Department of Biophysics, Johns Hopkins University, Baltimore, Maryland.
Department of Biophysics, Johns Hopkins University, Baltimore, Maryland; William H. Miller III Department of Physics & Astronomy, Johns Hopkins University, Baltimore, Maryland.
Biophys J. 2023 Jan 3;122(1):130-142. doi: 10.1016/j.bpj.2022.11.021. Epub 2022 Nov 17.
During wound healing, fish keratocyte cells undergo galvanotaxis where they follow a wound-induced electric field. In addition to their stereotypical persistent motion, keratocytes can develop circular motion without a field or oscillate while crawling in the field direction. We developed a coarse-grained phenomenological model that captures these keratocyte behaviors. We fit this model to experimental data on keratocyte response to an electric field being turned on. A critical element of our model is a tendency for cells to turn toward their long axis, arising from a coupling between cell shape and velocity, which gives rise to oscillatory and circular motion. Galvanotaxis is influenced not only by the field-dependent responses, but also cell speed and cell shape relaxation rate. When the cell reacts to an electric field being turned on, our model predicts that stiff, slow cells react slowly but follow the signal reliably. Cells that polarize and align to the field at a faster rate react more quickly and follow the signal more reliably. When cells are exposed to a field that switches direction rapidly, cells follow the average of field directions, while if the field is switched more slowly, cells follow a "staircase" pattern. Our study indicated that a simple phenomenological model coupling cell speed and shape is sufficient to reproduce a broad variety of different keratocyte behaviors, ranging from circling to oscillation to galvanotactic response, by only varying a few parameters.
在伤口愈合过程中,鱼类角膜细胞会发生电趋性,即它们会跟随伤口诱导的电场运动。除了典型的持续运动外,角膜细胞在没有电场的情况下也可以产生圆周运动,或者在沿电场方向爬行时振荡。我们开发了一种粗粒化的唯象模型,该模型可以捕捉到这些角膜细胞的行为。我们将该模型拟合到关于角膜细胞对电场开启的响应的实验数据上。我们模型的一个关键要素是细胞有转向其长轴的趋势,这源于细胞形状和速度之间的耦合,从而产生振荡和圆周运动。电趋性不仅受到与电场相关的反应的影响,还受到细胞速度和细胞形状弛豫率的影响。当细胞对电场的开启做出反应时,我们的模型预测,硬而慢的细胞反应较慢,但可靠地跟踪信号。极化并更快地与电场对齐的细胞反应更快,并且更可靠地跟踪信号。当细胞暴露于快速切换方向的电场时,细胞会跟随平均电场方向,而当电场切换较慢时,细胞会跟随“阶梯”模式。我们的研究表明,通过仅改变几个参数,将细胞速度和形状耦合的简单唯象模型足以再现广泛的不同角膜细胞行为,从圆周运动到振荡到电趋性反应。