A model of cellular decision making in photodynamic therapy of cancer

I. Gkigkitzis, Xin-Hua Hu
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引用次数: 1

Abstract

The aim of this report is to provide a mathematical model of the mechanism for making binary fate decisions about cell death or survival, during and after type II photodynamic therapy (PDT) treatment, and to supply the logical design for this decision mechanism as an application of rate distortion theory to the biochemical processing of information by the physical system of a cell. Based on system biology models of the molecular interactions involved in the PDT processes previously established, and regarding a cellular decision-making system as a noisy communication channel, we use rate distortion theory to design a time dependent three dimensional Blahut-Arimoto algorithm where the input is a stimulus vector composed of the time dependent concentrations of three PDT related cell death signaling molecules and a cell fate decision as output. The molecular concentrations are determined by a group of rate equations. The output is the cell decision with a probability of cell survival or death. The optimality of the cell decision strategy is assessed by the cell survival probability, which might be modified to account for heterogeneous cell resistance to therapy.
肿瘤光动力治疗中的细胞决策模型
本报告的目的是提供在II型光动力治疗(PDT)治疗期间和之后关于细胞死亡或生存的二元命运决策机制的数学模型,并提供该决策机制的逻辑设计,作为速率畸变理论在细胞物理系统对信息的生化处理中的应用。基于先前建立的PDT过程中涉及的分子相互作用的系统生物学模型,并将细胞决策系统视为一个有噪声的通信通道,我们使用速率失真理论设计了一个时间依赖的三维Blahut-Arimoto算法,其中输入是由三个PDT相关细胞死亡信号分子的时间依赖浓度组成的刺激向量,输出是细胞命运决定。分子浓度由一组速率方程决定。输出是带有细胞存活或死亡概率的细胞决策。细胞决策策略的最优性是通过细胞生存概率来评估的,这可能会被修改以考虑异质细胞对治疗的抵抗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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