» Articles » PMID: 36836707

The Topological Characteristics of Biological Ratio-Sensing Networks

Overview
Journal Life (Basel)
Specialty Biology
Date 2023 Feb 25
PMID 36836707
Authors
Affiliations
Soon will be listed here.
Abstract

Ratio sensing is a fundamental biological function observed in signal transduction and decision making. In the synthetic biology context, ratio sensing presents one of the elementary functions for cellular multi-signal computation. To investigate the mechanism of the ratio-sensing behavior, we explored the topological characteristics of biological ratio-sensing networks. With exhaustive enumeration of three-node enzymatic and transcriptional regulatory networks, we found that robust ratio sensing was highly dependent on network structure rather than network complexity. Specifically, a set of seven minimal core topological structures and four motifs were deduced to be capable of robust ratio sensing. Further investigations on the evolutionary space of robust ratio-sensing networks revealed highly clustered domains surrounding the core motifs which suggested their evolutionary plausibility. Our study revealed the network topological design principles of ratio-sensing behavior and provided a design scheme for constructing regulatory circuits with ratio-sensing behavior in synthetic biology.

Citing Articles

Inferring gene regulatory networks of ALS from blood transcriptome profiles.

Pappalardo X, Jansen G, Amaradio M, Costanza J, Umeton R, Guarino F Heliyon. 2024; 10(23):e40696.

PMID: 39687198 PMC: 11648123. DOI: 10.1016/j.heliyon.2024.e40696.

References
1.
Wang G, Du C, Chen H, Simha R, Rong Y, Xiao Y . Process-based network decomposition reveals backbone motif structure. Proc Natl Acad Sci U S A. 2010; 107(23):10478-83. PMC: 2890799. DOI: 10.1073/pnas.0914180107. View

2.
Tantama M, Martinez-Francois J, Mongeon R, Yellen G . Imaging energy status in live cells with a fluorescent biosensor of the intracellular ATP-to-ADP ratio. Nat Commun. 2013; 4:2550. PMC: 3852917. DOI: 10.1038/ncomms3550. View

3.
Moon T, Lou C, Tamsir A, Stanton B, Voigt C . Genetic programs constructed from layered logic gates in single cells. Nature. 2012; 491(7423):249-53. PMC: 3904217. DOI: 10.1038/nature11516. View

4.
Alon U . Network motifs: theory and experimental approaches. Nat Rev Genet. 2007; 8(6):450-61. DOI: 10.1038/nrg2102. View

5.
Lim W, Lee C, Tang C . Design principles of regulatory networks: searching for the molecular algorithms of the cell. Mol Cell. 2013; 49(2):202-12. PMC: 3664230. DOI: 10.1016/j.molcel.2012.12.020. View