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Elisabeth G. Rens

Bio: Elisabeth G. Rens is an academic researcher from University of British Columbia. The author has contributed to research in topics: Cellular Potts model & Cell polarity. The author has an hindex of 7, co-authored 19 publications receiving 302 citations. Previous affiliations of Elisabeth G. Rens include Centrum Wiskunde & Informatica & Delft University of Technology.

Papers
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Journal ArticleDOI
TL;DR: A single set of biologically plausible rules describing the contractile forces that endothelial cells exert on the ECM, the resulting strains in the extracellular matrix, and the cellular response to the strains suffices for reproducing the behavior of individual endothelium cells and the interactions of endothelial cell pairs in compliant matrices are shown.
Abstract: In vitro cultures of endothelial cells are a widely used model system of the collective behavior of endothelial cells during vasculogenesis and angiogenesis. When seeded in an extracellular matrix, endothelial cells can form blood vessel-like structures, including vascular networks and sprouts. Endothelial morphogenesis depends on a large number of chemical and mechanical factors, including the compliancy of the extracellular matrix, the available growth factors, the adhesion of cells to the extracellular matrix, cell-cell signaling, etc. Although various computational models have been proposed to explain the role of each of these biochemical and biomechanical effects, the understanding of the mechanisms underlying in vitro angiogenesis is still incomplete. Most explanations focus on predicting the whole vascular network or sprout from the underlying cell behavior, and do not check if the same model also correctly captures the intermediate scale: the pairwise cell-cell interactions or single cell responses to ECM mechanics. Here we show, using a hybrid cellular Potts and finite element computational model, that a single set of biologically plausible rules describing (a) the contractile forces that endothelial cells exert on the ECM, (b) the resulting strains in the extracellular matrix, and (c) the cellular response to the strains, suffices for reproducing the behavior of individual endothelial cells and the interactions of endothelial cell pairs in compliant matrices. With the same set of rules, the model also reproduces network formation from scattered cells, and sprouting from endothelial spheroids. Combining the present mechanical model with aspects of previously proposed mechanical and chemical models may lead to a more complete understanding of in vitro angiogenesis.

170 citations

Journal ArticleDOI
TL;DR: The cellular Potts model (CPM; also known as the Glazier‐Graner‐Hogeweg model), an effective computational modeling framework, is reviewed, discussing its usability for modeling complex developmental phenomena.
Abstract: Mathematical modeling is an essential approach for the understanding of complex multicellular behaviors in tissue morphogenesis. Here, we review the cellular Potts model (CPM; also known as the Glazier-Graner-Hogeweg model), an effective computational modeling framework. We discuss its usability for modeling complex developmental phenomena by examining four fundamental examples of tissue morphogenesis: (i) cell sorting, (ii) cyst formation, (iii) tube morphogenesis in kidney development, and (iv) blood vessel formation. The review provides an introduction for biologists for starting simulation analysis using the CPM framework.

79 citations

Journal ArticleDOI
TL;DR: It is shown that a CPM model with internal signaling can be associated with retraction-protrusion forces that accompany cell shape changes and migration, and forces exerted by cells on one another in classic cell-sorting experiments.
Abstract: Single and collective cell dynamics, cell shape changes, and cell migration can be conveniently represented by the Cellular Potts Model, a computational platform based on minimization of a Hamiltonian. Using the fact that a force field is easily derived from a scalar energy (F = -∇H), we develop a simple algorithm to associate effective forces with cell shapes in the CPM. We predict the traction forces exerted by single cells of various shapes and sizes on a 2D substrate. While CPM forces are specified directly from the Hamiltonian on the cell perimeter, we approximate the force field inside the cell domain using interpolation, and refine the results with smoothing. Predicted forces compare favorably with experimentally measured cellular traction forces. We show that a CPM model with internal signaling (such as Rho-GTPase-related contractility) can be associated with retraction-protrusion forces that accompany cell shape changes and migration. We adapt the computations to multicellular systems, showing, for example, the forces that a pair of swirling cells exert on one another, demonstrating that our algorithm works equally well for interacting cells. Finally, we show forces exerted by cells on one another in classic cell-sorting experiments.

47 citations

Journal ArticleDOI
25 Sep 2020-iScience
TL;DR: A hybrid cellular Potts and finite-element model extended with ODE-based models of focal adhesion turnover shows that the full range of cell shape and durotaxis can be explained in unison from dynamics of FAs, in contrast to previous mathematical models.

40 citations

Journal ArticleDOI
TL;DR: A computational model shows that by amplifying local strain cues, active cell contractility can facilitate and accelerate the reorientation of single cells to static strains and predict that the magnitude of the uniaxial stretch and the strength of the contractile forces regulate a gradual transition between stringlike patterns and vascular networklike patterns.

37 citations


Cited by
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TL;DR: How the bi-directional relationship of cell–tissue interactions (mechanoreciprocity) allows cells to change position and contributes to single-cell and collective movement, structural and molecular tissue organization, and cell fate decisions is discussed.
Abstract: Cell migration is an adaptive process that depends on and responds to physical and molecular triggers. Moving cells sense and respond to tissue mechanics and induce transient or permanent tissue modifications, including extracellular matrix stiffening, compression and deformation, protein unfolding, proteolytic remodelling and jamming transitions. Here we discuss how the bi-directional relationship of cell-tissue interactions (mechanoreciprocity) allows cells to change position and contributes to single-cell and collective movement, structural and molecular tissue organization, and cell fate decisions.

389 citations

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TL;DR: An overview of agent-based models that are used to simulate mechanical and physiological phenomena in cells and tissues is presented, and the underlying concepts, limitations, and future perspectives of these models are discussed.
Abstract: In this paper we present an overview of agent-based models that are used to simulate mechanical and physiological phenomena in cells and tissues, and we discuss underlying concepts, limitations, and future perspectives of these models. As the interest in cell and tissue mechanics increase, agent-based models are becoming more common the modeling community. We overview the physical aspects, complexity, shortcomings, and capabilities of the major agent-based model categories: lattice-based models (cellular automata, lattice gas cellular automata, cellular Potts models), off-lattice models (center-based models, deformable cell models, vertex models), and hybrid discrete-continuum models. In this way, we hope to assist future researchers in choosing a model for the phenomenon they want to model and understand. The article also contains some novel results.

233 citations

Journal ArticleDOI
TL;DR: A range of techniques are discussed, ranging from models that represent cells as simple self-propelled particles to phase field models that can represent a cell's shape and dynamics in great detail, which extensively review the ways in which cells within a tissue choose their direction.
Abstract: In this article, we review physics-based models of collective cell motility. We discuss a range of techniques at different scales, ranging from models that represent cells as simple self-propelled particles to phase field models that can represent a cell's shape and dynamics in great detail. We also extensively review the ways in which cells within a tissue choose their direction, the statistics of cell motion, and some simple examples of how cell-cell signaling can interact with collective cell motility. This review also covers in more detail selected recent works on collective cell motion of small numbers of cells on micropatterns, in wound healing, and the chemotaxis of clusters of cells.

156 citations

Journal ArticleDOI
22 Aug 2018-Neuron
TL;DR: This work investigates the potential role of ECM in the formation of neocortical folds and focuses on three specific ECM components localized in the human fetal cortical plate: hyaluronan and proteoglycan link protein 1, lumican and collagen I (collectively, HLC).

129 citations

Journal ArticleDOI
TL;DR: Recent advances in the current understanding of mechanotransduction responses at, and derived from, endothelial cell–cell junctions are highlighted and their importance for vascular barrier function and remodeling in development, inflammation, and vascular disease is discussed.
Abstract: The vasculature is one of the most dynamic tissues that encounter numerous mechanical cues derived from pulsatile blood flow, blood pressure, activity of smooth muscle cells in the vessel wall, and transmigration of immune cells. The inner layer of blood and lymphatic vessels is covered by the endothelium, a monolayer of cells which separates blood from tissue, an important function that it fulfills even under the dynamic circumstances of the vascular microenvironment. In addition, remodeling of the endothelial barrier during angiogenesis and trafficking of immune cells is achieved by specific modulation of cell-cell adhesion structures between the endothelial cells. In recent years, there have been many new discoveries in the field of cellular mechanotransduction which controls the formation and destabilization of the vascular barrier. Force-induced adaptation at endothelial cell-cell adhesion structures is a crucial node in these processes that challenge the vascular barrier. One of the key examples of a force-induced molecular event is the recruitment of vinculin to the VE-cadherin complex upon pulling forces at cell-cell junctions. Here, we highlight recent advances in the current understanding of mechanotransduction responses at, and derived from, endothelial cell-cell junctions. We further discuss their importance for vascular barrier function and remodeling in development, inflammation, and vascular disease.

121 citations