scholarly journals A Cellular Potts Model of single cell migration in presence of durotaxis

2016 ◽  
Vol 275 ◽  
pp. 57-70 ◽  
Author(s):  
R. Allena ◽  
M. Scianna ◽  
L. Preziosi
2018 ◽  
Author(s):  
Inge M. N. Wortel ◽  
Ioana Niculescu ◽  
P. Martijn Kolijn ◽  
Nir Gov ◽  
Rob J. de Boer ◽  
...  

ABSTRACTCell migration is astoundingly diverse. Molecular signatures, cell-cell and cell-matrix interactions, and environmental structures each play their part in shaping cell motion, yielding numerous different cell morphologies and migration modes. Nevertheless, in recent years, a simple unifying law was found to describe cell migration across many different cell types and contexts: faster cells turn less frequently. Given this universal coupling between speed and persistence (UCSP), from a modelling perspective it is important to know whether computational models of cell migration capture this speed-persistence link. Here, we present an in-depth characterisation of an existing Cellular Potts Model (CPM). We first show that this model robustly reproduces the UCSP without having been designed for this task. Instead, we show that this fundamental law of migration emerges spontaneously through a crosstalk of intracellular mechanisms, cell shape, and environmental constraints, resembling the dynamic nature of cell migration in vivo. Our model also reveals how cell shape dynamics can further constrain cell motility by limiting both the speed and persistence a cell can reach, and how a rigid environment such as the skin can restrict cell motility even further. Our results further validate the CPM as a model of cell migration, and shed new light on the speed-persistence coupling that has emerged as a fundamental property of migrating cells.SIGNIFICANCEThe universal coupling between speed and persistence (UCSP) is the first general quantitative law describing motility patterns across the versatile spectrum of migrating cells. Here, we show – for the first time – that this migration law emerges spontaneously in an existing, highly popular computational model of cell migration. Studying the UCSP in entirely different model frameworks, not explicitly built with this law in mind, can help uncover how intracellular dynamics, cell shape, and environment interact to produce the diverse motility patterns observed in migrating cells.


Author(s):  
Inge M.N. Wortel ◽  
Ioana Niculescu ◽  
P. Martijn Kolijn ◽  
Nir Gov ◽  
Rob J. de Boer ◽  
...  

Axioms ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 32
Author(s):  
Marco Scianna ◽  
Luigi Preziosi

Cell migration in highly constrained environments is fundamental in a wide variety of physiological and pathological phenomena. In particular, it has been experimentally shown that the migratory capacity of most cell lines depends on their ability to transmigrate through narrow constrictions, which in turn relies on their deformation capacity. In this respect, the nucleus, which occupies a large fraction of the cell volume and is substantially stiffer than the surrounding cytoplasm, imposes a major obstacle. This aspect has also been investigated with the use of microfluidic devices formed by dozens of arrays of aligned polymeric pillars that limit the available space for cell movement. Such experimental systems, in particular, in the designs developed by the groups of Denais and of Davidson, were here reproduced with a tailored version of the Cellular Potts model, a grid-based stochastic approach where cell dynamics are established by a Metropolis algorithm for energy minimization. The proposed model allowed quantitatively analyzing selected cell migratory determinants (e.g., the cell and nuclear speed and deformation, and forces acting at the nuclear membrane) in the case of different experimental setups. Most of the numerical results show a remarkable agreement with the corresponding empirical data.


RSC Advances ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 1875-1882
Author(s):  
Ronghe Xu ◽  
Xiaoli Zhao ◽  
Liqin Wang ◽  
Chuanwei Zhang ◽  
Yuze Mao ◽  
...  

An optimization approach based on the synthesis minimum energy was proposed for determining droplet wetting modes.


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