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Pathway-Based Mean-Field Model for Escherichia coli Chemotaxis

机译:大肠杆菌趋化性的基于途径的平均场模型

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摘要

We develop a mean-field theory for Escherichia coli chemotaxis based on the coupled spatiotemporal dynamics of the cell population and the mean receptor methylation level field. This multiscale model connects the cells" population level motility behavior with the molecular level pathway dynamics. It reveals a simple scaling dependence of the chemotaxis velocity on the adaptation rate in exponential gradients. It explains the molecular origin of a maximum chemotaxis velocity. Simulations of our model in various spatiotemporal stimuli profiles show quantitative agreements with experiments. Moreover, it predicts a surprising reversal of chemotaxis group velocity in traveling wave environments. Our approach may be used to bridge molecular level pathway dynamics with cellular behavior in other biological systems.
机译:我们基于细胞群体和平均受体甲基化水平场的耦合时空动力学,开发了大肠杆菌趋化性的平均场理论。该多尺度模型将细胞的种群水平运动行为与分子水平途径动力学联系起来。它揭示了趋化速度对指数梯度中适应率的简单比例依赖性。它解释了最大趋化速度的分子起源。在各种时空刺激模式中的模型显示出与实验的定量一致性,而且,它预测了行波环境中趋化性基团速度的惊人逆转,我们的方法可用于在其他生物系统中将分子水平途径的动力学与细胞行为联系起来。

著录项

  • 来源
    《Physical review letters》 |2012年第4期|p.048101.1-048101.5|共5页
  • 作者单位

    The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics,Peking University, Beijing 100871, China,Center for Quantitative Biology and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China;

    The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics,Peking University, Beijing 100871, China;

    The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics,Peking University, Beijing 100871, China,Center for Quantitative Biology and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China;

    IBM T.J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598, USA,Center for Quantitative Biology and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    signal transduction;

    机译:信号转导;

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