Faculty Opinions recommendation of Differential adhesion and actomyosin cable collaborate to drive Echinoid-mediated cell sorting.

2011 ◽  
Author(s):  
David Wilkinson
Keyword(s):  
Cell Sorting ◽  
Differential Adhesion

scholarly journals Computer Simulations of Cell Sorting Due to Differential Adhesion

PLoS ONE ◽  
2011 ◽  
Vol 6 (10) ◽  
pp. e24999 ◽  
Author(s):  
Ying Zhang ◽  
Gilberto L. Thomas ◽  
Maciej Swat ◽  
Abbas Shirinifard ◽  
James A. Glazier
Keyword(s):  
Computer Simulations ◽  
Cell Sorting ◽  
Differential Adhesion

scholarly journals Large-scale simulations of biological cell sorting driven by differential adhesion follow diffusion-limited domain coalescence regime

2020 ◽  
Author(s):  
Marc Durand
Keyword(s):  
Cell Sorting ◽  
Large Scale ◽  
Experimental Studies ◽  
Finite Size ◽  
Domain Size ◽  
Cellular Potts Model ◽  
Mixture Ratio ◽  
Cell Behaviors ◽  
Differential Adhesion ◽  
Initial Cluster

Cell sorting, whereby a heterogeneous cell mixture segregates and forms distinct homogeneous tissues, is one of the main collective cell behaviors at work during development. Although differences in interfacial energies are recognized to be a possible driving source for cell sorting, no clear consensus has emerged on the kinetic law of cell sorting driven by differential adhesion. Using a modified Cellular Potts Model algorithm that allows for efficient simulations while preserving the connectivity of cells, we numerically explore cell-sorting dynamics over unprecedentedly large scales in space and time. For a binary mixture of cells surrounded by a medium, increase of domain size follows a power-law with exponent n = 1/4 independently of the mixture ratio, revealing that the kinetics is dominated by the diffusion and coalescence of rounded domains. We compare these results with recent numerical and experimental studies on cell sorting, and discuss the importance of boundary conditions, space dimension, initial cluster geometry, and finite size effects on the observed scaling.

scholarly journals Model-Based Prediction of an Effective Adhesion Parameter Guiding Multi-Type Cell Segregation

Entropy ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. 1378
Author(s):  
Philipp Rossbach ◽  
Hans-Joachim Böhme ◽  
Steffen Lange ◽  
Anja Voss-Böhme
Keyword(s):  
Cell Sorting ◽  
Cell Types ◽  
Series Data ◽  
Analytical Prediction ◽  
Differential Migration ◽  
Migration Model ◽  
Differential Adhesion ◽  
Cell Segregation ◽  
Differential Adhesion Hypothesis ◽  
The Impact

The process of cell-sorting is essential for development and maintenance of tissues. Mathematical modeling can provide the means to analyze the consequences of different hypotheses about the underlying mechanisms. With the Differential Adhesion Hypothesis, Steinberg proposed that cell-sorting is determined by quantitative differences in cell-type-specific intercellular adhesion strengths. An implementation of the Differential Adhesion Hypothesis is the Differential Migration Model by Voss-Böhme and Deutsch. There, an effective adhesion parameter was derived analytically for systems with two cell types, which predicts the asymptotic sorting pattern. However, the existence and form of such a parameter for more than two cell types is unclear. Here, we generalize analytically the concept of an effective adhesion parameter to three and more cell types and demonstrate its existence numerically for three cell types based on in silico time-series data that is produced by a cellular-automaton implementation of the Differential Migration Model. Additionally, we classify the segregation behavior using statistical learning methods and show that the estimated effective adhesion parameter for three cell types matches our analytical prediction. Finally, we demonstrate that the effective adhesion parameter can resolve a recent dispute about the impact of interfacial adhesion, cortical tension and heterotypic repulsion on cell segregation.

A FUNCTIONAL DIFFERENTIAL EQUATION MODEL FOR BIOLOGICAL CELL SORTING DUE TO DIFFERENTIAL ADHESION

2012 ◽  
Vol 23 (01) ◽  
pp. 93-126 ◽  
Author(s):  
GREG LEMON ◽  
JOHN R. KING
Keyword(s):  
Mathematical Model ◽  
Cell Sorting ◽  
Biological Tissue ◽  
Numerical Solutions ◽  
Functional Differential Equations ◽  
Cell Types ◽  
Equation Model ◽  
Differential Adhesion ◽  
Novel Approach ◽  
Functional Differential

This paper presents a mathematical model to describe the sorting of two different types of cells, arising from differential adhesion mechanisms within biological tissue. The model is based on a continuum approach that takes into account individual cell behavior including aspects of the cell-migration process, dynamics of the adhesions between contacting cells, and finite cell size. Numerical solutions and bifurcation analyses for the case of a collection of two different cell types show a variety of behaviors observed in experiments, including spatially uniform mixing of cells and the formation of two distinct, containing both types of cells or just one. The mathematical model, which is in the form of a set of functional differential equations, represents a novel approach to continuum modeling of cell sorting and migration within biological tissue.

scholarly journals Quantitative Comparison between Differential Adhesion Models and Cell Sorting in the Presence and Absence of Fluctuations

1995 ◽  
Vol 75 (11) ◽  
pp. 2244-2247 ◽  
Author(s):  
José C. M. Mombach ◽  
James A. Glazier ◽  
Richard C. Raphael ◽  
Mark Zajac
Keyword(s):  
Cell Sorting ◽  
Quantitative Comparison ◽  
Differential Adhesion ◽  
Presence And Absence

scholarly journals Can retinal adhesion mechanisms determine cell-sorting patterns: a test of the differential adhesion hypothesis

Development ◽  
1988 ◽  
Vol 103 (1) ◽  
pp. 37-48
Author(s):  
W.A. Thomas ◽  
J. Yancey
Keyword(s):  
Cell Sorting ◽  
Cell Aggregation ◽  
Adhesion Mechanism ◽  
Differential Adhesion ◽  
Contrast Microscopy ◽  
Retinal Adhesion ◽  
Differential Adhesion Hypothesis

Embryonic chick neural retina cells possess two classes of adhesion mechanism, one Ca2+-independent, one Ca2+-dependent, responsible for short-term cell aggregation. This study investigates the role of these mechanisms in the long-term cell sorting potentially relevant to in vivo histogenesis. Retina cells are prepared either with both (E cells) or with only one mechanism (TC cells, CD; LTE cells, CI), respectively. The two types of cell preparations are differentially labelled using fluorescein or rhodamine isothiocyanate, mixed and allowed to aggregate in the presence or absence of cycloheximide at 0.5 microgram ml-1 to retard metabolic recovery of the removed adhesive mechanism. When observed by fluorescence and phase-contrast microscopy, the aggregates formed in cycloheximide show cell sorting, the cells with both mechanisms assuming a more interior position relative to those with a single adhesion mechanism. In parallel hanging-drop experiments, preformed aggregates of cells with a single adhesion mechanism are seen to spread upon aggregates of cells with both mechanisms. No sorting occurs amongst cells from a given stage prepared using any single dissociation protocol. The observed cell sorting would thus seem to derive exclusively from differential cell adhesiveness dependent upon the different dissociation conditions and maintained in the presence of cycloheximide. The experiments support the hypothesis that the dual CI and CD adhesion mechanisms in question can play a central role in governing cell-sorting behaviour during normal histogenesis.

scholarly journals Self-* properties through gossiping

2008 ◽  
Vol 366 (1881) ◽  
pp. 3747-3757 ◽  
Author(s):  
Ozalp Babaoglu ◽  
Márk Jelasity
Keyword(s):  
Cell Sorting ◽  
Mobile Agents ◽  
Large Scale ◽  
Overlay Networks ◽  
Biological Mechanism ◽  
Human Intervention ◽  
Differential Adhesion ◽  
Novel Approach ◽  
Large Numbers ◽  
Ubiquitous Systems

As computer systems have become more complex, numerous competing approaches have been proposed for these systems to self-configure, self-manage, self-repair, etc. such that human intervention in their operation can be minimized. In ubiquitous systems, this has always been a central issue as well. In this paper, we overview techniques to implement self-* properties in large-scale, decentralized networks through bio-inspired techniques in general, and gossip-based algorithms in particular. We believe that gossip-based algorithms could be an important inspiration for solving problems in ubiquitous computing as well. As an example, we outline a novel approach to arrange large numbers of mobile agents (e.g. vehicles, rescue teams carrying mobile devices) into different formations in a totally decentralized manner. The approach is inspired by the biological mechanism of cell sorting via differential adhesion, as well as by our earlier work in self-organizing peer-to-peer overlay networks.

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