ArticleMethods in cell biology2012
Stochastic models of cell protrusion arising from spatiotemporal signaling and adhesion dynamics.
Article in Methods in cell biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Article
- Epithelial to Mesenchymal transition, eIF2α phosphorylation and Hsp70 expression enable greater tolerance in A549 cells to TiOScientific reports · 2019Article
- Axon growth regulation by a bistable molecular switch.Proceedings. Biological sciences · 2018Article
- MEDYAN: Mechanochemical Simulations of Contraction and Polarity Alignment in Actomyosin Networks.PLoS computational biology · 2016Article
- Bidirectional coupling between integrin-mediated signaling and actomyosin mechanics explains matrix-dependent intermittency of leading-edge motility.Molecular biology of the cell · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
During cell migration, local protrusion events are regulated by biochemical and physical processes that are in turn coordinated with the dynamic properties of cell-substratum adhesion structures. In this chapter, we present a modeling approach for integrating the apparent stochasticity and spatial dependence of signal transduction pathways that promote protrusion in tandem with adhesion dynamics. We describe our modeling framework, as well as its abstraction, parameterization, and validation against experimental data. Analytical techniques for identifying and evaluating the effects of model bistability on simulation simulation results are shown, and implications of this analysis for understanding cell protrusion behavior are offered.
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Registered trials
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