Extracellular Matrix regulates the morphodynamics of 3D migrating cancer cells
Christopher Z. Eddy, Helena Raposo, Ryan Wong, Bo Sun

TL;DR
This study investigates how the physical properties of the extracellular matrix influence the shape fluctuations and migration modes of 3D cancer cells, revealing complex dynamics governed by mechanics and signaling.
Contribution
It introduces a machine learning framework to classify cell morphologies and maps the mesoscale dynamics of cell shape transitions in 3D environments, linking them to motility.
Findings
ECM mechanics and Rho-signaling regulate cell morphodynamics
Cell shape transitions facilitate navigation through non-uniform ECM
Cell motility follows a hidden Markov process coupled with morphodynamics
Abstract
Cell shape is linked to cell function. The significance of cell morphodynamics, namely the temporal fluctuation of cell shape, is much less understood. Here we study the morphodynamics of MDA-MB-231 cells in type I collagen extracellular matrix (ECM). We systematically vary ECM physical properties by tuning collagen concentrations, alignment, and gelation temperatures. We find that morphodynamics of 3D migrating cells are externally controlled by ECM mechanics and internally modulated by Rho-signaling. We employ machine learning to classify cell shape into four different morphological phenotypes, each corresponding to a distinct migration mode. As a result, we map cell morphodynamics at mesoscale into the temporal evolution of morphological phenotypes. We characterize the mesoscale dynamics including occurrence probability, dwell time and transition matrix at varying ECM conditions,…
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Taxonomy
TopicsCellular Mechanics and Interactions · 3D Printing in Biomedical Research · Cell Image Analysis Techniques
