Optimal Control of Collective Electrotaxis in Epithelial Monolayers.

IF 2 4区 数学 Q2 BIOLOGY
Simon F Martina-Perez, Isaac B Breinyn, Daniel J Cohen, Ruth E Baker
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引用次数: 0

Abstract

Epithelial monolayers are some of the best-studied models for collective cell migration due to their abundance in multicellular systems and their tractability. Experimentally, the collective migration of epithelial monolayers can be robustly steered e.g. using electric fields, via a process termed electrotaxis. Theoretically, however, the question of how to design an electric field to achieve a desired spatiotemporal movement pattern is underexplored. In this work, we construct and calibrate an ordinary differential equation model to predict the average velocity of the centre of mass of a cellular monolayer in response to stimulation with an electric field. We use this model, in conjunction with optimal control theory, to derive physically realistic optimal electric field designs to achieve a variety of aims, including maximising the total distance travelled by the monolayer, maximising the monolayer velocity, and keeping the monolayer velocity constant during stimulation. Together, this work is the first to present a unified framework for optimal control of collective monolayer electrotaxis and provides a blueprint to optimally steer collective migration using other external cues.

Abstract Image

上皮单层集体电泳的优化控制
上皮单层是研究得最好的细胞集体迁移模型,因为它们在多细胞系统中数量众多,而且易于操作。在实验中,上皮单层细胞的集体迁移可以通过电场等方式稳健地引导,这一过程被称为 "电迁移"(electrotaxis)。然而,在理论上,如何设计电场以实现所需的时空运动模式这一问题还未得到充分探索。在这项研究中,我们构建并校准了一个常微分方程模型,用于预测细胞单层质心在电场刺激下的平均速度。我们将该模型与最优控制理论相结合,推导出符合物理实际的最优电场设计,以实现各种目标,包括最大化单细胞层的总移动距离、最大化单细胞层速度以及在刺激过程中保持单细胞层速度恒定。总之,这项研究首次为单层集体电泳的优化控制提出了一个统一的框架,并为利用其他外部线索优化引导集体迁移提供了一个蓝图。
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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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