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衰老研究中的 DNA 修饰分析。

Analysis of DNA modifications in aging research.

机构信息

Reynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

出版信息

Geroscience. 2018 Feb;40(1):11-29. doi: 10.1007/s11357-018-0005-3. Epub 2018 Jan 11.

Abstract

As geroscience research extends into the role of epigenetics in aging and age-related disease, researchers are being confronted with unfamiliar molecular techniques and data analysis methods that can be difficult to integrate into their work. In this review, we focus on the analysis of DNA modifications, namely cytosine methylation and hydroxymethylation, through next-generation sequencing methods. While older techniques for modification analysis performed relative quantitation across regions of the genome or examined average genome levels, these analyses lack the desired specificity, rigor, and genomic coverage to firmly establish the nature of genomic methylation patterns and their response to aging. With recent methodological advances, such as whole genome bisulfite sequencing (WGBS), bisulfite oligonucleotide capture sequencing (BOCS), and bisulfite amplicon sequencing (BSAS), cytosine modifications can now be readily analyzed with base-specific, absolute quantitation at both cytosine-guanine dinucleotide (CG) and non-CG sites throughout the genome or within specific regions of interest by next-generation sequencing. Additional advances, such as oxidative bisulfite conversion to differentiate methylation from hydroxymethylation and analysis of limited input/single-cells, have great promise for continuing to expand epigenomic capabilities. This review provides a background on DNA modifications, the current state-of-the-art for sequencing methods, bioinformatics tools for converting these large data sets into biological insights, and perspectives on future directions for the field.

摘要

随着衰老和与年龄相关疾病的表观遗传学研究的深入,研究人员面临着不熟悉的分子技术和数据分析方法,这些方法很难融入他们的工作中。在这篇综述中,我们重点介绍了通过下一代测序方法分析 DNA 修饰,即胞嘧啶甲基化和羟甲基化。虽然用于修饰分析的旧技术在基因组区域或平均基因组水平上进行了相对定量,但这些分析缺乏所需的特异性、严格性和基因组覆盖度,无法确定基因组甲基化模式的本质及其对衰老的反应。随着最近方法学的进步,例如全基因组亚硫酸氢盐测序 (WGBS)、亚硫酸氢盐寡核苷酸捕获测序 (BOCS) 和亚硫酸氢盐扩增测序 (BSAS),现在可以通过下一代测序,以碱基特异性、绝对定量的方式,在基因组的 CG 和非 CG 位点以及特定感兴趣区域中,轻松地分析胞嘧啶修饰。其他进展,如氧化亚硫酸氢盐转化以区分甲基化和羟甲基化,以及对有限输入/单细胞的分析,为不断扩展表观基因组学能力提供了很大的希望。这篇综述提供了 DNA 修饰的背景知识、测序方法的最新技术、将这些大数据集转化为生物学见解的生物信息学工具,以及该领域未来方向的观点。

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