective To compare and mine the gene expression profiles of hydatidiform mole and choriocarcinoma and screen for new genes related to malignant progression of choriocarcinoma. Methods Totally 3 cases of hydatidiform mole and choriocarcinoma in each group were detected by the gene chip of hydatidiform mole and choriocarcinoma respectively. The co-expression gene expression profile Hierarchical cluster analysis was used to find the candidate genes with similar expression trend. The bioinformatics methods were used to analyze the electronic Northern analysis and preliminary analysis of the gene structure function. The three screening genes were initially identified by semi-quantitative RT-PCR. Results A total of 52 co-expression genes were found in all 3 cases of choriocarcinoma, and 19 choriocarcinoma-related genes were screened by cluster analysis, including dynamin (L07807), zincfingerproteinZNF184 (U6656), calmodulin (U12022 carboxypeptidase M (BC022276), kataninp60 (AF056022), calcineurin binding protein 1CIN1 (NM_012295), transducin-like enhancer protein (TLE1, M99435) and the like. Conclusion Through the analysis and mining of gene expression profiling data, the choriocarcinoma-related genes were initially screened, providing new clues for finding the key genes of choriocarcinoma.