Aragon Institute of Engineering Research, University of Zaragoza, Mariano Esquillor, s.n., 50018, Zaragoza, Spain.
Tissue Microenvironment Laboratory (TME Lab), Institute for Health Research Aragón, San Juan Bosco, 13, 50009, Zaragoza, Spain.
Bull Math Biol. 2023 Sep 8;85(10):98. doi: 10.1007/s11538-023-01194-9.
As motivated by studies of cellular motility driven by spatiotemporal chemotactic gradients in microdevices, we develop a framework for constructing approximate analytical solutions for the location, speed and cellular densities for cell chemotaxis waves in heterogeneous fields of chemoattractant from the underlying partial differential equation models. In particular, such chemotactic waves are not in general translationally invariant travelling waves, but possess a spatial variation that evolves in time, and may even oscillate back and forth in time, according to the details of the chemotactic gradients. The analytical framework exploits the observation that unbiased cellular diffusive flux is typically small compared to chemotactic fluxes and is first developed and validated for a range of exemplar scenarios. The framework is subsequently applied to more complex models considering the chemoattractant dynamics under more general settings, potentially including those of relevance for representing pathophysiology scenarios in microdevice studies. In particular, even though solutions cannot be constructed in all cases, a wide variety of scenarios can be considered analytically, firstly providing global insight into the important mechanisms and features of cell motility in complex spatiotemporal fields of chemoattractant. Such analytical solutions also provide a means of rapid evaluation of model predictions, with the prospect of application in computationally demanding investigations relating theoretical models and experimental observation, such as Bayesian parameter estimation.
受微设备中时空趋化梯度驱动的细胞运动研究的启发,我们开发了一个框架,用于从基础偏微分方程模型构建细胞趋化波在非均相趋化剂场中的位置、速度和细胞密度的近似解析解。特别是,这种趋化波通常不是平移不变的传播波,而是具有随时间演变的空间变化,根据趋化梯度的细节,甚至可能在时间上来回振荡。分析框架利用了无偏细胞扩散通量通常比趋化通量小的观察结果,并首先针对一系列示例场景进行了开发和验证。该框架随后应用于更复杂的模型,考虑了更一般设置下的趋化剂动力学,可能包括那些与微设备研究中代表病理生理学场景相关的模型。特别是,即使在所有情况下都无法构建解,也可以分析各种各样的情况,首先为在复杂的时空趋化场中细胞运动的重要机制和特征提供全局见解。这种分析解还提供了快速评估模型预测的方法,有望应用于与理论模型和实验观察相关的计算要求高的研究,例如贝叶斯参数估计。