Segregation mechanisms of tissue cells: from experimental data to models

Méhes, Előd; Vicsek, Tamás

doi:10.1186/2194-3206-1-4

Cited by 23 publications

(26 citation statements)

References 38 publications

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“…This is qualitatively in agreement with the scaling reported from experiments. Méhes et al [7,43] studied the kinetics of cell sorting in mixtures of keratocytes from various species. For mixtures of primary fish keratocytes and EPC keratocytes, the interface index g and the growth of homotypic clusters were approximately linear on a log -log scale (over one decade of data).…”

Section: Discussionmentioning

confidence: 99%

A kinetic mechanism for cell sorting based on local variations in cell motility

et al. 2014

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Our current understanding of cell sorting relies on physical difference, either in the interfacial properties or motile force, between cell types. But is such asymmetry a prerequisite for cell sorting? We test this using a minimal model in which the two cell populations are identical with respect to their physical properties and differences in motility arise solely from how cells interact with their surroundings. The model resembles the Schelling model used in social sciences to study segregation phenomena at the scale of societies. Our results demonstrate that segregation can emerge solely from cell motility being a dynamic property that changes in response to the local environment of the cell, but that additional mechanisms are necessary to reproduce the envelopment behaviour observed in vitro . The time course of segregation follows a power law, in agreement with the scaling reported from experiment and in other models of motility-driven segregation.

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Section: Discussionmentioning

confidence: 99%

A kinetic mechanism for cell sorting based on local variations in cell motility

et al. 2014

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“…45 The impact of geometrical confinement on 2-dimensional collective cell migration has been brought to focus recently by experiments with micropatterned surfaces permitting cell adhesion. In confluent population epithelial cells, collective motion is induced by confinement to areas of physical size below 50 the correlation length of motion measured in the unconfined population. Cell density has a permissive role in this as collective motion does not emerge below confluence.…”

Section: The Role Of Leadershipmentioning

confidence: 99%

“…7 The branching morphogenesis of the vascular network of a wide range of species from birds to mammals is also a known example of collective migration of polarized multicellular strands that are forming a tubular network. 8 50 A somewhat special form of 3-dimensional collective migration is the migration of the completely isolated group of border cells towards the oocyte through the tissue stroma made up of nurse cells in the developing egg chamber of the fruit fly. 9 During collective invasion observed in several human cancer 55 types, such as epithelial cancers and melanomas, detached cell groups with front/rear polarity can migrate across tissues after tissue remodeling by the secretion of metalloprotease enzymes, cleaving the extracellular matrix.…”

Section: Introductionmentioning

confidence: 99%

Collective motion of cells: from experiments to models

2014

Self Cite

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Swarming or collective motion of living entities is one of the most common and spectacular manifestations of living systems that have been extensively studied in recent years. A number of general principles have been established. The interactions at the level of cells are quite different from those among individual animals, therefore the study of collective motion of cells is likely to reveal some specific important features which we plan to overview in this paper. In addition to presenting the most appealing results from the quickly growing related literature we also deliver a critical discussion of the emerging picture and summarize our present understanding of collective motion at the cellular level. Collective motion of cells plays an essential role in a number of experimental and real-life situations. In most cases the coordinated motion is a helpful aspect of the given phenomenon and results in making a related process more efficient (e.g., embryogenesis or wound healing), while in the case of tumor cell invasion it appears to speed up the progression of the disease. In these mechanisms cells both have to be motile and adhere to one another, the adherence feature being the most specific to this sort of collective behavior. One of the central aims of this review is to present the related experimental observations and treat them in light of a few basic computational models so as to make an interpretation of the phenomena at a quantitative level as well.

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“…While modeling entities as agents does not inherently require animation, agent-based modeling tools often do offer advanced animation capabilities thereby serving not only as models for understanding the formation of structure (such as reviewed by Méhes and Vicsek in [7]) but also as a means of in silico validation of nature-inspired emergent behaviors and concepts [8]. …”

Section: Introductionmentioning

confidence: 99%

Emergence of a Snake-Like Structure in Mobile Distributed Agents: An Exploratory Agent-Based Modeling Approach

Niazi

2014

The Scientific World Journal

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The body structure of snakes is composed of numerous natural components thereby making it resilient, flexible, adaptive, and dynamic. In contrast, current computer animations as well as physical implementations of snake-like autonomous structures are typically designed to use either a single or a relatively smaller number of components. As a result, not only these artificial structures are constrained by the dimensions of the constituent components but often also require relatively more computationally intensive algorithms to model and animate. Still, these animations often lack life-like resilience and adaptation. This paper presents a solution to the problem of modeling snake-like structures by proposing an agent-based, self-organizing algorithm resulting in an emergent and surprisingly resilient dynamic structure involving a minimal of interagent communication. Extensive simulation experiments demonstrate the effectiveness as well as resilience of the proposed approach. The ideas originating from the proposed algorithm can not only be used for developing self-organizing animations but can also have practical applications such as in the form of complex, autonomous, evolvable robots with self-organizing, mobile components with minimal individual computational capabilities. The work also demonstrates the utility of exploratory agent-based modeling (EABM) in the engineering of artificial life-like complex adaptive systems.

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Segregation mechanisms of tissue cells: from experimental data to models

Cited by 23 publications

References 38 publications

A kinetic mechanism for cell sorting based on local variations in cell motility

A kinetic mechanism for cell sorting based on local variations in cell motility

Collective motion of cells: from experiments to models

Emergence of a Snake-Like Structure in Mobile Distributed Agents: An Exploratory Agent-Based Modeling Approach

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