RESUMEN
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.
RESUMEN
Breast cancer is a kind of malignant tumor discovered lately, with a high incidence and a poor prognosis. The shortage of relevant biological biomarkers lead to the unsatisfactory treatment efficacy and the early diagnosis in breast cancer. Metabolomics is a new discipline that uses high-throughput analysis techniques to study the dynamic changes of endogenous metabolites under the influence of different pathological physiological stimulation or gene mutations, which has provided a novel way for biomarker screening and disease diagnosis and treatment. The overview of metabolomics and its applications in breast cancer early diagnosis, drug efficacy evaluation, and disease prognosis were summarized in this review.