ArticlePLoS computational biology2023
Non-asymptotic transients away from steady states determine cellular responsiveness to dynamic spatial-temporal signals.
Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Solution landscape of reaction-diffusion systems reveals a nonlinear mechanism and spatial robustness of pattern formation.Fundamental research · 2026Article
- Decoding cellular population dynamics through mechanistic modelling and statistical data analysis.NPJ systems biology and applications · 2026Review
- Cell cycle oscillations in a polarity network facilitate state switching by morphogenetic cues.Science advances · 2026Article
- Polarization as a Process: The Potential of Process Ontology for Understanding Cellular Symmetry Breaking.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Start small: A model for tissue-wide planar cell polarity without morphogens.PLoS computational biology · 2026Article
- Cell cycle criticality as a mechanism for robust cell population control.Molecular systems biology · 2026Article
- Cell cycle oscillations in a polarity network facilitate state switching by morphogenetic cues.bioRxiv : the preprint server for biology · 2025Article
- Dynamical systems of fate and form in development.Seminars in cell & developmental biology · 2025Review
- From genes to patterns: five key dynamical systems concepts to decode developmental regulatory mechanisms.Development (Cambridge, England) · 2025Review
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
Majority of the theory on cell polarization and the understanding of cellular sensing and responsiveness to localized chemical cues has been based on the idea that non-polarized and polarized cell states can be represented by stable asymptotic switching between them. The existing model classes that describe the dynamics of signaling networks underlying polarization are formulated within the framework of autonomous systems. However these models do not simultaneously capture both, robust maintenance of polarized state longer than the signal duration, and retained responsiveness to signals with complex spatial-temporal distribution. Based on recent experimental evidence for criticality organization of biochemical networks, we challenge the current concepts and demonstrate that non-asymptotic signaling dynamics arising at criticality uniquely ensures optimal responsiveness to changing chemoattractant fields. We provide a framework to characterize non-asymptotic dynamics of system's state trajectories through a non-autonomous treatment of the system, further emphasizing the importance of (long) transient dynamics, as well as the necessity to change the mathematical formalism when describing biological systems that operate in changing environments.
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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.