Epigenome sequencing comes of age in development, differentiation and disease mechanism research.
Epigenome sequencing comes of age in development, differentiation and disease mechanism research.
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DOI：
10.2217/epi.10.78
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发表时间：
2011-04
期刊：
影响因子：
3.8
通讯作者：
Qian Zhao;Yong Zhang
中科院分区：
文献类型：
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作者：
Qian Zhao;Yong Zhang
在真核生物中，细胞表型的变化与表观基因组的动态变化密切相关。在过去的几年中，基于测序的全基因组方法来产生，分析，解释和整合表观遗传信息已被应用于研究细胞状态变化背后的机制，例如在分化，疾病和重编程中看到的那些。本文重点介绍了四种类型的表观基因组信息（即，核小体定位、组蛋白修饰、DNA甲基化和染色质高级结构）。我们总结了不同的高通量测序应用程序，用于生成不同类型的表观基因组配置文件和生物信息学软件可用于执行常规分析。随着测序技术和生物信息学分析技术的飞速发展，表观基因组测序逐渐成为研究各种生物学问题的常用方法。
In eukaryotic organisms, changes in cell phenotype are tightly associated with dynamic changes in the epigenome. Over the past few years, sequencing-based genome-wide approaches to generate, analyze, interpret and integrate epigenetic information have been applied to investigate the mechanisms behind the changes in cell status, such as those which are seen in differentiation, disease and reprogramming. This article focuses on the four types of epigenomic information (i.e., nucleosome positioning, histone modification, DNA methylation and chromatin higher-order structure). We summarize the distinct high-throughput sequencing applications used to generate the different types of epigenomic profiles and the bioinformatic software available for performing routine analysis. With the dramatic improvement of sequencing technology and bioinformatic analysis, epigenome sequencing has gradually become the common approach to study a variety of biological issues.