Literature DB >> 32193709

A hybrid model of intercellular tension and cell-matrix mechanical interactions in a multicellular geometry.

Lewis E Scott1, Lauren A Griggs1, Vani Narayanan1, Daniel E Conway1, Christopher A Lemmon1, Seth H Weinberg2,3,4.   

Abstract

Epithelial cells form continuous sheets of cells that exist in tensional homeostasis. Homeostasis is maintained through cell-to-cell junctions that distribute tension and balance forces between cells and their underlying matrix. Disruption of tensional homeostasis can lead to epithelial-mesenchymal transition (EMT), a transdifferentiation process in which epithelial cells adopt a mesenchymal phenotype, losing cell-cell adhesion and enhancing cellular motility. This process is critical during embryogenesis and wound healing, but is also dysregulated in many disease states. To further understand the role of intercellular tension in spatial patterning of epithelial cell monolayers, we developed a multicellular computational model of cell-cell and cell-substrate forces. This work builds on a hybrid cellular Potts model (CPM)-finite element model to evaluate cell-matrix mechanical feedback of an adherent multicellular cluster. Cellular movement is governed by thermodynamic constraints from cell volume, cell-cell and cell-matrix contacts, and durotaxis, which arises from cell-generated traction forces on a finite element substrate. Junction forces at cell-cell contacts balance these traction forces, thereby producing a mechanically stable epithelial monolayer. Simulations were compared to in vitro experiments using fluorescence-based junction force sensors in clusters of cells undergoing EMT. Results indicate that the multicellular CPM model can reproduce many aspects of EMT, including epithelial monolayer formation dynamics, changes in cell geometry, and spatial patterning of cell-cell forces in an epithelial tissue.

Keywords:  Cell mechanics; Cellular Potts model; Cell–cell junction forces; Epithelial–mesenchymal transition; Spatial patterning; Traction forces

Year:  2020        PMID: 32193709     DOI: 10.1007/s10237-020-01321-8

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  5 in total

1.  A data-assimilation approach to predict population dynamics during epithelial-mesenchymal transition.

Authors:  Mario J Mendez; Matthew J Hoffman; Elizabeth M Cherry; Christopher A Lemmon; Seth H Weinberg
Journal:  Biophys J       Date:  2022-07-14       Impact factor: 3.699

2.  Immunofluorescence Image Feature Analysis and Phenotype Scoring Pipeline for Distinguishing Epithelial-Mesenchymal Transition.

Authors:  Shreyas U Hirway; Nadiah T Hassan; Michael Sofroniou; Christopher A Lemmon; Seth H Weinberg
Journal:  Microsc Microanal       Date:  2021-08       Impact factor: 4.127

3.  Cellular mitosis predicts vessel stability in a mechanochemical model of sprouting angiogenesis.

Authors:  Patrick A Link; Rebecca L Heise; Seth H Weinberg
Journal:  Biomech Model Mechanobiol       Date:  2021-03-14

4.  Cell Fate Forecasting: A Data-Assimilation Approach to Predict Epithelial-Mesenchymal Transition.

Authors:  Mario J Mendez; Matthew J Hoffman; Elizabeth M Cherry; Christopher A Lemmon; Seth H Weinberg
Journal:  Biophys J       Date:  2020-02-15       Impact factor: 4.033

5.  Hyperosmotic stress induces epithelial-mesenchymal transition through rearrangements of focal adhesions in tubular epithelial cells.

Authors:  Takashi Miyano; Atsushi Suzuki; Naoya Sakamoto
Journal:  PLoS One       Date:  2021-12-21       Impact factor: 3.240

  5 in total

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