ArticleJournal of mathematical biology2014
Signaling networks and cell motility: a computational approach using a phase field description.
Article in Journal of mathematical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 56 citations in OpenAlex.
- Computational models in directed cell migration.Frontiers in cell and developmental biology · 2026Review
- A mathematical model of fibrinogen-mediated erythrocyte-erythrocyte adhesion.Communications biology · 2023Article
- Investigating the nature of active forces in tissues reveals how contractile cells can form extensile monolayers.Nature materials · 2021Article
- Reversible elastic phase field approach and application to cell monolayers.The European physical journal. E, Soft matter · 2020Article
- A minimal computational model for three-dimensional cell migration.Journal of the Royal Society, Interface · 2019Article
- Article
- A phenomenological model for cell and nucleus deformation during cancer metastasis.Biomechanics and modeling in mechanobiology · 2018Article
- Guided by curvature: shaping cells by coupling curved membrane proteins and cytoskeletal forces.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Review
- Physical models of collective cell motility: from cell to tissue.Journal of physics D: Applied physics · 2017Article
- Modeling Contact Inhibition of Locomotion of Colliding Cells Migrating on Micropatterned Substrates.PLoS computational biology · 2016Article
- Mathematical modelling of angiogenesis using continuous cell-based models.Biomechanics and modeling in mechanobiology · 2016Article
- Review on experiment-based two- and three-dimensional models for wound healing.Interface focus · 2016Review
- Collective migration under hydrodynamic interactions: a computational approach.Interface focus · 2016Article
- A mechanism for cell motility by active polar gels.Journal of the Royal Society, Interface · 2015Article
- Collisions of deformable cells lead to collective migration.Scientific reports · 2015Article
- Diffuse interface models of locally inextensible vesicles in a viscous fluid.Journal of computational physics · 2014Article
- Polarity mechanisms such as contact inhibition of locomotion regulate persistent rotational motion of mammalian cells on micropatterns.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The processes of protrusion and retraction during cell movement are driven by the turnover and reorganization of the actin cytoskeleton. Within a reaction-diffusion model which combines processes along the cell membrane with processes within the cytoplasm a Turing type instability is used to form the necessary polarity to distinguish between cell front and rear and to initiate the formation of different organizational arrays within the cytoplasm leading to protrusion and retraction. A simplified biochemical network model for the activation of GTPase which accounts for the different dimensionality of the cell membrane and the cytoplasm is used for this purpose and combined with a classical Helfrich type model to account for bending and stiffness effects of the cell membrane. In addition streaming within the cytoplasm and the extracellular matrix is taken into account. Combining these phenomena allows to simulate the dynamics of cells and to reproduce the primary phenomenology of cell motility. The coupled model is formulated within a phase field approach and solved using adaptive finite elements.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.