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全基因组亚硫酸氢盐测序法分析全基因组 DNA 甲基化和羟甲基化模式的单核苷酸分辨率。

Whole-Genome Bisulfite Sequencing Protocol for the Analysis of Genome-Wide DNA Methylation and Hydroxymethylation Patterns at Single-Nucleotide Resolution.

机构信息

Centre National de Recherche en Génomique Humaine, CEA - Institut de Biologie François Jacob, Université Paris -Saclay, Evry, France.

出版信息

Methods Mol Biol. 2024;2842:353-382. doi: 10.1007/978-1-0716-4051-7_18.


DOI:10.1007/978-1-0716-4051-7_18
PMID:39012605
Abstract

The analysis of genome-wide epigenomic alterations including DNA methylation and hydroxymethylation has become a subject of intensive research for many biological and clinical questions. DNA methylation analysis bears the particular promise to supplement or replace biochemical and imaging-based tests for the next generation of personalized medicine. Whole-genome bisulfite sequencing (WGBS) using next-generation sequencing technologies is currently considered the gold standard for a comprehensive and quantitative analysis of DNA methylation throughout the genome. However, bisulfite conversion does not allow distinguishing between cytosine methylation and hydroxymethylation requiring an additional chemical or enzymatic step to identify hydroxymethylated cytosines. Here, we provide a detailed protocol based on a commercial kit for the preparation of sequencing libraries for the comprehensive whole-genome analysis of DNA methylation and/or hydroxymethylation. The protocol is based on the construction of sequencing libraries from limited amounts of input DNA by ligation of methylated adaptors to the fragmented DNA prior to bisulfite conversion. For analyses requiring a quantitative distinction between 5-methylcytosine and 5-hydroxymethylcytosines levels, an oxidation step is included in the same workflow to perform oxidative bisulfite sequencing (OxBs-Seq). In this case, two sequencing libraries will be generated and sequenced: a classic methylome following bisulfite conversion and analyzing modified cytosines (not distinguishing between methylated and hydroxymethylated cytosines) and a methylome analyzing only methylated cytosines, respectively. Hydroxymethylation levels are deduced from the differences between the two reactions. We also provide a step-by-step description of the data analysis using publicly available bioinformatic tools. The described protocol has been successfully applied to different human and plant samples and yields robust and reproducible results.

摘要

对包括 DNA 甲基化和羟甲基化在内的全基因组表观基因组改变的分析已成为许多生物学和临床问题的研究热点。DNA 甲基化分析具有补充或替代基于生化和成像的下一代个体化医学检测的特殊前景。使用下一代测序技术的全基因组亚硫酸氢盐测序 (WGBS) 目前被认为是全面和定量分析整个基因组 DNA 甲基化的金标准。然而,亚硫酸氢盐转化并不能区分胞嘧啶甲基化和羟甲基化,需要进行额外的化学或酶学步骤来鉴定羟甲基化胞嘧啶。在这里,我们提供了一个基于商业试剂盒的详细协议,用于制备用于全面全基因组 DNA 甲基化和/或羟甲基化分析的测序文库。该协议基于在亚硫酸氢盐转化之前将甲基化接头连接到片段化 DNA 上来构建来自有限量输入 DNA 的测序文库。对于需要定量区分 5-甲基胞嘧啶和 5-羟甲基胞嘧啶水平的分析,在同一工作流程中包括氧化步骤以进行氧化亚硫酸氢盐测序 (OxBs-Seq)。在这种情况下,将生成和测序两个测序文库:一个是经典的甲基化组,遵循亚硫酸氢盐转化并分析修饰的胞嘧啶(不区分甲基化和羟甲基化的胞嘧啶),另一个是仅分析甲基化胞嘧啶的甲基化组。羟甲基化水平是从两个反应之间的差异推断出来的。我们还提供了使用公共生物信息学工具进行数据分析的分步说明。该描述的协议已成功应用于不同的人类和植物样本,并产生了稳健和可重复的结果。

相似文献

[1]
Whole-Genome Bisulfite Sequencing Protocol for the Analysis of Genome-Wide DNA Methylation and Hydroxymethylation Patterns at Single-Nucleotide Resolution.

Methods Mol Biol. 2024

[2]
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[3]
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[7]
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[8]
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[9]
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[10]
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引用本文的文献

[1]
Evaluation of Illumina and Oxford Nanopore Sequencing for the Study of DNA Methylation in Alzheimer's Disease and Frontotemporal Dementia.

Int J Mol Sci. 2025-4-28

本文引用的文献

[1]
Blood-based tests for multicancer early detection (PATHFINDER): a prospective cohort study.

Lancet. 2023-10-7

[2]
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Ageing Res Rev. 2023-11

[3]
Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals.

PLoS Med. 2023-7

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Lancet Oncol. 2023-7

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Precision medicine in systemic lupus erythematosus.

Nat Rev Rheumatol. 2023-6

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Adv Exp Med Biol. 2022

[9]
Post-bisulfite Adaptor Tagging with a Highly Efficient Single-Stranded DNA Ligation Technique.

Methods Mol Biol. 2023

[10]
Epigenetics of type 2 diabetes mellitus and weight change - a tool for precision medicine?

Nat Rev Endocrinol. 2022-7

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