Collective effects in flow-driven cell migration (2305.03570v1)

Abstract: Autologous chemotaxis is the process in which cells secrete and detect molecules to determine the direction of fluid flow. Experiments and theory suggest that autologous chemotaxis fails at high cell densities because molecules from other cells interfere with a given cell's signal. Based on observations of collective cell migration in diverse biological contexts, we propose a mechanism for cells to avoid this failure by forming a collective sensory unit. Formulating a simple physical model of collective autologous chemotaxis, we find that a cluster of cells can outperform single cells in terms of the detected anisotropy of the signal. We validate our results with a Monte-Carlo-based motility simulation, demonstrating that clusters chemotax faster than individual cells. Our simulation couples spatial and temporal gradient sensing with cell-cell repulsion, suggesting that our proposed mechanism requires only known, ubiquitous cell capabilities.