高等学校化学学报 ›› 2005, Vol. 26 ›› Issue (3): 449.

• 研究简报 • 上一篇    下一篇

p16基因甲基化的芯片定量检测

沈佳尧1,2, 侯鹏1, 祭美菊1, 李松1, 何农跃1   

  1. 1. 苏州大学生命科学学院,苏州 215007;
    2. 东南大学生物科学与医学工程系,吴健雄实验室,南京 210096
  • 收稿日期:2004-02-25 出版日期:2005-03-10 发布日期:2005-03-10
  • 通讯作者: 何农跃(1958年出生),男,教授,博士生导师,从事基因芯片及材料化学研究.E-mail:nyhe1958@163.com E-mail:nyhe1958@163.com
  • 基金资助:

    国家“九七三”计划(批准号:G1998051204);江苏省高新技术项目(批准号:BG2001010);国家自然科学基金(批准号:60071001)资助.

A Methylation-specific Oligonuceotide Microarray for Quantitative Analysis of p16 Gene

SHEN Jia-Yao1,2, HOU Peng1, JI Mei-Ju1, LI Song1, HE Nong-Yue1   

  1. 1. Department of Biological Science and Medical Engineering, Chien-shiung Wu Laboratory, Southeast University, Nanjing 210096, China;
    2. College of Life Science, Suzhou University, Suzhou 215007, China
  • Received:2004-02-25 Online:2005-03-10 Published:2005-03-10

关键词: DNA甲基化, 荧光强度标准曲线, p16基因甲基化检测型基因芯片

Abstract: To quantitatively detect hypermethylation and to analyze methylation pattern, a methylation-specific oligonucleotide microarray for quantitative analysis was developed. The method used bisulfite-modified DNA as a template for PCR amplification, resulting in conversion of unmethylated cytosine, but not methylated cytosine, into thymine within CpG islands of interest. The amplified product, therefore, may contain a pool of DNA fragments with altered nucleotide sequences due to differential methylation status. A test sample was hybridized to a set of oligonucleotide arrays that discriminate methylated and unmethylated cytosine at specific nucleotide positions,and quantitative differences in hybridization were determined by fluorescence analysis. Four clinical samples of gastric cancer were quantitatively detected and methylation pattern of five methylated clones were analyzed with the methylation-specific oligonucleotide microarray. The results of microarray hybridization were in agreement with bisulfite genomic DNA sequencing. It showed that methylation-specific oligonucleotide microarray for quantitative analysis is a promising technique for mapping methylation changes in multiple CpG island loci and for generating epigenetic profiles in cancer.

Key words: DNA methylation, Standardization curve for fluorescence intensity, Methylation-specific oligonucleotide microarray for quantitative analysis

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