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Record W4408967172 · doi:10.1016/j.physd.2025.134645

Oscillatory instabilities in dynamically active signaling compartments coupled via bulk diffusion in a 3-D spherical domain

2025· article· en· W4408967172 on OpenAlexfundno aff
Sarafa A. Iyaniwura, Michael J. Ward

Bibliographic record

VenuePhysica D Nonlinear Phenomena · 2025
Typearticle
Languageen
FieldComputer Science
TopicNonlinear Dynamics and Pattern Formation
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDomain (mathematical analysis)DiffusionSignallingPhysicsMechanicsControl theory (sociology)MathematicsComputer scienceMathematical analysisThermodynamicsControl (management)

Abstract

fetched live from OpenAlex

For a coupled cell-bulk ODE-PDE model in a 3-D spherical domain, we analyze oscillatory dynamics in spatially segregated dynamically active signaling compartments that are coupled through a passive extracellular bulk diffusion field. Within the confining spherical domain, the signaling compartments are a collection of small spheres of a common radius 𝒪 ⁡ ( ɛ ) ≪ 1 . In our cell-bulk model, each cell secretes a signaling chemical into the extracellular bulk region, while also receiving a chemical feedback that is produced by all the other cells. This secretion and global feedback of chemical into the cells is regulated by permeability parameters on the cell membrane. In the near well-mixed limit corresponding to a large bulk diffusivity 𝐷 = 𝐷 0 / ɛ ≫ 1 , where 𝐷 0 = 𝒪 ⁡ ( 1 ) , the method of matched asymptotic expansions is used to reduce the cell-bulk model to a novel nonlinear ODE system for the intracellular concentrations and the spatially averaged bulk diffusion field. The novelty in this ODE system, as compared to the type of ODE system that typically is studied in the well-mixed limit, is that it involves 𝐷 0 and an 𝒪 ⁡ ( ɛ ) correction term that incorporates the spatial configuration of the signaling compartments. For the case of Sel’kov intracellular kinetics, this new ODE system is used to study Hopf bifurcations that are triggered by the global coupling. In addition, the Kuramoto order parameter is used to study phase synchronization for the leading-order ODE system for a heterogeneous population of cells where some fraction of the cells have a random reaction-kinetic parameter. For a small collection of six cells, the spatial configuration of cells is also shown to influence both quorum-sensing behavior and diffusion-mediated communication that lead to synchronous intracellular oscillations. Moreover, we show that a single additional pacemaker cell can trigger intracellular oscillations in the other six cells, which otherwise would not occur. Finally, for the non well-mixed regime where 𝐷 = 𝒪 ⁡ ( 1 ) , we use asymptotic analysis in the limit ɛ → 0 to derive a new integro-differential ODE system for the intracellular dynamics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.236
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractno

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