Cells sense their surroundings by exerting mechanical forces on their viscoelastic substrate. We show, through agent-based simulations of cells modeled as motile, contractile force dipoles on elastic substrates, that mechanical interactions result in cell networks. These resemble networks of endothelial cells, a precursor to blood vessel formation. The morphology of the simulated networks is quantified by several metrics, including the percolation transition and a fractal dimension. Model networks are found to have a fractal dimension comparable to leaf and animal venation, and significantly lower than the control case of randomly moving adhesive agents. This shows that cells directed by substrate mediated elastic interactions can more efficiently form space-spanning structures. Next, we investigate the dynamics of cell-cell interactions by considering timescales from substrate viscoelasticity and force dipole generation. Additionally, we simulate a finite elastic medium, to examine the possible feedback between cell network formation and macroscopic gel contraction.
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Publication: @misc{https://doi.org/10.48550/arxiv.2205.14088,<br> doi = {10.48550/ARXIV.2205.14088},<br> <br> url = {https://arxiv.org/abs/2205.14088},<br> <br> author = {Noerr, Patrick and Golnaraghi, Farnaz and Gopinathan, Ajay and Dasbiswas, Kinjal},<br> <br> keywords = {Soft Condensed Matter (cond-mat.soft), Biological Physics (physics.bio-ph), FOS: Physical sciences, FOS: Physical sciences},<br> <br> title = {Optimal mechanical interactions direct multicellular network formation on elastic substrates},<br> <br> publisher = {arXiv},<br> <br> year = {2022},<br> <br> copyright = {Creative Commons Zero v1.0 Universal}<br>}<br>
Presenters
Patrick Noerr
University of California Merced
Authors
Patrick Noerr
University of California Merced
Farnaz Golnaraghi
University of California, Merced
Ajay Gopinathan
University of California, University of California Merced