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  Effects of developmental variability on the dynamics and self-organization of cell populations

Prabhakara, K. H., Gholami, A., Zykov, V. S., & Bodenschatz, E. (2017). Effects of developmental variability on the dynamics and self-organization of cell populations. New Journal of Physics, 19(11): 113024. doi:10.1088/1367-2630/aa9391.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-61B0-A Version Permalink: http://hdl.handle.net/21.11116/0000-0001-77D7-7
Genre: Journal Article

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 Creators:
Prabhakara, Kaumudi H.1, Author              
Gholami, Azam1, Author              
Zykov, Vladimir S.1, Author              
Bodenschatz, Eberhard1, Author              
Affiliations:
1Laboratory for Fluid Dynamics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063287              

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Free keywords: Dictyostelium discoideum; pattern formation; spirals and targets; developmental variability; modified Kessler-Levine model
 Abstract: We report experimental and theoretical results for spatiotemporal pattern formation in cell populations, where the parameters vary in space and time due to mechanisms intrinsic to the system, namely Dictyostelium discoideum (D.d.) in the starvation phase. We find that different patterns are formed when the populations are initialized at different developmental stages, or when populations at different initial developmental stages are mixed. The experimentally observed patterns can be understood with a modified Kessler-Levine model that takes into account the initial spatial heterogeneity of the cell populations and a developmental path introduced by us, i.e. the time dependence of the various biochemical parameters. The dynamics of the parameters agree with known biochemical studies. Most importantly, the modified model reproduces not only our results, but also the observations of an independent experiment published earlier. This shows that pattern formation can be used to understand and quantify the temporal evolution of the system parameters.

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Language(s): eng - English
 Dates: 2017-11-15
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1088/1367-2630/aa9391
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Title: New Journal of Physics
Source Genre: Journal
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Publ. Info: -
Pages: 15 Volume / Issue: 19 (11) Sequence Number: 113024 Start / End Page: - Identifier: -