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全基因组 DNA 甲基化分析。

Genome-scale DNA methylation analysis.

机构信息

Brain Tumor Research Center, Department of Neurosurgery, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, CA 94158, USA.

出版信息

Epigenomics. 2010 Feb;2(1):105-17. doi: 10.2217/epi.09.35.

Abstract

The haploid human genome contains approximately 29 million CpGs that exist in a methylated, hydroxymethylated or unmethylated state, collectively referred to as the DNA methylome. The methylation status of cytosines in CpGs and occasionally in non-CpG cytosines influences protein–DNA interactions, gene expression, and chromatin structure and stability. The degree of DNA methylation at particular loci may be heritable transgenerationally and may be altered by environmental exposures and diet, potentially contributing to the development of human diseases. For the vast majority of normal and disease methylomes however, less than 1% of the CpGs have been assessed, revealing the formative stage of methylation mapping techniques. Thus, there is significant discovery potential in new genome-scale platforms applied to methylome mapping, particularly oligonucleotide arrays and the transformative technology of next-generation sequencing. Here, we outline the currently used methylation detection reagents and their application to microarray and sequencing platforms. A comparison of the emerging methods is presented, highlighting their degrees of technical complexity, methylome coverage and precision in resolving methylation. Because there are hundreds of unique methylomes to map within one individual and interindividual variation is likely to be significant, international coordination is essential to standardize methylome platforms and to create a full repository of methylome maps from tissues and unique cell types.

摘要

人类单倍体基因组包含约 2900 万个 CpG 位点,这些 CpG 位点存在甲基化、羟甲基化或非甲基化状态,统称为 DNA 甲基组。CpG 中胞嘧啶和偶尔非 CpG 胞嘧啶的甲基化状态影响蛋白质-DNA 相互作用、基因表达以及染色质结构和稳定性。特定基因座处的 DNA 甲基化程度可能在代际间遗传,并可能因环境暴露和饮食而改变,从而可能导致人类疾病的发生。然而,对于绝大多数正常和疾病甲基组而言,只有不到 1%的 CpG 被评估过,这揭示了甲基化图谱技术的形成阶段。因此,在应用于甲基组图谱的新基因组规模平台中,存在着巨大的发现潜力,尤其是寡核苷酸微阵列和下一代测序的变革性技术。在这里,我们概述了目前使用的甲基化检测试剂及其在微阵列和测序平台中的应用。我们还比较了新兴方法,突出了它们在技术复杂性、甲基组覆盖范围以及解析甲基化的精度方面的差异。由于一个个体中需要绘制数百个独特的甲基组,并且个体间的差异可能很大,因此国际协调对于标准化甲基组平台以及从组织和独特细胞类型中创建完整的甲基组图谱库至关重要。

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