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使用 Infinium® 分析进行全基因组 DNA 甲基化分析。

Genome-wide DNA methylation profiling using Infinium® assay.

机构信息

Illumina Inc., 9885 Towne Centre Dr., San Diego, CA 92121, USA.

出版信息

Epigenomics. 2009 Oct;1(1):177-200. doi: 10.2217/epi.09.14.

Abstract

AIMS

Bisulfite sequence analysis of individual CpG sites within genomic DNA is a powerful approach for methylation analysis in the genome. The major limitation of bisulfite-based methods is parallelization. Both array and next-generation sequencing technology are capable of addressing this bottleneck. In this report, we describe the application of Infinium® genotyping technology to analyze bisulfite-converted DNA to simultaneously query the methylation state of over 27,000 CpG sites from promoters of consensus coding sequences (CCDS) genes.

MATERIALS & METHODS: We adapted the Infinium genotyping assay to readout an array of over 27,000 pairs of CpG methylation-specific query probes complementary to bisulfite-converted DNA. Two probes were designed to each CpG site: a 'methylated' and an 'unmethylated' query probe. The probe design assumed that all underlying CpG sites were 'in phase' with the queried CpG site due to their close proximity. Bisulfite conversion was performed with a modified version of the Zymo EZ DNA Methylation™ kit.

RESULTS

We applied this technology to measuring methylation levels across a panel of 14 different human tissues, four Coriell cell lines and six cancer cell lines. We observed that CpG sites within CpG islands (CGIs) were largely unmethylated across all tissues (~80% sites unmethylated, β < 0.2), whereas CpG sites in non-CGIs were moderately to highly methylated (only ~12% sites unmethylated, β < 0.2). Within CGIs, only approximately 3-6% of the loci were highly methylated; in contrast, outside of CGIs approximately 25-40% of loci were highly methylated. Moreover, tissue-specific methylation (variation in methylation across tissues) was much more prevalent in non-CGIs than within CGIs.

CONCLUSION

Our results demonstrate a genome-wide scalable array-based methylation readout platform that is both highly reproducible and quantitative. In the near future, this platform should enable the analysis of hundreds of thousands to millions of CpG sites per sample.

摘要

目的

对基因组中单个 CpG 位点的亚硫酸氢盐测序分析是一种用于基因组中甲基化分析的强大方法。基于亚硫酸氢盐的方法的主要局限性是可并行化。阵列和下一代测序技术都能够解决这一瓶颈。在本报告中,我们描述了 Infinium®基因分型技术在分析经亚硫酸氢盐转化的 DNA 中的应用,该技术可同时查询来自共识编码序列 (CCDS) 基因启动子的超过 27000 个 CpG 位点的甲基化状态。

材料与方法

我们对 Infinium 基因分型检测进行了改编,以读取超过 27000 对互补于经亚硫酸氢盐转化的 DNA 的 CpG 甲基化特异性查询探针的阵列。为每个 CpG 位点设计了两个探针:一个“甲基化”探针和一个“非甲基化”探针。该探针设计假设由于它们的紧密接近,所有潜在的 CpG 位点都与被查询的 CpG 位点“同相”。亚硫酸氢盐转化是使用 Zymo EZ DNA Methylation™试剂盒的修改版本进行的。

结果

我们将该技术应用于测量 14 种不同人体组织、4 种 Coriell 细胞系和 6 种癌细胞系中的甲基化水平。我们观察到,所有组织中 CpG 岛 (CGI) 内的 CpG 位点基本上都是非甲基化的(80%的位点是非甲基化的,β < 0.2),而非 CGI 中的 CpG 位点则是中度至高度甲基化的(只有12%的位点是非甲基化的,β < 0.2)。在 CGI 内,只有大约 3-6%的位点高度甲基化;相比之下,在 CGI 之外,大约 25-40%的位点高度甲基化。此外,非 CGI 中的组织特异性甲基化(组织间甲基化的变化)比 CGI 内更为普遍。

结论

我们的结果表明,这是一种具有高度可扩展性的基于阵列的全基因组甲基化读取平台,具有高度的可重复性和定量性。在不久的将来,该平台应该能够分析每个样本数十万到数百万个 CpG 位点。

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