Selection of choriocarcinoma-associated genes using bioinformatics
10.3321/j.issn:1673-4254.2005.01.001
- VernacularTitle:应用生物信息学技术筛查绒毛膜癌相关基因
- Author:
Xue-Nong LI
1
;
Ya-Ling LI
;
Guo-Bing LIU
;
Yan-Qing DING
Author Information
1. 南方医科大学
- Keywords:
choriocarcinoma;
complete hydatidiform mole;
gene expression profile;
cluster analysis;
bioinformatics
- From:
Journal of Southern Medical University
2005;25(1):1-6
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the data of gene expression profiles of choriocarcinoma and screen for choriocarcinomarelated 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), kataninp60 (AF056022), zinc fingerproteinZNF184 (U6656), calmodulin (U12022), carboxypeptidaseM (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.
