Selvamani P.a· Chelakkot R.b· Nandi A.b· Inamdar M.M.c

Author affiliations

aCenter for Research in Nanotechnology and Science, Indian Institute of Technology Bombay, Mumbai, India
bDepartment of Physics, Indian Institute of Technology Bombay, Mumbai, India
cDepartment of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, India

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Article / Publication Details

First-Page Preview

Received: June 05, 2022
Accepted: November 22, 2022
Published online: April 12, 2023

Number of Print Pages: 14
Number of Figures: 6
Number of Tables: 1

ISSN: 1422-6405 (Print)
eISSN: 1422-6421 (Online)

For additional information: https://www.karger.com/CTO

Abstract

Migrating cells in tissues are often known to exhibit collective swirling movements. In this paper, we develop an active vertex model with polarity dynamics based on contact inhibition of locomotion (CIL). We show that under this dynamics, the cells form steady-state vortices in velocity, polarity, and cell stress with length scales that depend on polarity alignment rate (ζ), self-motility (v0), and cell-cell bond tension (λ). When the ratio λ/v0 becomes larger, the tissue reaches a near jamming state because of the inability of the cells to exchange their neighbors, and the length scale associated with tissue kinematics increases. A deeper examination of this jammed state provides insights into the mechanism of sustained swirl formation under CIL rule that is governed by the feedback between cell polarities and deformations. To gain additional understanding of how active forcing governed by CIL dynamics leads to large-scale tissue dynamics, we systematically coarse-grain cell stress, polarity, and motility and show that the tissue remains polar even on larger length scales. Overall, we explore the origin of swirling patterns during collective cell migration and obtain a connection between cell-level dynamics and large-scale cellular flow patterns observed in epithelial monolayers.

© 2023 S. Karger AG, Basel

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First-Page Preview

Received: June 05, 2022
Accepted: November 22, 2022
Published online: April 12, 2023

Number of Print Pages: 14
Number of Figures: 6
Number of Tables: 1

ISSN: 1422-6405 (Print)
eISSN: 1422-6421 (Online)

For additional information: https://www.karger.com/CTO

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