ArticleNature communications2022
Layered feedback control overcomes performance trade-off in synthetic biomolecular networks.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- Closed-Loop Optogenetic Control in a Microplate Reader.ACS synthetic biology · 2026Article
- Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Resolving emergent transient oscillations in gene circuits with a growth-coupled model.Science advances · 2026Article
- Feedback Control and Sensitivity Analysis in Synthetic Gene Circuits.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Gene Expression Across Growth Stages (GEAGS): Modeling Circuit Dynamics in Batch Cultures.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Integrating synthetic biology to understand and engineer the heart, lung, blood, and sleep systems.Cell systems · 2025Review
- Advancing cell therapies with artificial intelligence and synthetic biology.Current opinion in biomedical engineering · 2025Article
- Fundamental Trade-Offs in the Robustness of Biological Systems with Feedback Regulation.ACS synthetic biology · 2025Article
- Multi-Layer Autocatalytic Feedback Enables Integral Control Amidst Resource Competition and Across Scales.ACS synthetic biology · 2025Article
- Genetic Circuits for Feedback Control of Gamma-Aminobutyric Acid Biosynthesis in ProbioticMetabolites · 2024Article
- Customizing cellular signal processing by synthetic multi-level regulatory circuits.Nature communications · 2023Review
- Competition and evolutionary selection among core regulatory motifs in gene expression control.Nature communications · 2023Article
- A blueprint for a synthetic genetic feedback optimizer.Nature communications · 2023Article
- Dynamic RNA synthetic biology: new principles, practices and potential.RNA biology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Layered feedback is an optimization strategy in feedback control designs widely used in engineering. Control theory suggests that layering multiple feedbacks could overcome the robustness-speed performance trade-off limit. In natural biological networks, genes are often regulated in layers to adapt to environmental perturbations. It is hypothesized layering architecture could also overcome the robustness-speed performance trade-off in genetic networks. In this work, we validate this hypothesis with a synthetic biomolecular network in living E. coli cells. We start with system dynamics analysis using models of various complexities to guide the design of a layered control architecture in living cells. Experimentally, we interrogate system dynamics under three groups of perturbations. We consistently observe that the layered control improves system performance in the robustness-speed domain. This work confirms that layered control could be adopted in synthetic biomolecular networks for performance optimization. It also provides insights into understanding genetic feedback control architectures in nature.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.