Methylation profiling using degenerated oligonucleotide primer-PCR specific for genome-wide amplification of bisulfite-modified DNA

DNA methylation is one of the essential epigenetic processes that play a role in regulating gene expression. Aberrant methylation of CpG-rich promoter regions has been associated with many forms of human cancers. The current method for determining the methylation status relies mainly on bisulfite treatment of genomic DNA, followed by methylation-specific PCR (MSP). The difficulty in acquiring a methylation profiling often is limited by the amount of genomic DNA that can be recovered from a given sample, whereas complex procedures of bisulfite treatment further compromise the effective template for PCR analysis. To circumvent these obstacles, we developed degenerated oligonucleotide primer (DOP)-PCR to enable amplification of bisulfite-modified genomic DNA at a genome-wide scale. A DOP pair was specially designed as follows: first 3' DOP, CTCGAGCTGHHHHHAACTAC, where H is a mixture of base consisting of 50% A, 25% T, and 25% C; and second 5' DOP, CTCGAGCTGDDDDDGTTTAG, where D is a mixture of base consisting of 50% T, 25% G, and 25% A. Our results showed that bisulfite-modified DNAs from a cell line, cord blood cells, or cells obtained by laser capture microdissection were amplified by up to 1000-fold using this method. Subsequent MSP analysis using these amplified DNAs on nine randomly selected cancer-related genes revealed that the methylation status of these genes remained identical to that derived from the original unamplified template.     

利用分子量阵列平台进行特定序列甲基化分析的方法探讨

目的：探讨利用分子量阵列平台进行特定序列甲基化分析的方法。方法：通过对不同扩增条件和扩增效率及不同条件处理的质谱分析比较了MassArray平台进行甲基化分析的特点。结果：本研究通过与重亚硫酸盐测序结果比较证实,MassArray分子量阵列技术平台能够反映甲基化修饰的真实水平;通过不同条件下PCR扩增效率与甲基化分析的结果,发现扩增效率是制约MassArray分子量阵列技术平台甲基化分析的关键因素,而产物的放置时间和不同的处理没有明显影响甲基化分析。结论：Mas-sArray甲基化分析平台是高效快速检测甲基化修饰的平台,在使用过程中应该根据实际的实验条件,进行合理的质控。     

De novo quantitative bisulfite sequencing using the pyrosequencing technology

Current protocols for DNA methylation analysis are either labor intensive or limited to the measurement of only one or two CpG positions. Pyrosequencing is a real-time sequencing technology that can overcome these limitations and be used as an epigenotype-mapping tool. Initial experiments demonstrated reliable quantification of the degree of DNA methylation when 2-6 CpGs were analyzed. We sought to improve the sequencing protocol so as to analyze as many CpGs as possible in a single sequencing run. By using an improved enzyme mix and adding single-stranded DNA-binding protein to the reaction, we obtained reproducible results for as many as 10 successive CpGs in a single sequencing reaction spanning up to 75 nucleotides. A minimum amount of 10 ng of bisulfite-treated DNA is necessary to obtain good reproducibility and avoid preferential amplification. We applied the assay to the analysis of DNA methylation patterns in four CpG islands in the vicinity of IGF2 and H19 genes. This allowed accurate and quantitative de novo sequencing of the methylation state of each CpG, showing reproducible variations of methylation state in contiguous CpGs, and proved to be a useful adjunct to current technologies.     

Development of a multiplex methylation specific PCR suitable for (early) detection of non-small cell lung cancer

Lung cancer is a worldwide health problem and a leading cause of cancer-related deaths. Silencing of potential tumor suppressor genes (TSGs) by aberrant promoter methylation is an early event in the initiation and development of cancer. Thus, methylated cancer type-specific TSGs in DNA can serve as useful biomarkers for early cancer detection. We have now developed a “Multiplex Methylation Specific PCR” (MMSP) assay for analysis of the methylation status of multiple potential TSGs by a single PCR reaction. This method will be useful for early diagnosis and treatment outcome studies of non-small cell lung cancer (NSCLC). Genome-wide CpG methylation and expression microarrays were performed on lung cancer tissues and matched distant non-cancerous tissues from three NSCLC patients from China. Thirty-eight potential TSGs were selected and analyzed by methylation PCR on bisulfite treated DNA. On the basis of sensitivity and specificity, six marker genes, HOXA9, TBX5, PITX2, CALCA, RASSF1A, and DLEC1, were selected to establish the MMSP assay. This assay was then used to analyze lung cancer tissues and matched distant non-cancerous tissues from 70 patients with NSCLC, as well as 24 patients with benign pulmonary lesion as controls. The sensitivity of the assay was 99% (69/70). HOXA9 and TBX5 were the 2 most sensitive marker genes: 87% (61/70) and 84% (59/70), respectively. RASSF1A and DLEC1 showed the highest specificity at 99% (69/70). Using the criterion of identifying at least any two methylated marker genes, 61/70 cancer samples were positive, corresponding to a sensitivity of 87% and a specificity of 94%. Early stage I or II NSCLC could even be detected with a 100% specificity and 86% sensitivity. In conclusion, MMSP has the potential to be developed into a population-based screening tool and can be useful for early diagnosis of NSCLC. It might also be suitable for monitoring treatment outcome and recurrence.     

利用分子量阵列平台进行特定序列甲基化分析的方法探讨

目的:探讨利用分子量阵列平台进行特定序列甲基化分析的方法。方法:通过对不同扩增条件和扩增效率及不同条件处理的质谱分析比较了MassArray平台进行甲基化分析的特点。结果:本研究通过与重亚硫酸盐测序结果比较证实,MassArray分子量阵列技术平台能够反映甲基化修饰的真实水平;通过不同条件下PCR扩增效率与甲基化分析的结果,发现扩增效率是制约MassArray分子量阵列技术平台甲基化分析的关键因素,而产物的放置时间和不同的处理没有明显影响甲基化分析。结论:Mas-sArray甲基化分析平台是高效快速检测甲基化修饰的平台,在使用过程中应该根据实际的实验条件,进行合理的质控。     

Hypermethylation of the Keap1 gene in human lung cancer cell lines and lung cancer tissues

Low expression of the oxidative stress sensor Keap1 is thought to be involved in carcinogenesis. However, the mechanisms responsible for inactivation of the Keap1 gene remain unknown. We investigated Keap1 expression using RT-PCR and found that it was downregulated in lung cancer cell lines and tissues when compared with a normal bronchial epithelial cell line. Treatment with 5-Aza-2′-deoxycytidine restored Keap1 expression in lung cancer cell lines, indicating the silencing mechanism to be promoter methylation. Moreover, we evaluated cytosine methylation in the Keap1 promoter and demonstrated that the P1 region, including 12 CpG sites, was highly methylated in lung cancer cells and tissues, but not in normal cells. Importantly, we found evidence that three specific CpG sites (the 3rd, 6th, and 10th CpGs of P1) might be binding sites for proteins that regulate Keap1 expression. Thus, our results suggest for the first time that Keap1 expression is regulated by an epigenetic mechanism in lung cancer.     

Single-molecule polymerase chain reaction reduces bias: application to DNA methylation analysis by bisulfite sequencing

The treatment of DNA with bisulfite, which converts C to U but leaves 5-methyl-C unchanged, forms the basis of many analytical techniques for DNA methylation analysis. Many techniques exist for measuring the methylation state of a single CpG but, for analysis of an entire region, cloning and sequencing remains the gold standard. However, biases in polymerase chain reaction (PCR) amplification and in cloning can skew the results. We hypothesized that single-molecule PCR (smPCR) amplification would eliminate the PCR amplification bias because competition between templates that amplify at different efficiencies no longer exists. The amplified products can be sequenced directly, thus eliminating cloning bias. We demonstrated this accurate and unbiased approach by analyzing a sample that was expected to contain a 50:50 ratio of methylated to unmethylated molecules: a region of the X-linked FMR1 gene from a human female cell line. We compared traditional cloning and sequencing to smPCR and sequencing. Sequencing smPCR products gave an expected methylated to unmethylated ratio of 48:52, whereas conventional cloning and sequencing gave a biased ratio of 72:28. Our results show that smPCR sequencing can eliminate both PCR and cloning bias and represents an attractive approach to bisulfite sequencing.     

亚硫酸氢钠测序法检测水稻FIE基因CpG岛甲基化状态

建立了适用于水稻基因组特定基因甲基化检测的亚硫酸氢钠测序法,并利用此方法对FIE2A基因CpG岛部分片段的甲基化差异进行了研究。采用CTAB法提取水稻叶片和胚乳细胞的基因组DNA,经亚硫酸氢钠化学修饰后,针对已修饰的FIE基因序列设计特异引物并结合巢式PCR扩增,TA载体克隆、测序,最后对测序结果进行分析。结果表明巢式PCR能够增加特异性产物的产生,FIE基因CpG岛在对称的CG和CNG位点甲基化水平较高,而在非对称CNN位点甲基化水平最低,此外在叶片中的平均甲基化水平较高。由此表明本研究建立的亚硫酸氢钠测序法适用于水稻基因组特定基因甲基化状态的检测。     

HeteroMeth: A Database of Cell-to-cell Heterogeneity in DNA Methylation

DNA methylation is an important epigenetic mark that plays a vital role in gene expression and cell differentiation. The average DNA methylation level among a group of cells has been extensively documented. However, the cell-to-cell heterogeneity in DNA methylation, which reflects the differentiation of epigenetic status among cells, remains less investigated. Here we established a gold standard of the cell-to-cell heterogeneity in DNA methylation based on single-cell bisulfite sequencing (BS-seq) data. With that, we optimized a computational pipeline for estimating the heterogeneity in DNA methylation from bulk BS-seq data. We further built HeteroMeth, a database for searching, browsing, visualizing, and downloading the data for heterogeneity in DNA methylation for a total of 141 samples in humans, mice, Arabidopsis, and rice. Three genes are used as examples to illustrate the power of HeteroMeth in the identification of unique features in DNA methylation. The optimization of the computational strategy and the construction of the database in this study complement the recent experimental attempts on single-cell DNA methylomes and will facilitate the understanding of epigenetic mechanisms underlying cell differentiation and embryonic development. HeteroMeth is publicly available at http://qianlab.genetics.ac.cn/HeteroMeth.