ArticleNature communications2018
A quasi-integral controller for adaptation of genetic modules to variable ribosome demand.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- GenAI-Net: A generative AI framework for automated biomolecular network design.Science advances · 2026Article
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- Resource Competition and Growth Dilution Modulate Synthetic Gene Cascade Dynamics.ACS synthetic biology · 2026Article
- Harnessing CRISPRi Competition to Develop Multimodule Controllers for Resource-Aware Circuit Design.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Tuning evolvability via plasmid copy number and regulatory architecture.Nature communications · 2025Article
- Genetic controllers for enhancing the evolutionary longevity of synthetic gene circuits in bacteria.Nature communications · 2025Article
- CRISPRi-Linked Multimodule Negative Feedback Loops to Address Winner-Take-All Resource Competition.ACS synthetic biology · 2025Article
- Integrating recombinase-based feedback and feedforward control for optimal resource decoupling.Nucleic acids research · 2025Article
- CRISPRi-Linked Multi-Module Negative Feedback Loops to Address Winner-Take-All Resource Competition.bioRxiv : the preprint server for biology · 2025Article
- Multi-Layer Autocatalytic Feedback Enables Integral Control Amidst Resource Competition and Across Scales.ACS synthetic biology · 2025Article
- Resource competition-driven bistability and stochastic switching amplify gene expression noise.PLoS computational biology · 2025Article
- Designing biological network motif-based controllers by reverse engineering Hill function-type models from linear models.Journal of the Royal Society, Interface · 2025Article
- Feed-forward loop improves the transient dynamics of an antithetic biological controller.Journal of the Royal Society, Interface · 2025Article
- Synthetic biology design principles enable efficient bioproduction of Heparosan with low molecular weight and low polydispersion index for the biomedical industry.Synthetic biology (Oxford, England) · 2025Article
- Mitigating Winner-Take-All Resource Competition through Antithetic Control Mechanism.ACS synthetic biology · 2024Article
- Noise Reduction in Resource-Coupled Multi-Module Gene Circuits through Antithetic Feedback Control.Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2024Article
- Engineering Sequestration-Based Biomolecular Classifiers with Shared Resources.ACS synthetic biology · 2024Article
- Modulating bacterial function utilizing A knowledge base of transcriptional regulatory modules.Nucleic acids research · 2024Article
- Anti-windup strategies for biomolecular control systems facilitated by model reduction theory for sequestration networks.Science advances · 2024Article
- Context-dependent redesign of robust synthetic gene circuits.Trends in biotechnology · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The behavior of genetic circuits is often poorly predictable. A gene's expression level is not only determined by the intended regulators, but also affected by changes in ribosome availability imparted by expression of other genes. Here we design a quasi-integral biomolecular feedback controller that enables the expression level of any gene of interest (GOI) to adapt to changes in available ribosomes. The feedback is implemented through a synthetic small RNA (sRNA) that silences the GOI's mRNA, and uses orthogonal extracytoplasmic function (ECF) sigma factor to sense the GOI's translation and to actuate sRNA transcription. Without the controller, the expression level of the GOI is reduced by 50% when a resource competitor is activated. With the controller, by contrast, gene expression level is practically unaffected by the competitor. This feedback controller allows adaptation of genetic modules to variable ribosome demand and thus aids modular construction of complicated circuits.
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