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使用通用珠阵列进行高通量DNA甲基化分析。

High-throughput DNA methylation profiling using universal bead arrays.

作者信息

Bibikova Marina, Lin Zhenwu, Zhou Lixin, Chudin Eugene, Garcia Eliza Wickham, Wu Bonnie, Doucet Dennis, Thomas Neal J, Wang Yunhua, Vollmer Ekkehard, Goldmann Torsten, Seifart Carola, Jiang Wei, Barker David L, Chee Mark S, Floros Joanna, Fan Jian-Bing

机构信息

Illumina, Inc., San Diego, California 92121, USA.

出版信息

Genome Res. 2006 Mar;16(3):383-93. doi: 10.1101/gr.4410706. Epub 2006 Jan 31.

Abstract

We have developed a high-throughput method for analyzing the methylation status of hundreds of preselected genes simultaneously and have applied it to the discovery of methylation signatures that distinguish normal from cancer tissue samples. Through an adaptation of the GoldenGate genotyping assay implemented on a BeadArray platform, the methylation state of 1536 specific CpG sites in 371 genes (one to nine CpG sites per gene) was measured in a single reaction by multiplexed genotyping of 200 ng of bisulfite-treated genomic DNA. The assay was used to obtain a quantitative measure of the methylation level at each CpG site. After validating the assay in cell lines and normal tissues, we analyzed a panel of lung cancer biopsy samples (N = 22) and identified a panel of methylation markers that distinguished lung adenocarcinomas from normal lung tissues with high specificity. These markers were validated in a second sample set (N = 24). These results demonstrate the effectiveness of the method for reliably profiling many CpG sites in parallel for the discovery of informative methylation markers. The technology should prove useful for DNA methylation analyses in large populations, with potential application to the classification and diagnosis of a broad range of cancers and other diseases.

摘要

我们开发了一种高通量方法,可同时分析数百个预选基因的甲基化状态,并将其应用于发现区分正常组织和癌组织样本的甲基化特征。通过对在BeadArray平台上实施的GoldenGate基因分型检测进行改进,在一次反应中通过对200 ng亚硫酸氢盐处理的基因组DNA进行多重基因分型,测量了371个基因中1536个特定CpG位点的甲基化状态(每个基因1至9个CpG位点)。该检测用于获得每个CpG位点甲基化水平的定量测量。在细胞系和正常组织中验证该检测后,我们分析了一组肺癌活检样本(N = 22),并鉴定出一组甲基化标志物,这些标志物能以高特异性区分肺腺癌和正常肺组织。这些标志物在第二个样本集(N = 24)中得到了验证。这些结果证明了该方法在可靠地并行分析许多CpG位点以发现信息丰富的甲基化标志物方面的有效性。该技术对于大量人群的DNA甲基化分析应该是有用的,有可能应用于广泛癌症和其他疾病的分类与诊断。

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