细胞的形状和方向控制着振荡精度。

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Soft Matter Pub Date : 2024-10-16 DOI:10.1039/D4SM00952E
Ifunanya Nwogbaga and Brian A. Camley
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引用次数: 0

摘要

真核细胞在伤口愈合和胚胎形成过程中会感知并追随电场,这就是所谓的 "电轴运动"(galvanotaxis)。据信,电轴运动是由 "传感器"--可能是跨膜蛋白或其他分子--通过电泳和电渗作用重新分布所驱动的。在这里,我们更新了之前关于传感器运动随机性导致的振轴极限的模型,以考虑细胞的形状和方向。费雪信息的计算结果表明,原则上,当细胞长轴与电场平行时,细胞对电场方向有更多的信息。然而,对于弱电场,当细胞长轴垂直于电场时,最大似然估计值的可变性可能较低。在另一种可能性中,我们发现如果细胞将所有传感器位置的平均值作为其方向线索("矢量和")来估计场方向,就会导致偏向短轴,而各向同性细胞则不会出现这种效应。我们还探讨了细胞伸长产生于传感器再分布下游的可能性。我们认为,如果传感器迁移到细胞的后部,细胞将倾向于垂直于场扩展--这是更常见的观察结果;但如果传感器迁移到前部,细胞将倾向于平行于场伸长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Cell shape and orientation control galvanotactic accuracy

Cell shape and orientation control galvanotactic accuracy

Eukaryotic cells sense and follow electric fields during wound healing and embryogenesis – this is called galvanotaxis. Galvanotaxis is believed to be driven by the redistribution of “sensors” – potentially transmembrane proteins or other molecules – through electrophoresis and electroosmosis. Here, we update our previous model of the limits of galvanotaxis due to the stochasticity of sensor movements to account for cell shape and orientation. Computing the Fisher information shows that, in principle, cells have more information about the electric field direction when their long axis is parallel to the field. However, for weak fields, maximum-likelihood estimators may have lower variability when the cell's long axis is perpendicular to the field. In an alternate possibility, we find that if cells instead estimate the field direction by taking the average of all the sensor locations as its directional cue (“vector sum”), this introduces a bias towards the short axis, an effect not present for isotropic cells. We also explore the possibility that cell elongation arises downstream of sensor redistribution. We argue that if sensors migrate to the cell's rear, the cell will tend to expand perpendicular the field – as is more commonly observed – but if sensors migrate to the front, the cell will tend to elongate parallel to the field.

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来源期刊
Soft Matter
Soft Matter 工程技术-材料科学:综合
CiteScore
6.00
自引率
5.90%
发文量
891
审稿时长
1.9 months
期刊介绍: Where physics meets chemistry meets biology for fundamental soft matter research.
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