ArticlePloS one2008
Functional analysis of spontaneous cell movement under different physiological conditions.
Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed, 183 citations in OpenAlex.
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- Comparative mapping of crawling-cell morphodynamics in deep learning-based feature space.PLoS computational biology · 2021Article
- Critical role of lipid membranes in polarization and migration of cells: a biophysical view.Biophysical reviews · 2021Review
- CompuCell3D Simulations Reproduce Mesenchymal Cell Migration on Flat Substrates.Biophysical journal · 2020Article
- Single-molecule imaging of PI(4,5)PCommunications biology · 2020Article
- A mechanical toy model linking cell-substrate adhesion to multiple cellular migratory responses.Journal of biological physics · 2019Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cells can show not only spontaneous movement but also tactic responses to environmental signals. Since the former can be regarded as the basis to realize the latter, playing essential roles in various cellular functions, it is important to investigate spontaneous movement quantitatively at different physiological conditions in relation to a cell's physiological functions. For that purpose, we observed a series of spontaneous movements by Dictyostelium cells at different developmental periods by using a single cell tracking system. Using statistical analysis of these traced data, we found that cells showed complex dynamics with anomalous diffusion and that their velocity distribution had power-law tails in all conditions. Furthermore, as development proceeded, average velocity and persistency of the movement increased and as too did the exponential behavior in the velocity distribution. Based on these results, we succeeded in applying a generalized Langevin model to the experimental data. With this model, we discuss the relation of spontaneous cell movement to cellular physiological function and its relevance to behavioral strategies for cell survival.
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