衰老的消耗理论:使用细胞衰老地图进行定量分析.
Farhan Khodaee1, Rohola Zandie1, Yufan Xia1
1Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, 02139, MA, USA.
ArXiv
|May 5, 2025
概括
根据新的动态系统理论,衰老是生物系统中的消散过程. 一种计算方法使用机器学习和基因表达数据量化细胞衰老变化.
科学领域:
- 生物物理学的生物物理.
- 计算生物学 计算生物学
- 系统生物学 系统生物学
背景情况:
- 衰老是一个复杂的生物过程,涉及到细胞的变化.
- 了解衰老的基本动态仍然是一个挑战.
- 现有的模型往往缺乏动态系统的视角.
研究的目的:
- 提出一种基于动态系统的新老化理论.
- 开发一种计算方法来量化细胞衰老动态.
- 研究衰老作为生物系统中的消散过程.
主要方法:
- 应用 ergodic 理论来分解衰老的动态.
- 利用基于变压器的机器学习算法进行基因表达分析.
- 嵌入年龄作为机器学习模型中分析嵌入的代币.
- 开发了一个细胞衰老地图 (CAM),以可视化与年龄相关的变化.
主要成果:
- 衰老被描述为一个基本的消散过程.
- 在基因和年龄嵌入中确定了与年龄相关的消散模式.
- 观察到基因嵌入空间和非线性过渡的分歧.
- 在不同的组织和细胞类型中检测到衰老过程中的变化.
结论:
- 衰老可以被概念化为生物系统中的消散过程.
- 拟议的计算框架可以在分子水平上测量衰老.
- 细胞衰老地图 (CAM) 为衰老研究提供了一个新的工具.
- 这项工作为细胞衰老的动态提供了新的视角.
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