期刊
MOLECULAR SYSTEMS BIOLOGY
卷 11, 期 1, 页码 -出版社
WILEY
DOI: 10.15252/msb.20145352
关键词
dynamical systems; FRET; live microscopy; phenomenological modeling
资金
- NIH [P50 GM071508, R01 GM098407, K25 GM086909, K25 GM098875]
- NSF-DMR [0819860]
- Searle Scholar Award [10-SSP-274]
- NIH NRSA [F32 GM103062]
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [P50GM071508, R01GM098407, K25GM098875, K25GM086909] Funding Source: NIH RePORTER
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.
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