ArticlePLoS computational biology2017
Funneled potential and flux landscapes dictate the stabilities of both the states and the flow: Fission yeast cell cycle.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Quantifying Landscape and Flux from Single-Cell Omics: Unraveling the Physical Mechanisms of Cell Function.JACS Au · 2025Review
- Uncovering underlying physical principles and driving forces of cell differentiation and reprogramming from single-cell transcriptomics.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Quantifying Dynamic Phenotypic Heterogeneity in Resistant Escherichia coli under Translation-Inhibiting Antibiotics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Quantifying nonequilibrium dynamics and thermodynamics of cell fate decision making in yeast under pheromone induction.Biophysics reviews · 2023Article
- Quantifying cancer cell plasticity with gene regulatory networks and single-cell dynamics.Frontiers in network physiology · 2023Review
- Perspectives on the landscape and flux theory for describing emergent behaviors of the biological systems.Journal of biological physics · 2022Review
- Role of noise and parametric variation in the dynamics of gene regulatory circuits.NPJ systems biology and applications · 2018Article
- Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems.PLoS computational biology · 2017Article
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4 authors.
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Abstract
Using fission yeast cell cycle as an example, we uncovered that the non-equilibrium network dynamics and global properties are determined by two essential features: the potential landscape and the flux landscape. These two landscapes can be quantified through the decomposition of the dynamics into the detailed balance preserving part and detailed balance breaking non-equilibrium part. While the funneled potential landscape is often crucial for the stability of the single attractor networks, we have uncovered that the funneled flux landscape is crucial for the emergence and maintenance of the stable limit cycle oscillation flow. This provides a new interpretation of the origin for the limit cycle oscillations: There are many cycles and loops existed flowing through the state space and forming the flux landscapes, each cycle with a probability flux going through the loop. The limit cycle emerges when a loop stands out and carries significantly more probability flux than other loops. We explore how robustness ratio (RR) as the gap or steepness versus averaged variations or roughness of the landscape, quantifying the degrees of the funneling of the underlying potential and flux landscapes. We state that these two landscapes complement each other with one crucial for stabilities of states on the cycle and the other crucial for the stability of the flow along the cycle. The flux is directly related to the speed of the cell cycle. This allows us to identify the key factors and structure elements of the networks in determining the stability, speed and robustness of the fission yeast cell cycle oscillations. We see that the non-equilibriumness characterized by the degree of detailed balance breaking from the energy pump quantified by the flux is the cause of the energy dissipation for initiating and sustaining the replications essential for the origin and evolution of life. Regulating the cell cycle speed is crucial for designing the prevention and curing strategy of cancer.
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