Ma Shuang, Wu Junfeng, Liu Zhihua, He Rong, Wang Yuechao, Liu Lianqing, Wang Tianlu, Wang Wenxue
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China.
J Pharm Anal. 2023 Apr;13(4):388-402. doi: 10.1016/j.jpha.2023.03.002. Epub 2023 Mar 13.
Cell mechanics is essential to cell development and function, and its dynamics evolution reflects the physiological state of cells. Here, we investigate the dynamical mechanical properties of single cells under various drug conditions, and present two mathematical approaches to quantitatively characterizing the cell physiological state. It is demonstrated that the cellular mechanical properties upon the drug action increase over time and tend to saturate, and can be mathematically characterized by a linear time-invariant dynamical model. It is shown that the transition matrices of dynamical cell systems significantly improve the classification accuracies of the cells under different drug actions. Furthermore, it is revealed that there exists a positive linear correlation between the cytoskeleton density and the cellular mechanical properties, and the physiological state of a cell in terms of its cytoskeleton density can be predicted from its mechanical properties by a linear regression model. This study builds a relationship between the cellular mechanical properties and the cellular physiological state, adding information for evaluating drug efficacy.
细胞力学对于细胞发育和功能至关重要，其动态演变反映了细胞的生理状态。在此，我们研究了在各种药物条件下单细胞的动态力学特性，并提出了两种数学方法来定量表征细胞生理状态。结果表明，药物作用下细胞的力学特性随时间增加并趋于饱和，并且可以通过线性时不变动态模型进行数学表征。结果表明，动态细胞系统的转移矩阵显著提高了不同药物作用下细胞的分类准确率。此外，研究发现细胞骨架密度与细胞力学特性之间存在正线性相关，并且可以通过线性回归模型从细胞的力学特性预测其细胞骨架密度方面的生理状态。本研究建立了细胞力学特性与细胞生理状态之间的关系，为评估药物疗效增添了信息。
