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Transient frequency preference responses in cell signaling systems

Authors :
Candela L. Szischik
Juliana Reves Szemere
Rocío Balderrama
Constanza Sánchez de la Vega
Alejandra C. Ventura
Source :
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-18 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Ligand–receptor systems, covalent modification cycles, and transcriptional networks are the fundamental components of cell signaling and gene expression systems. While their behavior in reaching a steady-state regime under step-like stimulation is well understood, their response under repetitive stimulation, particularly at early time stages is poorly characterized. Yet, early-stage responses to external inputs are arguably as informative as late-stage ones. In simple systems, a periodic stimulation elicits an initial transient response, followed by periodic behavior. Transient responses are relevant when the stimulation has a limited time span, or when the stimulated component’s timescale is slow as compared to the timescales of the downstream processes, in which case the latter processes may be capturing only those transients. In this study, we analyze the frequency response of simple motifs at different time stages. We use dose-conserved pulsatile input signals and consider different metrics versus frequency curves. We show that in ligand–receptor systems, there is a frequency preference response in some specific metrics during the transient stages, which is not present in the periodic regime. We suggest this is a general system-level mechanism that cells may use to filter input signals that have consequences for higher order circuits. In addition, we evaluate how the described behavior in isolated motifs is reflected in similar types of responses in cascades and pathways of which they are a part. Our studies suggest that transient frequency preferences are important dynamic features of cell signaling and gene expression systems, which have been overlooked.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
20567189
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
npj Systems Biology and Applications
Publication Type :
Academic Journal
Accession number :
edsdoj.58531e80d6114ceea24b9f4de56131eb
Document Type :
article
Full Text :
https://doi.org/10.1038/s41540-024-00413-w