Hodges Emily, Smith Andrew D, Kendall Jude, Xuan Zhenyu, Ravi Kandasamy, Rooks Michelle, Zhang Michael Q, Ye Kenny, Bhattacharjee Arindam, Brizuela Leonardo, McCombie W Richard, Wigler Michael, Hannon Gregory J, Hicks James B
Watson School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Genome Res. 2009 Sep;19(9):1593-605. doi: 10.1101/gr.095190.109. Epub 2009 Jul 6.
DNA methylation stabilizes developmentally programmed gene expression states. Aberrant methylation is associated with disease progression and is a common feature of cancer genomes. Presently, few methods enable quantitative, large-scale, single-base resolution mapping of DNA methylation states in desired regions of a complex mammalian genome. Here, we present an approach that combines array-based hybrid selection and massively parallel bisulfite sequencing to profile DNA methylation in genomic regions spanning hundreds of thousands of bases. This single molecule strategy enables methylation variable positions to be quantitatively examined with high sampling precision. Using bisulfite capture, we assessed methylation patterns across 324 randomly selected CpG islands (CGI) representing more than 25,000 CpG sites. A single lane of Illumina sequencing permitted methylation states to be definitively called for >90% of target sties. The accuracy of the hybrid-selection approach was verified using conventional bisulfite capillary sequencing of cloned PCR products amplified from a subset of the selected regions. This confirmed that even partially methylated states could be successfully called. A comparison of human primary and cancer cells revealed multiple differentially methylated regions. More than 25% of islands showed complex methylation patterns either with partial methylation states defining the entire CGI or with contrasting methylation states appearing in specific regional blocks within the island. We observed that transitions in methylation state often correlate with genomic landmarks, including transcriptional start sites and intron-exon junctions. Methylation, along with specific histone marks, was enriched in exonic regions, suggesting that chromatin states can foreshadow the content of mature mRNAs.
DNA甲基化可稳定发育过程中编程的基因表达状态。异常甲基化与疾病进展相关,是癌症基因组的一个常见特征。目前,很少有方法能够在复杂哺乳动物基因组的特定区域进行DNA甲基化状态的定量、大规模、单碱基分辨率图谱绘制。在此,我们提出一种方法,该方法结合基于阵列的杂交捕获和大规模平行亚硫酸氢盐测序,以分析跨越数十万碱基的基因组区域中的DNA甲基化。这种单分子策略能够以高采样精度定量检测甲基化可变位点。使用亚硫酸氢盐捕获技术,我们评估了324个随机选择的代表超过25,000个CpG位点的CpG岛的甲基化模式。Illumina测序的单条泳道能够明确确定>90%的目标位点的甲基化状态。通过对从所选区域的一个子集扩增的克隆PCR产物进行常规亚硫酸氢盐毛细管测序,验证了杂交捕获方法的准确性。这证实了即使是部分甲基化状态也能被成功检测到。对人类原代细胞和癌细胞的比较揭示了多个差异甲基化区域。超过25%的岛屿显示出复杂的甲基化模式,要么是整个CpG岛由部分甲基化状态定义,要么是在岛内特定区域块中出现对比鲜明的甲基化状态。我们观察到甲基化状态的转变通常与基因组标记相关,包括转录起始位点和内含子 - 外显子连接点。甲基化与特定的组蛋白标记一起在外显子区域富集,这表明染色质状态可以预示成熟mRNA的含量。