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基于 Rho-GTPase 的模型解释了神经嵴细胞集体趋化性中的群体优势。

A Rho-GTPase based model explains group advantage in collective chemotaxis of neural crest cells.

机构信息

Department of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada.

出版信息

Phys Biol. 2020 Mar 10;17(3):036002. doi: 10.1088/1478-3975/ab71f1.

Abstract

A cluster of neural crest cells (NCCs) may chemotax up a shallow external gradient to which a single cell is unresponsive. To explain this intriguing 'group advantage', we propose a chemo-mechanical model based on the signaling proteins Rac1 and RhoA. We represent each cell as a polygon with nodes connected by elastic membranes. Via reaction-diffusion on the membrane and exchange with their cytosolic pools, Rac1 and RhoA interact to produce cell polarization and repolarization subject to random noise. Mechanically, we represent cell motility via overdamped nodal motion subject to passive elastic membrane forces and active protrusive or contractile forces where Rac1 or RhoA dominates. The model reproduces the random walk of a single cell in a weak gradient and two modes of cell-cell interaction: contact inhibition of locomotion and co-attraction. The simultaneous action of contact inhibition and co-attraction suppresses random Rac1 bursts on the membrane and serves to preserve existing protrusions. This amounts to an emergent persistence of polarity that markedly enhances the ability of a cluster of NCCs to chemotax in a weak gradient against random noise, thereby giving rise to the group advantage.

摘要

一群神经嵴细胞(NCCs)可能会沿着浅层的外部梯度趋化,而单个细胞对此没有反应。为了解释这种有趣的“群体优势”,我们提出了一个基于信号蛋白 Rac1 和 RhoA 的化学机械模型。我们将每个细胞表示为一个多边形,节点由弹性膜连接。通过在膜上的反应扩散以及与细胞质池的交换,Rac1 和 RhoA 相互作用,产生细胞极化和再极化,受到随机噪声的影响。在力学上,我们通过受被动弹性膜力和主动伸出或收缩力支配的过阻尼节点运动来表示细胞运动,其中 Rac1 或 RhoA 占主导地位。该模型再现了单个细胞在弱梯度中的随机游走以及两种细胞-细胞相互作用模式:细胞运动的接触抑制和共吸引。接触抑制和共吸引的同时作用抑制了膜上随机的 Rac1 爆发,并有助于维持现有的突起。这相当于极性的一种突现持续,显著增强了一群 NCCs 在弱梯度中对抗随机噪声的趋化能力,从而产生了群体优势。

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