# From intracellular signaling to population oscillations: bridging size- and time-scales in collective behavior

## Author(s): Sgro, Allyson E; Schwab, David J; Noorbakhsh, Javad; Mestler, Troy; Mehta, Pankaj; et al

To refer to this page use: http://arks.princeton.edu/ark:/88435/pr1693f
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dc.contributor.authorSgro, Allyson E-
dc.contributor.authorSchwab, David J-
dc.contributor.authorMestler, Troy-
dc.contributor.authorMehta, Pankaj-
dc.contributor.authorGregor, Thomas-
dc.date.accessioned2017-11-21T19:20:58Z-
dc.date.available2017-11-21T19:20:58Z-
dc.date.issued2015-01en_US
dc.identifier.citationSgro, A. E., Schwab, D. J., Noorbakhsh, J., Mestler, T., Mehta, P., & Gregor, T. (2015). From intracellular signaling to population oscillations: bridging size‐and time‐scales in collective behavior. Molecular systems biology, 11(1), 779en_US
dc.identifier.issn1744-4292-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1693f-
dc.description.abstractCollective behavior in cellular populations is coordinated by biochemical signaling networks within individual cells. Connecting the dynamics of these intracellular networks to the population phenomena they control poses a considerable challenge because of network complexity and our limited knowledge of kinetic parameters. However, from physical systems, we know that behavioral changes in the individual constituents of a collectively behaving system occur in a limited number of well-defined classes, and these can be described using simple models. Here, we apply such an approach to the emergence of collective oscillations in cellular populations of the social amoeba Dictyostelium discoideum. Through direct tests of our model with quantitative in vivo measurements of single-cell and population signaling dynamics, we show how a simple model can effectively describe a complex molecular signaling network at multiple size and temporal scales. The model predicts novel noise-driven single-cell and population-level signaling phenomena that we then experimentally observe. Our results suggest that like physical systems, collective behavior in biology may be universal and described using simple mathematical models.en_US
dc.format.extent779:1-16en_US
dc.language.isoenen_US
dc.relation.ispartofMOLECULAR SYSTEMS BIOLOGYen_US
dc.rightsFinal published version. This is an open access article.en_US
dc.titleFrom intracellular signaling to population oscillations: bridging size- and time-scales in collective behavioren_US
dc.typeJournal Articleen_US
dc.identifier.doi10.15252/msb.20145352-
dc.date.eissued2015-01-05en_US
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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