Collective migration and cell jamming

Sadati, Monirosadat; Qazvini, Nader Taheri; Krishnan, Ramaswamy; Park, Chan Young; Fredberg, Jeffrey J.

doi:10.1016/j.diff.2013.02.005

Cited by 231 publications

(224 citation statements)

References 42 publications

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“…such as elastic, solid-like behaviour on short timescales and fluid-like cell rearrangements at longer timescales [41][42][43][44][45][46][47][48]. Consistent with this description, confluent epithelial and endothelial sheets show spontaneous stress fluctuations that can propagate many cell lengths across cell monolayers [44,46].…”

Section: Cs-l15supporting

confidence: 57%

Sphingosine 1-phosphate receptor 1 regulates the directional migration of lymphatic endothelial cells in response to fluid shear stress

Surya

Michalaki

Huang

et al. 2016

J. R. Soc. Interface.

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The endothelial cells that line blood and lymphatic vessels undergo complex, collective migration and rearrangement processes during embryonic development, and are known to be exquisitely responsive to fluid flow. At present, the molecular mechanisms by which endothelial cells sense fluid flow remain incompletely understood. Here, we report that both the G-protein-coupled receptor sphingosine 1-phosphate receptor 1 (S1PR1) and its ligand sphingosine 1-phosphate (S1P) are required for collective upstream migration of human lymphatic microvascular endothelial cells in an in vitro setting. These findings are consistent with a model in which signalling via S1P and S1PR1 are integral components in the response of lymphatic endothelial cells to the stimulus provided by fluid flow.

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Section: Cs-l15supporting

confidence: 57%

Sphingosine 1-phosphate receptor 1 regulates the directional migration of lymphatic endothelial cells in response to fluid shear stress

Surya

Michalaki

Huang

et al. 2016

J. R. Soc. Interface.

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“…To the best of our knowledge, most dynamical versions of the vertex model seem to neglect fluctuations with a notable recent exception [53]. In contrast, recent traction microscopy experiments [14] suggest that these fluctuations might be a crucial ingredient in understanding collective cell migration. Finally, we point out a technical point that makes the implementation of VM somewhat challenging.…”

Section: Introductionmentioning

confidence: 97%

Active Vertex Model for Cell-Resolution Description of Epithelial Tissue Mechanics

Barton

Henkes

Weijer

et al. 2016

Preprint

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We introduce an Active Vertex Model (AVM) for cell-resolution studies of the mechanics of confluent epithelial tissues consisting of tens of thousands of cells, with a level of detail inaccessible to similar methods. The AVM combines the Vertex Model for confluent epithelial tissues with active matter dynamics. This introduces a natural description of the cell motion and accounts for motion patterns observed on multiple scales. Furthermore, cell contacts are generated dynamically from positions of cell centres. This not only enables efficient numerical implementation, but provides a natural description of the T1 transition events responsible for local tissue rearrangements. The AVM also includes cell alignment, cellspecific mechanical properties, cell growth, division and apoptosis. In addition, the AVM introduces a flexible, dynamically changing boundary of the epithelial sheet allowing for studies of phenomena such as the fingering instability or wound healing. We illustrate these capabilities with a number of case studies. Author summaryWe present a detailed analysis of the Active Vertex Model to study the mechanics of confluent epithelial tissues and cell monolayers. The model combines the commonly used Vertex Model for describing epithelial tissue mechanics with the active matter dynamics extensively studied in soft matter physics. We utlise an exact mathematical mapping that enables a very efficient numerical implementation using standard methods for simulating particle-based models. System sizes accessible to this model allow us to probe the dynamical motion patterns that occur in tissues over a range of length-and time-scales previously inaccessible to available simulation tools. Our model also includes a number of essential features required to properly describe actual biological systems such as cell growth, cell division and aptotsis, as well as the dynamic boundary of the epithelial sheet. This allows us to study phenomena such as the finger-like protrusions in cell monolayers and processes related to wound healing. The model is implemented into the SAMoS PLOS Computational Biology | https://doi

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“…In colloids and granular materials, the slowdown of movement with increasing density is known as jamming [2], a transition also observed in human panic evacuation [3]. Systems that exhibit all three of these phase transitions are, however, rare (but see recent work focusing on the last of these transitions in collective cellular movement during metazoan development [4] and reticulate pattern formation in cyanobacteria [5]). Here, we test the idea that a new model system exhibits all three transitions.…”

Section: Introductionmentioning

confidence: 99%

Social behaviour and collective motion in plant-animal worms

et al. 2016

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Social behaviour may enable organisms to occupy ecological niches that would otherwise be unavailable to them. Here, we test this major evolutionary principle by demonstrating self-organizing social behaviour in the plant-animal, Symsagittifera roscoffensis. These marine aceol flat worms rely for all of their nutrition on the algae within their bodies: hence their common name. We show that individual worms interact with one another to coordinate their movements so that even at low densities they begin to swim in small polarized groups and at increasing densities such flotillas turn into circular mills. We use computer simulations to: (i) determine if real worms interact socially by comparing them with virtual worms that do not interact and (ii) show that the social phase transitions of the real worms can occur based only on local interactions between and among them. We hypothesize that such social behaviour helps the worms to form the dense biofilms or mats observed on certain sunexposed sandy beaches in the upper intertidal of the East Atlantic and to become in effect a super-organismic seaweed in a habitat where macro-algal seaweeds cannot anchor themselves. Symsagittifera roscoffensis, a model organism in many other areas in biology (including stem cell regeneration), also seems to be an ideal model for understanding how individual behaviours can lead, through collective movement, to social assemblages.

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Collective migration and cell jamming

Cited by 231 publications

References 42 publications

Sphingosine 1-phosphate receptor 1 regulates the directional migration of lymphatic endothelial cells in response to fluid shear stress

Sphingosine 1-phosphate receptor 1 regulates the directional migration of lymphatic endothelial cells in response to fluid shear stress

Active Vertex Model for Cell-Resolution Description of Epithelial Tissue Mechanics

Social behaviour and collective motion in plant-animal worms

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