ArticlePLoS computational biology2016
Dynamics of Cell Ensembles on Adhesive Micropatterns: Bridging the Gap between Single Cell Spreading and Collective Cell Migration.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Combination of 3D Micro Contact Printing and Scraping Technique for Site Selective Cocultivation Across a Porous Micro Structured Scaffold.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Dynamic Organization of Cells in Colonic Epithelium is Encoded by Five Biological Rules.Biology of the cell · 2025Article
- Diffusion model predicts the geometry of actin cytoskeleton from cell morphology.PLoS computational biology · 2024Article
- Modelling cell shape in 3D structured environments: A quantitative comparison with experiments.PLoS computational biology · 2024Article
- Engineering tools for quantifying and manipulating forces in epithelia.Biophysics reviews · 2023Review
- Computational modeling and simulation of epithelial wound closure.Scientific reports · 2023Article
- Size-dependent response of cells in epithelial tissue modulated by contractile stress fibers.Biophysical journal · 2023Article
- Modelling of Tissue Invasion in Epithelial Monolayers.Life (Basel, Switzerland) · 2023Article
- Intrinsic cell rheology drives junction maturation.Nature communications · 2022Article
- Active chemo-mechanical feedbacks dictate the collective migration of cells on patterned surfaces.Biophysical journal · 2022Article
- Modelling the Collective Mechanical Regulation of the Structure and Morphology of Epithelial Cell Layers.Frontiers in cell and developmental biology · 2022Article
- High-Throughput Methods in the Discovery and Study of Biomaterials and Materiobiology.Chemical reviews · 2021Review
- Bridging from single to collective cell migration: A review of models and links to experiments.PLoS computational biology · 2020Review
- Cell-substrate mechanics guide collective cell migration through intercellular adhesion: a dynamic finite element cellular model.Biomechanics and modeling in mechanobiology · 2020Article
- Multiscale modelling of motility wave propagation in cell migration.Scientific reports · 2020Article
- A Lock Free Approach To Parallelize The Cellular Potts Model: Application To Ductal Carcinoma In Situ.Journal of integrative bioinformatics · 2020Article
- The Research Advance of Cell BridgesFrontiers in bioengineering and biotechnology · 2020Review
- Article
- From energy to cellular forces in the Cellular Potts Model: An algorithmic approach.PLoS computational biology · 2019Article
- Extracellular Matrix Geometry and Initial Adhesive Position Determine Stress Fiber Network Organization during Cell Spreading.Cell reports · 2019Article
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2 authors.
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Abstract
The collective dynamics of multicellular systems arise from the interplay of a few fundamental elements: growth, division and apoptosis of single cells; their mechanical and adhesive interactions with neighboring cells and the extracellular matrix; and the tendency of polarized cells to move. Micropatterned substrates are increasingly used to dissect the relative roles of these fundamental processes and to control the resulting dynamics. Here we show that a unifying computational framework based on the cellular Potts model can describe the experimentally observed cell dynamics over all relevant length scales. For single cells, the model correctly predicts the statistical distribution of the orientation of the cell division axis as well as the final organisation of the two daughters on a large range of micropatterns, including those situations in which a stable configuration is not achieved and rotation ensues. Large ensembles migrating in heterogeneous environments form non-adhesive regions of inward-curved arcs like in epithelial bridge formation. Collective migration leads to swirl formation with variations in cell area as observed experimentally. In each case, we also use our model to predict cell dynamics on patterns that have not been studied before.
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