English

Cell Shape Emerges from Motion

Soft Condensed Matter 2025-11-20 v2

Abstract

We perform cell segmentation on images from experimental studies of confluent, mobile cells in epithelial monolayers and show that these systems possess a broad, positively-skewed shape parameter distribution P(A)P(\mathcal{A}), where A=p2/4πa\mathcal{A}=p^2/4\pi a, pp is the perimeter, and aa is area of each cell. P(A)P(\mathcal{A}) is peaked at a value higher than the typical shape parameter A1.15\mathcal{A}^* \sim 1.15 that occurs for randomly packed, static confluent cell monolayers. The distribution does not arise from a heterogeneous population of cells with different fixed A\mathcal{A}, nor can it arise from cell shape fluctuations from strains below the elastic limit. Instead, we find that all cells in each monolayer sample A\mathcal{A} values that span the full shape parameter distribution. We develop a deformable particle model that allows cell perimeter to adapt to local forces during cell motion, and this model recovers P(A)P(\mathcal{A}) to within 5%5\% for both MDCK and HaCaT epithelial cell monolayers. These results emphasize that confluent epithelial monolayers of mobile cells generate a well-defined broad shape parameter distribution that is independent of the initial cell shapes.

Keywords

Cite

@article{arxiv.2511.14707,
  title  = {Cell Shape Emerges from Motion},
  author = {Gautham Gopinath and Emmanuel Y. Mintah and Aashrith Saraswathibhatla and Jonah J. Spencer and Shahar Nahum and Lior Atia and Jacob Notbohm and Mark D. Shattuck and Corey S. O'Hern},
  journal= {arXiv preprint arXiv:2511.14707},
  year   = {2025}
}

Comments

12 pages and 13 figures

R2 v1 2026-07-01T07:43:48.746Z