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量化表观遗传衰老的随机组成部分.
Huige Tong1, Varun B Dwaraka2, Qingwen Chen3
1CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Nature aging
|May 9, 2024
概括
基因表观表观表观时间表.
科学领域:
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
- 衰老研究研究 衰老研究
- 计算生物学 计算生物学
背景情况:
- DNA甲基化 (DNAm) 时钟估计时间和生物年龄.
- 与年龄相关的DNAm变化的获取似乎是准随机的.
- 了解随机元件对于解释表观遗传时钟精度至关重要.
研究的目的:
- 量化归因于随机DNAm变化的表观遗传时钟精度的比例.
- 调查生物衰老是否反映非静态过程.
- 区分年龄加速的随机和非随机驱动因素.
主要方法:
- 开发现实的模拟模型,使用来自排序免疫细胞的DNAm数据.
- 分析了25个独立队伍中超过22,770个分类和全血样本.
- 统计建模以评估随机过程对时钟精度和年龄加速的贡献.
主要成果:
- 66-75%的Horvath的时钟精度,90%的张的时钟精度和63%的PhenoAge时钟精度可以通过随机过程驱动.
- 男性的年龄加速 (Horvath的时钟) 和严重的COVID-19病例/吸烟者 (PhenoAge时钟) 是由非静态过程驱动的.
- 随机性的比例在不同的表观遗传时钟之间有很大差异.
结论:
- 表观遗传时钟准确性的很大一部分是由随机DNAm变化解释的.
- 非静态过程是生物衰老和特定的衰老加速现象的关键驱动因素.
- 这些发现完善了对表观遗传钟及其与衰老的关系的解释.
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