ArticlePhysical biology2014
Modeling self-organized spatio-temporal patterns of PIP₃ and PTEN during spontaneous cell polarization.
Article in Physical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Artificial cell system as a tool for investigating pattern formation mechanisms of intracellular reaction-diffusion waves.Biophysics and physicobiology · 2024Review
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- Article
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- Actin Waves and Dynamic Patterning of the Plasma Membrane.The Yale journal of biology and medicine · 2019Article
- Excitable dynamics of Ras triggers spontaneous symmetry breaking of PIP3 signaling in motile cells.Journal of cell science · 2019Article
- Mutual inhibition between PTEN and PIP3 generates bistability for polarity in motile cells.Nature communications · 2018Article
- Oscillatory Switches of Dorso-Ventral Polarity in Cells Confined between Two Surfaces.Biophysical journal · 2018Article
- Modeling random crawling, membrane deformation and intracellular polarity of motile amoeboid cells.PloS one · 2018Article
- Effects of 3D geometries on cellular gradient sensing and polarization.Physical biology · 2016Article
- Scanning x-ray nanodiffraction on Dictyostelium discoideum.Biophysical journal · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
During spontaneous cell polarization of Dictyostelium discoideum cells, phosphatidylinositol (3,4,5)-triphoshpate (PIP3) and PTEN (phosphatase tensin homolog) have been identified as key signaling molecules which govern the process of polarization in a self-organized manner. Recent experiments have quantified the spatio-temporal dynamics of these signaling components. Surprisingly, it was found that membrane-bound PTEN can be either in a high or low state, that PIP3 waves were initiated in areas lacking PTEN through an excitable mechanism, and that PIP3 was degraded even though the PTEN concentration remained low. Here we develop a reaction-diffusion model that aims to explain these experimental findings. Our model contains bistable dynamics for PTEN, excitable dynamics for PIP3, and postulates the existence of two species of PTEN with different dephosphorylation rates. We show that our model is able to produce results that are in good qualitative agreement with the experiments, suggesting that our reaction-diffusion model underlies the self-organized spatio-temporal patterns observed in experiments.
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Registered trials
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