Detection of cellular rhythms and global stability within interlocked feedback systems.
In this paper, we show how to detect cellular rhythm and its global stability by extending the techniques from the recently developed theory of monotone systems. We establish theoretical results for globally asymptotic stability with consideration of delay by a discrete map. The relationship between positive, negative elements and delay in a general class of interlocked feedback networks can be understood in a system level. Moreover, the correspondence of attractors between a network and its reduced map is obtained and can be used to detect cellular rhythm, and further control the dynamics of the network. We show that global cellular rhythms can always be obtained, thereby enhancing robustness against perturbations of initial conditions and avoiding chaotic oscillations or complete abolishment of oscillations. In this paper, we focus on analyzing the circadian oscillator in Drosophila as an example to detect the occurrence of cellular rhythm and its global stability.
Wang
Ruiqi
R
ERATO Aihara Complexity Modelling Project, JST, Meguro, Tokyo 153-8505, Japan. rqwang@amss.ac.cn
Chen
Luonan
L
Aihara
Kazuyuki
K
D000818:Animals; D002940:Circadian Rhythm / Q000502:physiology*; D004330:Drosophila / Q000502:physiology*; D029721:Drosophila Proteins / Q000502:physiology; D025461:Feedback, Physiological / Q000502:physiology*; D008954:Models, Biological; D009687:Nuclear Proteins / Q000502:physiology; D009716:Numerical Analysis, Computer-Assisted; D056950:Period Circadian Proteins
D029721:Drosophila Proteins; D009687:Nuclear Proteins; C539040:PER protein, Drosophila; D056950:Period Circadian Proteins; C096445:tim protein, Drosophila