ArticlePLoS computational biology2009
Predicting the distribution of spiral waves from cell properties in a developmental-path model of Dictyostelium pattern formation.
Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Spontaneous center formation in Dictyostelium discoideum.Scientific reports · 2019Article
- Article
- Fold-change detection and scale invariance of cell-cell signaling in social amoeba.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Regulation of Spatiotemporal Patterns by Biological Variability: General Principles and Applications to Dictyostelium discoideum.PLoS computational biology · 2015Review
- Perspective: network-guided pattern formation of neural dynamics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014Review
- Visualizing time-related data in biology, a review.Briefings in bioinformatics · 2014Review
- Predictability of spatio-temporal patterns in a lattice of coupled FitzHugh-Nagumo oscillators.Journal of the Royal Society, Interface · 2013Article
- Modeling the NF-κB mediated inflammatory response predicts cytokine waves in tissue.BMC systems biology · 2011Article
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2 authors.
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Abstract
The slime mold Dictyostelium discoideum is one of the model systems of biological pattern formation. One of the most successful answers to the challenge of establishing a spiral wave pattern in a colony of homogeneously distributed D. discoideum cells has been the suggestion of a developmental path the cells follow (Lauzeral and coworkers). This is a well-defined change in properties each cell undergoes on a longer time scale than the typical dynamics of the cell. Here we show that this concept leads to an inhomogeneous and systematic spatial distribution of spiral waves, which can be predicted from the distribution of cells on the developmental path. We propose specific experiments for checking whether such systematics are also found in data and thus, indirectly, provide evidence of a developmental path.
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