Negative-feedback self-regulation contributes to robust and\n high-fidelity transmembrane signal transduction

2012/12/19 by M. Ángeles Serrano, Serrano, M. Ángeles, Manuel Jurado +3
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Neuroscience · #Cell Behavior (q-bio.CB) #Computational Drug Discovery Methods #FOS: Biological sciences #Gene Regulatory Network Analysis #Molecular Communication and Nanonetworks #Molecular Networks (q-bio.MN) #Photoreceptor and optogenetics research #Protein Structure and Dynamics

paper · pdf · doi:10.48550/arxiv.1212.4745

openalex publication_date 2012/12/19 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28

Abstract

We present a minimal motif model for transmembrane cell signaling. The model\nassumes signaling events taking place in spatially distributed nanoclusters\nregulated by a birth/death dynamics. The combination of these spatio-temporal\naspects can be modulated to provide a robust and high-fidelity response\nbehavior without invoking sophisticated modeling of the signaling process as a\nsequence of cascade reactions and fine-tuned parameters. Our results show that\nthe fact that the distributed signaling events take place in nanoclusters with\na finite lifetime regulated by local production is sufficient to obtain a\nrobust and high-fidelity response.\n

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