Quantitative characterization of cell physiological state based on dynamical cell mechanics for drug efficacy indication
- Author:
Shuang MA
1
,
2
,
3
;
Junfeng WU
;
Zhihua LIU
;
Rong HE
;
Yuechao WANG
;
Lianqing LIU
;
Tianlu WANG
;
Wenxue WANG
Author Information
1. State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China
2. Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110169,China
3. University of Chinese Academy of Sciences,Beijing 100049,China
- Keywords:
Cellular mechanical properties;
Cytoskeleton;
Drug efficacy evaluation;
Cell system modelling;
Linear regression
- From:
Journal of Pharmaceutical Analysis
2023;13(4):388-402
- CountryChina
- Language:Chinese
-
Abstract:
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 character-izing 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 signifi-cantly 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.
