Evidence map›Paper›PMID 28892489›Full record

ArticlePLoS computational biology2017

Funneled potential and flux landscapes dictate the stabilities of both the states and the flow: Fission yeast cell cycle.

Xiaosheng Luo, Liufang Xu, Bo Han, Jin Wang

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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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiaosheng LuoApplied Science Department at Little Rock, University of Arkansas, Little Rock, Arkansas, United States of America.
Liufang XuBiophysics & Complex System Center and Theoretical Physics Center, Department of Physics, Jilin University, Changchun, Jilin, China.
Bo HanDepartment of Chemistry and Department of Physics and Department of Applied Mathematics, State University of New York at Stony Brook, Stony Brook, New York, United States of America.
Jin WangBiophysics & Complex System Center and Theoretical Physics Center, Department of Physics, Jilin University, Changchun, Jilin, China.ORCID http://orcid.org/0000-0002-2841-4913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cell CycleEntropyGene Regulatory NetworksGenes, FungalModels, StatisticalSchizosaccharomycesStochastic Processes

Identifiers

PMID28892489
PMCPMC5608438

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.