跨功能模块的生物衰老的高维的Ageome表示
Kejun Ying1,2, Alexander Tyshkovskiy1, Qingwen Chen3
1Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
bioRxiv : the preprint server for biology
|September 30, 2024
概括
衰老涉及复杂的分子变化. 一个新的框架,Ageome,通过许多途径测量表观遗传衰老,提供了超出单个生物年龄估计的详细观点,以更好地了解衰老和疾病.
科学领域:
- 老年学是一门学科.
- 计算生物学 计算生物学
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
背景情况:
- 衰老的特点是分子变化导致功能衰退和疾病风险增加.
- 目前的表观遗传衰老时钟提供单个年龄估计,但缺乏机械细节.
- 生物衰老可能更好地通过多个功能模块的集体衰老来表示.
研究的目的:
- 挑战单一生物年龄估计的范式.
- 介绍Ageome,一个用于多路径表观遗传年龄测量的计算框架.
- 为了提供一个高维的衰老动态的表示.
主要方法:
- 开发了Ageome计算框架.
- 应用Ageome测量小鼠和人类数千个分子通路的表观遗传年龄.
- 分析了长寿干预模型和人类队伍.
主要成果:
- 年龄组提供了一个高维的视图的生物衰老跨细胞功能.
- 在长寿干预中观察到特定途径的年龄减速的明显模式.
- 细胞重编程显示出混合的效果,使一些模块恢复青春,同时加速其他模块.
- 在人类队伍中,Ageome揭示了死亡率预测的异质性,并改善了与年龄相关的疾病 (如癌症) 的预测.
结论:
- 该Ageome框架提供了一个全面和可解释的老龄化评估方法.
- 它提供了对衰老机制和潜在干预目标的见解.
- 年龄组超越单点生物年龄估计,以更细致地了解衰老.
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