Negative-feedback self-regulation contributes to robust and high-fidelity transmembrane signal transduction
M. \'Angeles Serrano, Manuel Jurado, Ramon Reigada

TL;DR
This paper introduces a minimal model of transmembrane signaling demonstrating that negative feedback within nanoclusters ensures robust, high-fidelity responses without complex cascade mechanisms.
Contribution
It presents a novel minimal motif model showing how spatially distributed nanoclusters with birth/death dynamics can achieve reliable signaling.
Findings
Nanoclusters with finite lifetime enable robust responses
Spatio-temporal regulation suffices for high-fidelity signaling
Model does not require cascade reactions or fine-tuning
Abstract
We present a minimal motif model for transmembrane cell signaling. The model assumes signaling events taking place in spatially distributed nanoclusters regulated by a birth/death dynamics. The combination of these spatio-temporal aspects can be modulated to provide a robust and high-fidelity response behavior without invoking sophisticated modeling of the signaling process as a sequence of cascade reactions and fine-tuned parameters. Our results show that the fact that the distributed signaling events take place in nanoclusters with a finite lifetime regulated by local production is sufficient to obtain a robust and high-fidelity response.
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Taxonomy
TopicsGene Regulatory Network Analysis · Protein Structure and Dynamics · Computational Drug Discovery Methods
