Signal propagation in sensing and reciprocating cellular systems with spatial and structural heterogeneity
Arran Hodgkinson, Giles Uz\'e, Ovidiu Radulescu, Dumitru Trucu

TL;DR
This paper develops and compares PDE and SST models to understand how heterogeneity and affinity differences influence interferon signaling in cellular systems, revealing mechanisms of local and long-range communication.
Contribution
It introduces a novel spatio-structural-temporal (SST) model for SARs, highlighting the roles of heterogeneity, affinity, and cell motility in signaling dynamics.
Findings
Heterogeneity enhances local production and individualization.
Low affinity IFNs enable long-range communication.
Cell motility affects the breakdown of affinity-based signaling.
Abstract
Sensing and reciprocating cellular systems (SARs) are important for the operation of many biological systems. Production in interferon (IFN) SARs is achieved through activation of the Jak-Stat pathway, and downstream upregulation of IFN regulatory factor (IRF)-3 and IFN transcription, but the role that high and low affinity IFNs play in this process remains unclear. We present a comparative between a minimal spatio-temporal partial differential equation (PDE) model and a novel spatio-structural-temporal (SST) model for the consideration of receptor, binding, and metabolic aspects of SAR behaviour. Using the SST framework, we simulate single- and multi-cluster paradigms of IFN communication. Simulations reveal a cyclic process between the binding of IFN to the receptor, and the consequent increase in metabolism, decreasing the propensity for binding due to the internal feed-back…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
