ArticleBMC systems biology2008
Modeling cellular deformations using the level set formalism.
Article in BMC systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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46 citing papers in PubMed, 85 citations in OpenAlex.
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- Two Complementary Signaling Pathways Depict Eukaryotic Chemotaxis: A Mechanochemical Coupling Model.Frontiers in cell and developmental biology · 2021Article
- Tools for computational analysis of moving boundary problems in cellular mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Traveling and standing waves mediate pattern formation in cellular protrusions.Science advances · 2020Article
- Frequency-induced morphology alterations in microconfined biological cells.Medical & biological engineering & computing · 2019Article
- Wave patterns organize cellular protrusions and control cortical dynamics.Molecular systems biology · 2019Article
- Unite to divide - how models and biological experimentation have come together to reveal mechanisms of cytokinesis.Journal of cell science · 2018Review
- Micropipette Aspiration of Oocytes to Assess Cortical Tension.Methods in molecular biology (Clifton, N.J.) · 2018Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMany cellular processes involve substantial shape changes. Traditional simulations of these cell shape changes require that grids and boundaries be moved as the cell's shape evolves. Here we demonstrate that accurate cell shape changes can be recreated using level set methods (LSM), in which the cellular shape is defined implicitly, thereby eschewing the need for updating boundaries.
resultsWe obtain a viscoelastic model of Dictyostelium cells using micropipette aspiration and show how this viscoelastic model can be incorporated into LSM simulations to recreate the observed protrusion of cells into the micropipette faithfully. We also demonstrate the use of our techniques by simulating the cell shape changes elicited by the chemotactic response to an external chemoattractant gradient.
conclusionOur results provide a simple but effective means of incorporating cellular deformations into mathematical simulations of cell signaling. Such methods will be useful for simulating important cellular events such as chemotaxis and cytokinesis.
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