ArticleScientific reports2014
Assessing the role of spatial correlations during collective cell spreading.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Combining experiments and in silico modeling to infer the role of adhesion and proliferation on the collective dynamics of cells.Scientific reports · 2021Article
- Computational models of melanoma.Theoretical biology & medical modelling · 2020Review
- Spatial structure arising from chase-escape interactions with crowding.Scientific reports · 2019Article
- Quantifying the dominant growth mechanisms of dimorphic yeast using a lattice-based model.Journal of the Royal Society, Interface · 2017Article
- Article
- Identifying the necrotic zone boundary in tumour spheroids with pair-correlation functions.Journal of the Royal Society, Interface · 2016Article
- Modeling keratinocyte wound healing dynamics: Cell-cell adhesion promotes sustained collective migration.Journal of theoretical biology · 2016Article
- Standard melanoma-associated markers do not identify the MM127 metastatic melanoma cell line.Scientific reports · 2016Article
- Spatial moment dynamics for collective cell movement incorporating a neighbour-dependent directional bias.Journal of the Royal Society, Interface · 2015Article
- Quantifying two-dimensional filamentous and invasive growth spatial patterns in yeast colonies.PLoS computational biology · 2015Article
- Spectral analysis of pair-correlation bandwidth: application to cell biology images.Royal Society open science · 2015Article
- Interpreting scratch assays using pair density dynamics and approximate Bayesian computation.Open biology · 2014Article
- A parameterised mathematical model to elucidate osteoblast cell growth in a phosphate-glass microcarrier culture.Journal of tissue engineeringArticle
Corrections and comments
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Authors and funding
5 authors.
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Abstract
Spreading cell fronts are essential features of development, repair and disease processes. Many mathematical models used to describe the motion of cell fronts, such as Fisher's equation, invoke a mean-field assumption which implies that there is no spatial structure, such as cell clustering, present. Here, we examine the presence of spatial structure using a combination of in vitro circular barrier assays, discrete random walk simulations and pair correlation functions. In particular, we analyse discrete simulation data using pair correlation functions to show that spatial structure can form in a spreading population of cells either through sufficiently strong cell-to-cell adhesion or sufficiently rapid cell proliferation. We analyse images from a circular barrier assay describing the spreading of a population of MM127 melanoma cells using the same pair correlation functions. Our results indicate that the spreading melanoma cell populations remain very close to spatially uniform, suggesting that the strength of cell-to-cell adhesion and the rate of cell proliferation are both sufficiently small so as not to induce any spatial patterning in the spreading populations.
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