title: From intracellular signaling to population oscillations: bridging size- and time-scales in collective behavior.
abstract: Collective 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.
authors.affiliation: Joseph Henry Laboratories of Physics, Princeton University, Princeton, NJ, USA Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA asgro@princeton.edu.
authors.forename: Allyson E
authors.initials: AE
authors.lastname: Sgro
authors.affiliation: Joseph Henry Laboratories of Physics, Princeton University, Princeton, NJ, USA Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
authors.forename: David J
authors.initials: DJ
authors.lastname: Schwab
authors.affiliation: Department of Physics, Boston University, Boston, MA, USA.
authors.forename: Javad
authors.initials: J
authors.lastname: Noorbakhsh
authors.affiliation: Joseph Henry Laboratories of Physics, Princeton University, Princeton, NJ, USA.
authors.forename: Troy
authors.initials: T
authors.lastname: Mestler
authors.affiliation: Department of Physics, Boston University, Boston, MA, USA.
authors.forename: Pankaj
authors.initials: P
authors.lastname: Mehta
authors.affiliation: Joseph Henry Laboratories of Physics, Princeton University, Princeton, NJ, USA Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
authors.forename: Thomas
authors.initials: T
authors.lastname: Gregor
mesh_terms: D004023:Dictyostelium / Q000166:cytology*; D005786:Gene Expression Regulation; D007091:Image Processing, Computer-Assisted; D046210:Microfluidic Analytical Techniques / Q000295:instrumentation; D056004:Molecular Dynamics Simulation; D015398:Signal Transduction
keywords: FRET; dynamical systems; live microscopy; phenomenological modeling