Reference : Dynamical differential expression (DyDE) reveals the period control mechanisms of the...
Scientific journals : Article
Engineering, computing & technology : Multidisciplinary, general & others
Systems Biomedicine
http://hdl.handle.net/10993/38848
Dynamical differential expression (DyDE) reveals the period control mechanisms of the Arabidopsis circadian oscillator
English
Mombaerts, Laurent mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Carignano, Alberto []
Robertson, Fiona []
Hearn, Timothy []
Junyang, Jin []
Hayden, David []
Rutterford, Zoe []
Hotta, Carlos []
Hubbard, Katherine []
Marti Ruiz, Maria []
Yuan, Ye []
Hannah, Matthew []
Goncalves, Jorge mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Webb, Alex []
2019
PLoS Computational Biology
Public Library of Science
Yes (verified by ORBilu)
International
1553-734X
1553-7358
San Francisco
CA
[en] Genetic Oscillator ; Computational Biology ; Dynamical Systems
[en] The circadian oscillator, an internal time-keeping device found in most organisms, enables timely regulation of daily biological activities by maintaining synchrony with the external environment. The mechanistic basis underlying the adjustment of circadian rhythms to changing external conditions, however, has yet to be clearly elucidated. We explored the mechanism of action of nicotinamide in Arabidopsis thaliana, a metabolite that lengthens the period of circadian rhythms, to understand the regulation of circadian period. To identify the key mechanisms involved in the circadian response to nicotinamide, we developed a systematic and practical modeling framework based on the identification and comparison of gene regulatory dynamics. Our mathematical predictions, confirmed by experimentation, identified key transcriptional regulatory mechanisms of circadian period and uncovered the role of blue light in the response of the circadian oscillator to nicotinamide. We suggest that our methodology could be adapted to predict mechanisms of drug action in complex biological systems.
http://hdl.handle.net/10993/38848
10.1371/journal.pcbi.1006674
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006674#sec016

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