ArticleBiophysical journal2016
Criticality and Adaptivity in Enzymatic Networks.
Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Solving stochastic gene-expression models using queueing theory: A tutorial review.Biophysical journal · 2024Review
- Kullback-Leibler Divergence of an Open-Queuing Network of a Cell-Signal-Transduction Cascade.Entropy (Basel, Switzerland) · 2023Article
- Engineering self-organized criticality in living cells.Nature communications · 2021Article
- Novel Tunable Spatio-Temporal Patterns From a Simple Genetic Oscillator Circuit.Frontiers in bioengineering and biotechnology · 2020Article
- Synchronization of stochastic expressions drives the clustering of functionally related genes.Science advances · 2019Article
- Signal Percolation within a Bacterial Community.Cell systems · 2018Article
- Dynamical predictors of an imminent phenotypic switch in bacteria.Physical biology · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The contrast between the stochasticity of biochemical networks and the regularity of cellular behavior suggests that biological networks generate robust behavior from noisy constituents. Identifying the mechanisms that confer this ability on biological networks is essential to understanding cells. Here we show that queueing for a limited shared resource in broad classes of enzymatic networks in certain conditions leads to a critical state characterized by strong and long-ranged correlations between molecular species. An enzymatic network reaches this critical state when the input flux of its substrate is balanced by the maximum processing capacity of the network. We then consider enzymatic networks with adaptation, when the limiting resource (enzyme or cofactor) is produced in proportion to the demand for it. We show that the critical state becomes an attractor for these networks, which points toward the onset of self-organized criticality. We suggest that the adaptive queueing motif that leads to significant correlations between multiple species may be widespread in biological systems.
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Registered trials
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.