title: Computational model to probe cellular mechanics during epithelial-mesenchymal transition.
abstract: During the epithelial to mesenchymal transition (EMT), polarized cells in the epithelium can undergo a transformation characterized by the loss of cell-cell junctions and increased migratory activity into nonpolarized invasive cells. These cells adopt a mesenchymal shape and migrate into the basal lamina. Such transitions have been observed in developmental processes and have been linked to cancer cell metastasis. Most experimental studies on EMT search for molecular markers indicating an epithelial or mesenchymal conformation, focussing on afferent signaling pathways received by cells undergoing this transformation; however, these approaches are unable to track mechanical changes in the cell and the possible role this plays in EMT. In order to address this gap in our understanding, we have used a quantitative approach to study population level effects of single cell changes typically occurring during EMT. We have developed a computational model making use of the advantages of both single cell migratory models and agent-based cell population models to study the effect of cellular molecular processes in EMT. The disruption of a cell sheet representing the epithelium over a dense extracellular matrix (ECM) is simulated using interaction forces between different cells and between cells and discrete fibers representing the ECM. In our study, two different parameters were varied: protrusion force magnitude and E-cadherin (cell-cell junction) concentration. The cell population was tracked for 3 days and the number of cells that leave the layer, the depth of invasion, and the percentage of initial number of cells that remain in the layer (a measure of epithelium disruption) were monitored. Our studies suggest that having a high protrusion force or a reduction in cell-cell attachments is enough to cause EMT. Our results also demonstrate that the morphological progression in membrane disruption has an effect on the number of cells becoming invasive, with epithelial layers broken into clusters hindering the further exodus of cells. The results reveal the quantitative interplay between two key parameters involved in EMT and suggest potential avenues for further exploration of a systems level understanding of EMT.
authors.affiliation: Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
authors.forename: Diego A
authors.initials: DA
authors.lastname: Vargas
authors.forename: Oliver
authors.initials: O
authors.lastname: Bates
authors.forename: Muhammad H
authors.initials: MH
authors.lastname: Zaman
mesh_terms: D001696:Biomechanical Phenomena; D002450:Cell Communication / Q000502:physiology; D003198:Computer Simulation; D058750:Epithelial-Mesenchymal Transition / Q000235:genetics / Q000502:physiology*; D006801:Humans; D008954:Models, Biological; D015398:Signal Transduction