ArticlePLoS computational biology2018
Method for the simulation of blood platelet shape and its evolution during activation.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Platelet activation near point-like source of agonist: Experimental insights and computational model.PloS one · 2024Article
- Cancer stem cell-immune cell crosstalk in breast tumor microenvironment: a determinant of therapeutic facet.Frontiers in immunology · 2023Review
- A prestressed intracellular biomechanical model for the platelet to capture the disc-to-sphere morphological change from resting to activated state.International journal of computational methods · 2022Article
- Article
- Optical uncaging of ADP reveals the early calcium dynamics in single, freely moving platelets.Biomedical optics express · 2020Article
- Megakaryocyte emperipolesis mediates membrane transfer from intracytoplasmic neutrophils to platelets.eLife · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a simple physically based quantitative model of blood platelet shape and its evolution during agonist-induced activation. The model is based on the consideration of two major cytoskeletal elements: the marginal band of microtubules and the submembrane cortex. Mathematically, we consider the problem of minimization of surface area constrained to confine the marginal band and a certain cellular volume. For resting platelets, the marginal band appears as a peripheral ring, allowing for the analytical solution of the minimization problem. Upon activation, the marginal band coils out of plane and forms 3D convoluted structure. We show that its shape is well approximated by an overcurved circle, a mathematical concept of closed curve with constant excessive curvature. Possible mechanisms leading to such marginal band coiling are discussed, resulting in simple parametric expression for the marginal band shape during platelet activation. The excessive curvature of marginal band is a convenient state variable which tracks the progress of activation. The cell surface is determined using numerical optimization. The shapes are strictly mathematically defined by only three parameters and show good agreement with literature data. They can be utilized in simulation of platelets interaction with different physical fields, e.g. for the description of hydrodynamic and mechanical properties of platelets, leading to better understanding of platelets margination and adhesion and thrombus formation in blood flow. It would also facilitate precise characterization of platelets in clinical diagnosis, where a novel optical model is needed for the correct solution of inverse light-scattering problem.
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