Modeling keratinocyte wound healing dynamics: Cell-cell adhesion promotes sustained collective migration.
The in vitro migration of keratinocyte cell sheets displays behavioral and biochemical similarities to the in vivo wound healing response of keratinocytes in animal model systems. In both cases, ligand-dependent Epidermal Growth Factor Receptor (EGFR) activation is sufficient to elicit collective cell migration into the wound. Previous mathematical modeling studies of in vitro wound healing assays assume that physical connections between cells have a hindering effect on cell migration, but biological literature suggests a more complicated story. By combining mathematical modeling and experimental observations of collectively migrating sheets of keratinocytes, we investigate the role of cell-cell adhesion during in vitro keratinocyte wound healing assays. We develop and compare two nonlinear diffusion models of the wound healing process in which cell-cell adhesion either hinders or promotes migration. Both models can accurately fit the leading edge propagation of cell sheets during wound healing when using a time-dependent rate of cell-cell adhesion strength. The model that assumes a positive role of cell-cell adhesion on migration, however, is robust to changes in the leading edge definition and yields a qualitatively accurate density profile. Using RNAi for the critical adherens junction protein, α-catenin, we demonstrate that cell sheets with wild type cell-cell adhesion expression maintain migration into the wound longer than cell sheets with decreased cell-cell adhesion expression, which fails to exhibit collective migration. Our modeling and experimental data thus suggest that cell-cell adhesion promotes sustained migration as cells pull neighboring cells into the wound during wound healing.
Department of Applied Mathematics, University of Colorado, Boulder, CO 80309-0526, United States; Interdisciplinary Quantitative Biology Graduate Program, University of Colorado, Boulder, CO 80309-0596, United States.
John T
JT
Nardini
Department of Chemistry and Biochemistry, University of Colorado, Boulder, CO 80309-0596, United States. Electronic address: Douglas.Chapnick@colorado.edu.
Douglas A
DA
Chapnick
Department of Chemistry and Biochemistry, University of Colorado, Boulder, CO 80309-0596, United States.
Xuedong
X
Liu
Department of Applied Mathematics, University of Colorado, Boulder, CO 80309-0526, United States. Electronic address: dmbortz@colorado.edu.
David M
DM
Bortz
D000465:Algorithms; D002448:Cell Adhesion / Q000502:physiology; D002460:Cell Line; D002465:Cell Movement / Q000187:drug effects / Q000502:physiology*; D003198:Computer Simulation; D004815:Epidermal Growth Factor / Q000494:pharmacology; D066246:ErbB Receptors / Q000378:metabolism; D006801:Humans; D015603:Keratinocytes / Q000166:cytology / Q000378:metabolism / Q000502:physiology*; D007700:Kinetics; D008954:Models, Biological; D034622:RNA Interference; D013997:Time Factors; D014945:Wound Healing / Q000502:physiology*; D051178:alpha Catenin / Q000235:genetics / Q000378:metabolism
D051178:alpha Catenin; D004815:Epidermal Growth Factor; D066246:ErbB Receptors
Cell–cell adhesion; Collective migration; Epidermal growth factor; Keratinocytes; Nonlinear diffusion equations; Re-epithelialization; Wound healing assays