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粒子步进循环在非对称排斥过程中的作用:mRNA 翻译模型

Role of the particle's stepping cycle in an asymmetric exclusion process: a model of mRNA translation.

作者信息

Ciandrini L, Stansfield I, Romano M C

机构信息

Institute for Complex Systems and Mathematical Biology, King's College, University of Aberdeen, AB24 3UE Aberdeen, United Kingdom.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2010 May;81(5 Pt 1):051904. doi: 10.1103/PhysRevE.81.051904. Epub 2010 May 5.

DOI:10.1103/PhysRevE.81.051904
PMID:20866258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3639468/
Abstract

Messenger RNA translation is often studied by means of statistical-mechanical models based on the asymmetric simple exclusion process (ASEP), which considers hopping particles (the ribosomes) on a lattice (the polynucleotide chain). In this work we extend this class of models and consider the two fundamental steps of the ribosome's biochemical cycle following a coarse-grained perspective. In order to achieve a better understanding of the underlying biological processes and compare the theoretical predictions with experimental results, we provide a description lying between the minimal ASEP-like models and the more detailed models, which are analytically hard to treat. We use a mean-field approach to study the dynamics of particles associated with an internal stepping cycle. In this framework it is possible to characterize analytically different phases of the system (high density, low density or maximal current phase). Crucially, we show that the transitions between these different phases occur at different parameter values than the equivalent transitions in a standard ASEP, indicating the importance of including the two fundamental steps of the ribosome's biochemical cycle into the model.

摘要

信使核糖核酸(mRNA)翻译通常借助基于非对称简单排斥过程(ASEP)的统计力学模型进行研究,该模型考虑在晶格(多核苷酸链)上跳跃的粒子(核糖体)。在这项工作中,我们扩展了这类模型,并从粗粒度角度考虑核糖体生化循环的两个基本步骤。为了更好地理解潜在的生物过程,并将理论预测与实验结果进行比较,我们提供了一种介于最小化的类ASEP模型和更详细模型之间的描述,后者在分析上难以处理。我们使用平均场方法来研究与内部步进循环相关粒子的动力学。在此框架下,可以解析地表征系统的不同相(高密度、低密度或最大电流相)。至关重要的是,我们表明这些不同相之间的转变发生在与标准ASEP中等效转变不同的参数值处,这表明将核糖体生化循环的两个基本步骤纳入模型的重要性。

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Stochastic kinetics of ribosomes: single motor properties and collective behavior.核糖体的随机动力学:单分子马达特性与集体行为
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Queueing phase transition: theory of translation.
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