ReviewIntegrative biology : quantitative biosciences from nano to macro2016
Addressing biological uncertainties in engineering gene circuits.
Review in Integrative biology : quantitative biosciences from nano to macro, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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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.
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Who cites it
21 citing papers in PubMed.
- Article
- 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
- Construction of multilayered gene circuits using de-novo-designed synthetic transcriptional regulators in cell-free systems.Journal of biological engineering · 2024Article
- Programming Dynamic Division of Labor Using Horizontal Gene Transfer.ACS synthetic biology · 2024Article
- The dynamic-process characterization and prediction of synthetic gene circuits by dynamic delay model.iScience · 2024Article
- Growth Feedback Confers Cooperativity in Resource-Competing Synthetic Gene Circuits.Chaos, solitons, and fractals · 2023Article
- Emergence of qualitative states in synthetic circuits driven by ultrasensitive growth feedback.PLoS computational biology · 2022Article
- Double-edged role of resource competition in gene expression noise and control.Advanced genetics (Hoboken, N.J.) · 2022Article
- Synthetic robust perfect adaptation achieved by negative feedback coupling with linear weak positive feedback.Nucleic acids research · 2022Article
- Emergent Damped Oscillation Induced by Nutrient-Modulating Growth Feedback.ACS synthetic biology · 2021Article
- Synthesizing AND gate minigene circuits based on CRISPReader for identification of bladder cancer cells.Nature communications · 2020Article
- Realization of Robust and Precise Regulation of Gene Expression by Multiple Sigma Recognizable Artificial Promoters.Frontiers in bioengineering and biotechnology · 2020Article
- Development of a novel strategy for robust synthetic bacterial promoters based on a stepwise evolution targeting the spacer region of the core promoter in Bacillus subtilis.Microbial cell factories · 2019Article
- Understanding and Engineering Distributed Biochemical Pathways in Microbial Communities.Biochemistry · 2019Review
- Effects of Population Dynamics on Establishment of a Restriction-Modification System in a Bacterial Host.Molecules (Basel, Switzerland) · 2019Article
- Metabolic division of labor in microbial systems.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Circuit-Host Coupling Induces Multifaceted Behavioral Modulations of a Gene Switch.Biophysical journal · 2018Article
- Scaling up genetic circuit design for cellular computing: advances and prospects.Natural computing · 2018Article
- An integrative circuit-host modelling framework for predicting synthetic gene network behaviours.Nature microbiology · 2017Article
- Quantitative and synthetic biology approaches to combat bacterial pathogens.Current opinion in biomedical engineering · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Synthetic biology has grown tremendously over the past fifteen years. It represents a new strategy to develop biological understanding and holds great promise for diverse practical applications. Engineering of a gene circuit typically involves computational design of the circuit, selection of circuit components, and test and optimization of circuit functions. A fundamental challenge in this process is the predictable control of circuit function due to multiple layers of biological uncertainties. These uncertainties can arise from different sources. We categorize these uncertainties into incomplete quantification of parts, interactions between heterologous components and the host, or stochastic dynamics of chemical reactions and outline potential design strategies to minimize or exploit them.
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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.