Correlating cell shape and cellular stress in motile confluent tissues

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Xingbo Yang - , Harvard University (Author)
  • Dapeng Bi - , Northeastern University (Author)
  • Michael Czajkowski - , Syracuse University (Author)
  • Matthias Merkel - , Syracuse University (Author)
  • M. Lisa Manning - , Syracuse University (Author)
  • M. Cristina Marchetti - , Syracuse University (Author)

Abstract

Collective cell migration is a highly regulated process involved in wound healing, cancer metastasis, and morphogenesis. Mechanical interactions among cells provide an important regulatory mechanism to coordinate such collective motion. Using a self-propelled Voronoi (SPV) model that links cell mechanics to cell shape and cell motility, we formulate a generalized mechanical inference method to obtain the spatiotemporal distribution of cellular stresses from measured traction forces in motile tissues and show that such traction-based stresses match those calculated from instantaneous cell shapes. We additionally use stress information to characterize the rheological properties of the tissue. We identify a motility-induced swim stress that adds to the interaction stress to determine the global contractility or extensibility of epithelia. We further show that the temporal correlation of the interaction shear stress determines an effective viscosity of the tissue that diverges at the liquid–solid transition, suggesting the possibility of extracting rheological information directly from traction data.

Details

Original languageEnglish
Pages (from-to)12663-12668
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume114
Issue number48
Publication statusPublished - 28 Nov 2017
Peer-reviewedYes
Externally publishedYes

External IDs

PubMed 29138312

Keywords

Sustainable Development Goals

ASJC Scopus subject areas

Keywords

  • Cell shape, Cell stress, Phase transition, Self-propelled, Vertex model