ArticleProceedings of the National Academy of Sciences of the United States of America2022
Using single-cell models to predict the functionality of synthetic circuits at the population scale.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Thermo-Responsive Living Microspheroids Enable a Regenerative Living Disk-Drive System for DNA Data Storage.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Exploring single-cell biosynthetic noise and dynamics for enhanced betaxanthin production in Escherichia coli.Nature communications · 2025Article
- Feedback between stochastic gene networks and population dynamics enables cellular decision-making.Science advances · 2024Article
- Maximizing protein production by keeping cells at optimal secretory stress levels using real-time control approaches.Nature communications · 2023Article
- Platforms for Optogenetic Stimulation and Feedback Control.Frontiers in bioengineering and biotechnology · 2022Review
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
SignificanceAt the single-cell level, biochemical processes are inherently stochastic. For many natural systems, the resulting cell-to-cell variability is exploited by microbial populations. In synthetic biology, however, the interplay of cell-to-cell variability and population processes such as selection or growth often leads to circuits not functioning as predicted by simple models. Here we show how multiscale stochastic kinetic models that simultaneously track single-cell and population processes can be obtained based on an augmentation of the chemical master equation. These models enable us to quantitatively predict complex population dynamics of a yeast optogenetic differentiation system from a specification of the circuit's components and to demonstrate how cell-to-cell variability can be exploited to purposefully create unintuitive circuit functionality.
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Registered trials
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