Scaling of Noise Under Resource Constraints in Gene Regulatory Motifs
Understanding noise propagation in gene regulatory circuits requires accounting for both model and resource constraints. In this work, we investigated the role of model order in influencing stochastic behaviour by deriving and analytically comparing reduced protein-only models with higher-order models that include mRNA and molecular complexes, and found that protein-based models can exhibit…
Gene regulatory motifs are subjected to noise as they operate under resource limitations. Researchers delved into this topic by comparing models that focus solely on proteins against those that incorporate mRNA and molecular complexes. The analysis revealed that protein-based models tend to show elevated noise in gene expression.
By applying frequency-response analysis, the team uncovered that higher-order models possess supplementary noise-filtering capabilities. Additionally, a one-dimensional constrained model was examined, yielding the finding that as resource constraints intensify, the Fano factor—which quantifies relative fluctuations—decreases. The study also extended its scope to explore intricate circuit motifs, including toggle switches and incoherent feed-forward loops.
The findings indicated that resource limitations can diminish stochastic switching in bistable circuits; however, in the case of incoherent feed-forward loops, these constraints can expedite adaptation processes. The collective insights underscore the pivotal role that intricate mechanisms and common resource constraints play in dictating fluctuation levels within biomolecular circuits.
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