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用于PURE系统操作的简单蛋白质合成模型。

A Simple Protein Synthesis Model for the PURE System Operation.

作者信息

Mavelli Fabio, Marangoni Roberto, Stano Pasquale

机构信息

Chemistry Department, University of Bari, Via Orabona 4, Bari, Italy,

出版信息

Bull Math Biol. 2015 Jun;77(6):1185-212. doi: 10.1007/s11538-015-0082-8. Epub 2015 Apr 25.

DOI:10.1007/s11538-015-0082-8
PMID:25911591
Abstract

The encapsulation of transcription-translation (TX-TL) cell-free machinery inside lipid vesicles (liposomes) is a key element in synthetic cell technology. The PURE system is a TX-TL kit composed of well-characterized parts, whose concentrations are fine tunable, which works according to a modular architecture. For these reasons, the PURE system perfectly fulfils the requirements of synthetic biology and is widely used for constructing synthetic cells. In this work, we present a simplified mathematical model to simulate the PURE system operations. Based on Michaelis-Menten kinetics and differential equations, the model describes protein synthesis dynamics by using 9 chemical species, 6 reactions and 16 kinetic parameters. The model correctly predicts the time course for messenger RNA and protein production and allows quantitative predictions. By means of this model, it is possible to foresee how the PURE system species affect the mechanism of proteins synthesis and therefore help in understanding scenarios where the concentration of the PURE system components has been modified purposely or as a result of stochastic fluctuations (for example after random encapsulation inside vesicles). The model also makes the determination of response coefficients for all species involved in the TX-TL mechanism possible and allows for scrutiny on how chemical energy is consumed by the three PURE system modules (transcription, translation and aminoacylation).

摘要

将无细胞转录-翻译(TX-TL)机制封装在脂质囊泡(脂质体)中是合成细胞技术的关键要素。PURE系统是一种由特性明确的部件组成的TX-TL试剂盒,其浓度可精确调节,按照模块化架构运行。基于这些原因,PURE系统完美满足合成生物学的要求,被广泛用于构建合成细胞。在这项工作中,我们提出了一个简化的数学模型来模拟PURE系统的运行。该模型基于米氏动力学和微分方程,通过使用9种化学物质、6个反应和16个动力学参数来描述蛋白质合成动力学。该模型正确预测了信使RNA和蛋白质产生的时间进程,并能够进行定量预测。借助这个模型,可以预见PURE系统中的物质如何影响蛋白质合成机制,从而有助于理解PURE系统组件浓度因有意改变或随机波动(例如在随机封装到囊泡中之后)而发生变化的情况。该模型还使得确定TX-TL机制中所有相关物质的响应系数成为可能,并能够仔细研究PURE系统的三个模块(转录、翻译和氨酰化)是如何消耗化学能的。

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