Scientific Reports · 2019 · 30 citations · 54 references
Life SciencesBiologyCell BiologyCell CycleCell SignalingNetwork BiologyCell Cycle ControlCell Cycle TransitionsCell-cycle CheckpointsCell-cycle PhasesCell-cycle RegulationMitosisCell Cycle DynamicsCell Cycle ModelsCell-cycle Checkpoint RegulationCheckpointsFeedback Loops In Cell Cycle ControlOscillator ModelingPositive FeedbackStable Motifs
We perform logic-based network analysis on a model of the mammalian cell cycle. This model is composed of a Restriction Switch driving cell cycle commitment and a Phase Switch driving mitotic entry and exit. By generalizing the concept of stable motif, i.e., a self-sustaining positive feedback loop that maintains an associated state, we introduce the concept of a conditionally stable motif, the stability of which is contingent on external conditions. We show that the stable motifs of the Phase Switch are contingent on the state of three nodes through which it receives input from the rest of the network. Biologically, these conditions correspond to cell cycle checkpoints. Holding these nodes locked (akin to a checkpoint-free cell) transforms the Phase Switch into an autonomous oscillator that robustly toggles through the cell cycle phases G1, G2 and mitosis. The conditionally stable motifs of the Phase Switch Oscillator are organized into an ordered sequence, such that they serially stabilize each other but also cause their own destabilization. Along the way they channel the dynamics of the module onto a narrow path in state space, lending robustness to the oscillation. Self-destabilizing conditionally stable motifs suggest a general negative feedback mechanism leading to sustained oscillations.
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Hierarchical Organization of Modularity in Metabolic Networks
A. L. Somera, D. A. Mongru, Zoltán N. Oltvai et al. · Science · 2002 · 4.3K citations · Full text
The yeast cell-cycle network is robustly designed
Fangting Li, Tao Long, Ying Lu et al. · Proceedings of the National Academy of Sciences · 2004 · 1.1K citations · Full text
Life Sciences, Biology, Cell Biology +16