Department of Mathematics, Brigham Young University, Provo, Utah.
Department of Mathematics, Brigham Young University, Provo, Utah.
Biophys J. 2022 Mar 15;121(6):1070-1080. doi: 10.1016/j.bpj.2022.02.003. Epub 2022 Feb 7.
By analyzing the distributions of focal adhesion (FA) lifetimes from different cell types, we found that a gamma distribution best matched the experimental distributions. In all but one case, it was a unimodal, non-symmetric gamma distribution. We used a mathematical model of cell motion to help understand the mechanics and data behind the FA lifetime distributions. The model uses a detach-rate function to determine how long an FA will persist before it detaches. The detach-rate function that produced distributions with a best-fit gamma curve that closely matched that of the data was both force and time dependent. Using the data gathered from the matching simulations, we calculated both the cell speed and mean FA lifetime and compared them. Where available, we also compared this relationship to that of the experimental data and found that the simulation reasonably matches it in most cases. In both the simulations and experimental data, the cell speed and mean FA lifetime are related, with longer mean lifetimes being indicative of slower speeds. We suspect that one of the main predictors of cell speed for migrating cells is the distribution of the FA lifetimes.
通过分析来自不同细胞类型的粘着斑(FA)寿命分布,我们发现伽马分布最符合实验分布。除了一种情况外,其他都是单峰、非对称的伽马分布。我们使用细胞运动的数学模型来帮助理解 FA 寿命分布背后的力学和数据。该模型使用脱离速率函数来确定 FA 在脱离之前会持续多长时间。产生与数据拟合的最佳伽马曲线非常匹配的分布的脱离速率函数既与力有关,也与时间有关。使用从匹配模拟中收集的数据,我们计算了细胞速度和平均 FA 寿命并进行了比较。在有可用数据的情况下,我们还将这种关系与实验数据进行了比较,发现模拟在大多数情况下都能很好地匹配。在模拟和实验数据中,细胞速度和平均 FA 寿命都有关系,平均 FA 寿命越长,速度越慢。我们怀疑,对于迁移细胞,细胞速度的主要预测因子之一是 FA 寿命的分布。