Collective Movement of Epithelial Cells on a Collagen Gel Substrate

Haga, Hisashi; Irahara, Chikako; Kobayashi, Ryo; Nakagaki, Toshiyuki; Kawabata, Kazushige

doi:10.1529/biophysj.104.047654

Cited by 128 publications

(130 citation statements)

References 29 publications

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“…Figure 5 shows the results of variation of the Young's modulus of the substrate. It can be seen that a stiffer substrate gives less attenuation of the signal and hence the cells feel the presence of the surrounding cells less, which is consistent with the experimental findings of Haga et al (2005) in epithelial cells cultured on collagen gel versus glass substrates. Therefore, the velocity of the cells decreases as the substrate becomes stiffer, a result which is supported by experiments of Lo et al (2000) who found that the speed of fibroblasts was 1.7 times greater on substrates with stiffness of E s = 140 kdyn/cm 2 with respect to their speed on substrates with E s = 300 kdyn/cm 2 .…”

Section: A Two-cell Problemsupporting

confidence: 87%

A semi-stochastic cell-based formalism to model the dynamics of migration of cells in colonies

Vermolen

Gefen

2011

Biomech Model Mechanobiol

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We consider the movement and viability of individual cells in cell colonies. Cell movement is assumed to take place as a result of sensing the strain energy density as a mechanical stimulus. The model is based on tracking the displacement and viability of each individual cell in a cell colony. Several applications are shown, such as the dynamics of filling a gap within a fibroblast colony and the invasion of a cell colony. Though based on simple principles, the model is qualitatively validated by experiments on living fibroblasts on a flat substrate.

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Section: A Two-cell Problemsupporting

confidence: 87%

A semi-stochastic cell-based formalism to model the dynamics of migration of cells in colonies

Vermolen

Gefen

2011

Biomech Model Mechanobiol

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“…In different situations, Haga et al (34) have observed that, on a soft collagen substrate, growing MDCK cell islands migrate collectively, driven by a fibroblast-like leader cell. It is striking to observe similar phenotypes in situations that are so different.…”

Section: Migration Triggered By a Model Wound And Advantages Of The Amentioning

confidence: 99%

Collective migration of an epithelial monolayer in response to a model wound

Poujade

Grasland-Mongrain

Hertzog

et al. 2007

Proc. Natl. Acad. Sci. U.S.A.

852

997

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Using an original microfabrication-based technique, we experimentally study situations in which a virgin surface is presented to a confluent epithelium with no damage made to the cells. Although inspired by wound-healing experiments, the situation is markedly different from classical scratch wounding because it focuses on the influence of the free surface and uncouples it from the other possible contributions such as cell damage and/or permeabilization. Dealing with Madin-Darby canine kidney cells on various surfaces, we found that a sudden release of the available surface is sufficient to trigger collective motility. This migration is independent of the proliferation of the cells that mainly takes place on the fraction of the surface initially covered. We find that this motility is characterized by a duality between collective and individual behaviors. On the one hand, the velocity fields within the monolayer are very long range and involve many cells in a coordinated way. On the other hand, we have identified very active ''leader cells'' that precede a small cohort and destabilize the border by a fingering instability. The sides of the fingers reveal a pluricellular actin ''belt'' that may be at the origin of a mechanical signaling between the leader and the followers. Experiments performed with autocrine cells constitutively expressing hepatocyte growth factor (HGF) or in the presence of exogenous HGF show a higher average velocity of the border and no leader.collective motility ͉ epithelial cells ͉ microfabrication ͉ wound healing

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“…To determine whether the movements of cells in our model are coordinated, we calculated the spatial correlation of the velocity C(r), given by (Haga et al 2005)…”

Section: Movement Of Epithelial Cells In the Model Is Coordinatedmentioning

confidence: 99%

Computational model of cell positioning: directed and collective migration in the intestinal crypt epithelium

Wong

Chiam

Lim

et al. 2010

J. R. Soc. Interface.

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The epithelium of the intestinal crypt is a dynamic tissue undergoing constant regeneration through cell growth, cell division, cell differentiation and apoptosis. How the epithelial cells maintain correct positioning and how they migrate in a directed and collective fashion are still not well understood. In this paper, we developed a computational model to elucidate these processes. We show that differential adhesion between epithelial cells, caused by the differential activation of EphB receptors and ephrinB ligands along the crypt axis, is necessary to regulate cell positioning. Differential cell adhesion has been proposed previously to guide cell movement and cause cell sorting in biological tissues. The proliferative cells and the differentiated post-mitotic cells do not intermingle as long as differential adhesion is maintained. We also show that, without differential adhesion, Paneth cells are randomly distributed throughout the intestinal crypt. In addition, our model suggests that, with differential adhesion, cells migrate more rapidly as they approach the top of the intestinal crypt. Finally, by calculating the spatial correlation function of the cell velocities, we observe that differential adhesion results in the differentiated epithelial cells moving in a coordinated manner, where correlated velocities are maintained at large distances, suggesting that differential adhesion regulates coordinated migration of cells in tissues.

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Collective Movement of Epithelial Cells on a Collagen Gel Substrate

Cited by 128 publications

References 29 publications

A semi-stochastic cell-based formalism to model the dynamics of migration of cells in colonies

A semi-stochastic cell-based formalism to model the dynamics of migration of cells in colonies

Collective migration of an epithelial monolayer in response to a model wound

Computational model of cell positioning: directed and collective migration in the intestinal crypt epithelium

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