Predicting aberrant CpG island methylation

被引:192
作者
Feltus, FA
Lee, EK
Costello, JF
Plass, C
Vertino, PM [1 ]
机构
[1] Emory Univ, Sch Med, Dept Radiat Oncol, Atlanta, GA 30322 USA
[2] Emory Univ, Sch Med, Winship Canc Ctr, Atlanta, GA 30322 USA
[3] Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30205 USA
[4] Univ Calif San Francisco, Ctr Comprehens Canc, San Francisco, CA 94143 USA
[5] Ohio State Univ, Dept Med Microbiol & Immunol, Columbus, OH 43210 USA
关键词
D O I
10.1073/pnas.2037852100
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Epigenetic silencing associated with aberrant methylation of promoter region CpG islands is one mechanism leading to loss of tumor suppressor function in human cancer. Profiling of CpG island methylation indicates that some genes are more frequently methylated than others, and that each tumor type is associated with a unique set of methylated genes. However, little is known about why certain genes succumb to this aberrant event. To address this question, we used Restriction Landmark Genome Scanning to analyze the susceptibility of 1,749 unselected CpG islands to de novo methylation driven by overexpression of DNA cytosine-5-methyltransferase 1 (DNMT1). We found that although the overall incidence of CpG island methylation was increased in cells over-expressing DNMT1, not all loci were equally affected. The majority of CpG islands (69.9%) were resistant to de novo methylation, regardless of DNMT1 overexpression. In contrast, we identified a subset of methylation-prone CpG islands (3.8%) that were consistently hypermethylated in multiple DNMT1 overexpressing clones. Methylation-prone and methylation-resistant CpG islands were not significantly different with respect to size, C+G content, CpG frequency, chromosomal location, or promoter association. We used DNA pattern recognition and supervised learning techniques to derive a classification function based on the frequency of seven novel sequence patterns that was capable of discriminating methylation-prone from methylation-resistant CpG islands with 82% accuracy. The data indicate that CpG islands differ in their intrinsic susceptibility to de novo methylation, and suggest that the propensity for a CpG island to become aberrantly methylated can be predicted based on its sequence context.
引用
收藏
页码:12253 / 12258
页数:6
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