Coupled oscillator cooperativity as a control mechanism in chronobiology

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Control of dynamical processes is vital for maintaining correct cell regulation and cell-fate decisions. Numerous regulatory networks show oscillatory behavior; however, our knowledge of how one oscillator behaves when stimulated by two or more external oscillatory signals is still missing. We explore this problem by constructing a synthetic oscillatory system in yeast and stimulate it with two external oscillatory signals. Letting model verification and prediction operate in a tight interplay with experimental observations, we find that stimulation with two external signals expands the plateau of entrainment and reduces the fluctuations of oscillations. Furthermore, by adjusting the phase differences of external signals, one can control the amplitude of oscillations, which is understood through the signal delay of the unperturbed oscillatory network. With this we reveal a direct amplitude dependency of downstream gene transcription. Taken together, these results suggest a new path to control oscillatory systems by coupled oscillator cooperativity.

OriginalsprogEngelsk
TidsskriftCell Systems
Vol/bind14
Udgave nummer5
Sider (fra-til)382-391.e5
Antal sider16
ISSN2405-4712
DOI
StatusUdgivet - 17 maj 2023

Bibliografisk note

Funding Information:
This work was supported partly by the National Key R&D Program of China (grant no. 2021YFF1200500 , 2019YFA09004500 , 2018YFA0902800 ), National Science Foundation of China (grant no. 31622022 , 31470819 ), and the Strategic Priority Research Program of the Chinese Academy of Sciences (grant no. XDB0480000 ). Furthermore, this work was supported by the Independent Research Fund Denmark (grant no. 9040-00116B ), the Novo Nordisk Foundation (grant no. NNF20OC0064978 ), the Danish National Research Foundation through StemPhys Center of Excellence (grant no. DNRF116 ), the Carlsberg Foundation (grant no. CF20-0621 ), and the Lundbeck Foundation (grant no. R347-2020-2250 ).

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© 2023 Elsevier Inc.

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