ArticleFrontiers in physiology2016
Noise Decomposition Principle in a Coherent Feed-Forward Transcriptional Regulatory Loop.
Article in Frontiers in physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- The Dynamics of Inducible Genetic Circuits.ArXiv · 2026Article
- Feedforward regulatory logic controls the specification-to-differentiation transition and terminal cell fate during Caenorhabditis elegans endoderm development.Development (Cambridge, England) · 2022Article
- Systematic analysis of noise reduction properties of coupled and isolated feed-forward loops.PLoS computational biology · 2021Article
- Role of integrated noise in pathway-specific signal propagation in feed-forward loops.Theory in biosciences = Theorie in den Biowissenschaften · 2021Article
- Identifying functions and prognostic biomarkers of network motifs marked by diverse chromatin states in human cell lines.Oncogene · 2020Article
- Stochastic Dynamics of Gene Switching and Energy Dissipation for Gene Expression.Frontiers in genetics · 2020Article
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Authors and funding
7 authors.
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Abstract
Coherent feed-forward loops exist extensively in realistic biological regulatory systems, and are common signaling motifs. Here, we study the characteristics and the propagation mechanism of the output noise in a coherent feed-forward transcriptional regulatory loop that can be divided into a main road and branch. Using the linear noise approximation, we derive analytical formulae for the total noise of the full loop, the noise of the branch, and the noise of the main road, which are verified by the Gillespie algorithm. Importantly, we find that (i) compared with the branch motif or the main road motif, the full motif can effectively attenuate the output noise level; (ii) there is a transition point of system state such that the noise of the main road is dominated when the underlying system is below this point, whereas the noise of the branch is dominated when the system is beyond the point. The entire analysis reveals the mechanism of how the noise is generated and propagated in a simple yet representative signaling module.
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