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迁移树突状细胞具有独特的速度和方向记忆,使其搜索策略多样化。

Distinct speed and direction memories of migrating dendritic cells diversify their search strategies.

机构信息

Department of Theoretical Physics, Saarland University, Saarbrücken, Germany; Centre for Biophysics, Saarland University, Saarbrücken, Germany.

Institut Curie and Institut Pierre Gilles de Gennes, PSL Research University, CNRS, UMR 144, Paris, France.

出版信息

Biophys J. 2022 Nov 1;121(21):4099-4108. doi: 10.1016/j.bpj.2022.09.033. Epub 2022 Sep 30.

Abstract

Migrating cells exhibit various motility patterns, resulting from different migration mechanisms, cell properties, or cell-environment interactions. The complexity of cell dynamics is reflected, e.g., in the diversity of the observed forms of velocity autocorrelation function-which has been widely served as a measure of diffusivity and spreading. By analyzing the dynamics of migrating dendritic cells in vitro, we disentangle the contributions of direction θ and speed v to the velocity autocorrelation. We find that the ability of cells to maintain their speed or direction of motion is unequal, reflected in different temporal decays of speed and direction autocorrelation functions, AC(t)∼t and AC(t)∼t, respectively. The larger power-law exponent of AC(t) indicates that the cells lose their speed memory considerably faster than the direction memory. Using numerical simulations, we investigate the influence of AC and AC as well as the direction-speed cross correlation C on the search time of a persistent random walker to find a randomly located target in confinement. Although AC and C play the major roles, we find that the speed autocorrelation AC can be also tuned to minimize the search time. Adopting an optimal AC can reduce the search time even up to 10% compared with uncorrelated spontaneous speeds. Our results suggest that migrating cells can improve their search efficiency, especially in crowded environments, through the directional or speed persistence or the speed-direction correlation.

摘要

迁移细胞表现出各种运动模式,这是由不同的迁移机制、细胞特性或细胞-环境相互作用导致的。细胞动力学的复杂性反映在速度自相关函数的多样性上,速度自相关函数被广泛用作扩散和扩展的度量。通过分析体外迁移树突状细胞的动力学,我们可以分解方向θ和速度 v 对速度自相关的贡献。我们发现,细胞保持其运动速度或方向的能力是不平等的,这反映在速度和方向自相关函数的不同时间衰减中,分别为 AC(t)∼t 和 AC(t)∼t。AC(t)的较大幂律指数表明,细胞失去速度记忆的速度明显快于失去方向记忆的速度。使用数值模拟,我们研究了 AC 和 AC 以及方向-速度交叉相关 C 对受限环境中持续随机游走者寻找随机位置目标的搜索时间的影响。尽管 AC 和 C 起着主要作用,但我们发现速度自相关 AC 也可以被调整以最小化搜索时间。采用最优的 AC 可以将搜索时间减少 10%,与无相关自发速度相比。我们的研究结果表明,迁移细胞可以通过方向或速度持久性或速度-方向相关性来提高搜索效率,尤其是在拥挤的环境中。

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