Objective:To explore the anti-tumor effects of asiatic moonseed rhizome extraction-dauricine on bladder cancer EJ cell strain,prostate cancer PC-3Mcell strain and primary cell culture system.Methods:The main effective...Objective:To explore the anti-tumor effects of asiatic moonseed rhizome extraction-dauricine on bladder cancer EJ cell strain,prostate cancer PC-3Mcell strain and primary cell culture system.Methods:The main effective component-phenolic alkaloids of Menispermum dauricum was extracted and separated from asiatic moonseed rhizome by chemical method.MTT method was used to detect dauricine anti-tumor effect.Results:Dauricine had an obvious proliferation inhibition effect on the main tumor cells in urinary system.The minimum drug sensitivity concentration was between 3.81-S.ISμg/mL,and the inhibition ratio increased with the increase of concentration.Condusioiis:Dauricine,the main effective component extracted from asiatic moonseed rhizome,had a good inhibition effect on tumor cells in urinary system.At the same time,Dauricine has certain inhibition effects on the primary cultured tumor cell.展开更多
Most biochemical processes in cells are usually modeled by reaction-diffusion （RD） equations. In these RD models, the diffusive process is assumed to be Gaussian. However, a growing number of studies have noted that...Most biochemical processes in cells are usually modeled by reaction-diffusion （RD） equations. In these RD models, the diffusive process is assumed to be Gaussian. However, a growing number of studies have noted that intracellular diffusion is anomalous at some or all times, which may result from a crowded environment and chemical kinetics. This work aims to computationally study the effects of chemical reactions on the diffusive dynamics of RD systems by using both stochastic and deterministic algorithms. Numerical method to estimate the mean-square displacement （MSD） from a deterministic algorithm is also investigated. Our computational results show that anomalous diffusion can be solely due to chemical reactions. The chemical reactions alone can cause anomalous sub-diffusion in the RD system at some or all times. The time-dependent anomalous diffusion exponent is found to depend on many parameters, including chemical reaction rates, reaction orders, and chemical concentrations.展开更多
文摘Objective:To explore the anti-tumor effects of asiatic moonseed rhizome extraction-dauricine on bladder cancer EJ cell strain,prostate cancer PC-3Mcell strain and primary cell culture system.Methods:The main effective component-phenolic alkaloids of Menispermum dauricum was extracted and separated from asiatic moonseed rhizome by chemical method.MTT method was used to detect dauricine anti-tumor effect.Results:Dauricine had an obvious proliferation inhibition effect on the main tumor cells in urinary system.The minimum drug sensitivity concentration was between 3.81-S.ISμg/mL,and the inhibition ratio increased with the increase of concentration.Condusioiis:Dauricine,the main effective component extracted from asiatic moonseed rhizome,had a good inhibition effect on tumor cells in urinary system.At the same time,Dauricine has certain inhibition effects on the primary cultured tumor cell.
基金supported by the Thailand Research Fund and Mahidol University(Grant No.TRG5880157),the Thailand Center of Excellence in Physics(ThEP),CHE,Thailand,and the Development Promotion of Science and Technology
文摘Most biochemical processes in cells are usually modeled by reaction-diffusion （RD） equations. In these RD models, the diffusive process is assumed to be Gaussian. However, a growing number of studies have noted that intracellular diffusion is anomalous at some or all times, which may result from a crowded environment and chemical kinetics. This work aims to computationally study the effects of chemical reactions on the diffusive dynamics of RD systems by using both stochastic and deterministic algorithms. Numerical method to estimate the mean-square displacement （MSD） from a deterministic algorithm is also investigated. Our computational results show that anomalous diffusion can be solely due to chemical reactions. The chemical reactions alone can cause anomalous sub-diffusion in the RD system at some or all times. The time-dependent anomalous diffusion exponent is found to depend on many parameters, including chemical reaction rates, reaction orders, and chemical concentrations.
