Substrate-mediated mechanical interactions induce multicellular network formation

ORAL

Abstract

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.

*This work was supported by NSF-CREST: Center for Cellular and Biomolecular Machines (CCBM): NSF-HRD-1547848 and NSF-CMMI-2138672

Publication: @misc{https://doi.org/10.48550/arxiv.2205.14088,
doi = {10.48550/ARXIV.2205.14088},

url = {https://arxiv.org/abs/2205.14088},

author = {Noerr, Patrick and Golnaraghi, Farnaz and Gopinathan, Ajay and Dasbiswas, Kinjal},

keywords = {Soft Condensed Matter (cond-mat.soft), Biological Physics (physics.bio-ph), FOS: Physical sciences, FOS: Physical sciences},

title = {Optimal mechanical interactions direct multicellular network formation on elastic substrates},

publisher = {arXiv},

year = {2022},

copyright = {Creative Commons Zero v1.0 Universal}
}

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
  • Kinjal Dasbiswas

    • University of California, Merced