Emergence of collective oscillations in adaptive cells

Shou-Wen Wang () and Lei-Han Tang ()
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Shou-Wen Wang: Beijing Computational Science Research Center
Lei-Han Tang: Beijing Computational Science Research Center

Nature Communications, 2019, vol. 10, issue 1, 1-10

Abstract: Abstract Collective oscillations of cells in a population appear under diverse biological contexts. Here, we establish a set of common principles by categorising the response of individual cells against a time-varying signal. A positive intracellular signal relay of sufficient gain from participating cells is required to sustain the oscillations, together with phase matching. The two conditions yield quantitative predictions for the onset cell density and frequency in terms of measured single-cell and signal response functions. Through mathematical constructions, we show that cells that adapt to a constant stimulus fulfil the phase requirement by developing a leading phase in an active frequency window that enables cell-to-signal energy flow. Analysis of dynamical quorum sensing in several cellular systems with increasing biological complexity reaffirms the pivotal role of adaptation in powering oscillations in an otherwise dissipative cell-to-cell communication channel. The physical conditions identified also apply to synthetic oscillatory systems.

Date: 2019
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DOI: 10.1038/s41467-019-13573-9

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