走向单细胞控制:在生物分子系统中对噪音有完美的适应性
Dongju Lim1,2, Seokhwan Moon3,4, Yun Min Song2
1Department of Mathematical Sciences, KAIST, Daejeon, Republic of Korea.
Nature communications
|December 24, 2025
概括
这项研究引入了一种新的噪声控制器,以在单细胞水平上实现强大的完美适应 (RPA). 控制器保持稳定的输出水平,减少噪音,提高生物系统的精度.
科学领域:
- 系统生物学 系统生物学
- 合成生物学 合成生物学
- 生物物理学的生物物理.
背景情况:
- 强大的完美适应 (RPA) 确保了稳定的生物输出,尽管存在干扰,对细胞功能至关重要.
- 相反的整体反 (AIF) 实现了人口水平的RPA,但放大了噪声,阻碍了单细胞调节.
- 现有的控制器在噪声放大方面存在困难,这限制了精确的单细胞输出控制.
研究的目的:
- 开发一种新的监管动机,以实现单细胞水平的RPA.
- 克服与传统的AIF控制器相关的噪声放大问题.
- 提高生物控制系统的精度和稳定性.
主要方法:
- 引入了以AIF为灵感的"噪音控制器",利用输出物种二分化进行传感.
- 将噪声控制器与AIF结合起来,以实现噪声RPA.
- 验证了控制器在大肠杆菌的DNA修复系统中的有效性.
主要成果:
- 联合噪声控制器和AIF在扰动后保持了平均和噪声水平,实现了噪声RPA.
- 噪声控制器成功地将输出噪声降低到1的Fano系数,即内在噪声的下限.
- 在大肠杆菌的DNA损伤反应启动过程中,已证明减少了失败率.
结论:
- 新型噪声控制器通过管理输出噪声,在单细胞水平上实现了强大的完美适应.
- 这种方法提高了生物系统的精度,并且广泛适用于 ergodic 网络.
- 这些发现代表了在生物工程中实现精确单细胞水平调节的重大进展.
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