ArticleIn silico cell and tissue science2014
Probabilistic Voxel-Fe model for single cell motility in 3D.
Article in In silico cell and tissue science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
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Who cites it
12 citing papers in PubMed.
- A phase field model with stochastic input simulates cellular gradient sensing, morphodynamics, and fidelity of haptotaxis.PLoS computational biology · 2026Article
- A phase field model with stochastic input simulates cellular gradient sensing, morphodynamics, and fidelity of haptotaxis.bioRxiv : the preprint server for biology · 2026Article
- A phenomenological model for cell and nucleus deformation during cancer metastasis.Biomechanics and modeling in mechanobiology · 2018Article
- A model for cell migration in non-isotropic fibrin networks with an application to pancreatic tumor islets.Biomechanics and modeling in mechanobiology · 2018Article
- Computational modeling of single-cell mechanics and cytoskeletal mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2018Review
- Discrete particle model for cement infiltration within open-cell structures: Prevention of osteoporotic fracture.PloS one · 2018Article
- 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
- Comparison of cell migration mechanical strategies in three-dimensional matrices: a computational study.Interface focus · 2016Article
- Single-Cell Migration in Complex Microenvironments: Mechanics and Signaling Dynamics.Journal of biomechanical engineering · 2016Review
- Multiscale mechanobiology: computational models for integrating molecules to multicellular systems.Integrative biology : quantitative biosciences from nano to macro · 2015Review
- Towards a Mathematical Formalism for Semi-stochastic Cell-Level Computational Modeling of Tumor Initiation.Annals of biomedical engineering · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundCells respond to a variety of external stimuli regulated by the environment conditions. Mechanical, chemical and biological factors are of great interest and have been deeply studied. Furthermore, mathematical and computational models have been rapidly growing over the past few years, permitting researches to run complex scenarios saving time and resources. Usually these models focus on specific features of cell migration, making them only suitable to study restricted phenomena.
methodsHere we present a versatile finite element (FE) cell-scale 3D migration model based on probabilities depending in turn on ECM mechanical properties, chemical, fluid and boundary conditions.
resultsWith this approach we are able to capture important outcomes of cell migration such as: velocities, trajectories, cell shape and aspect ratio, cell stress or ECM displacements.
conclusionsThe modular form of the model will allow us to constantly update and redefine it as advancements are made in clarifying how cellular events take place.
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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.