ArticleNature communications2022
A microfluidic optimal experimental design platform for forward design of cell-free genetic 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 16 papers.
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Who cites it
16 citing papers in PubMed, 31 citations in OpenAlex.
- Timed batch inputs unlock substantially higher yields for enzymatic cascades.Nature chemistry · 2026Article
- Dynamic drives allow independent control of material bits for targeted memory.Science advances · 2026Article
- Synthetic cells by the numbers.iScience · 2025Review
- Automated and Programmable Cell-Free Systems for Scalable Synthetic Biology with a Focus on Biofoundry Integration.Journal of microbiology and biotechnology · 2025Review
- Improving engineered biological systems with electronics and microfluidics.Nature biotechnology · 2025Review
- Cell-free protein synthesis and vesicle systems for programmable therapeutic manufacturing and delivery.Journal of biological engineering · 2025Review
- Cell-Free Gene Expression: Methods and Applications.Chemical reviews · 2025Review
- Quantitative Online Monitoring of an Immobilized Enzymatic Network by Ion Mobility-Mass Spectrometry.Journal of the American Chemical Society · 2024Article
- ARTseq-FISH reveals position-dependent differences in gene expression of micropatterned mESCs.Nature communications · 2024Article
- Leveraging Active Learning to Establish Efficient In Vitro Transcription and Translation from Bacterial Chromosomal DNA.ACS omega · 2024Article
- Validation of Cell-Free Protein Synthesis Aboard the International Space Station.ACS synthetic biology · 2024Article
- Exploring Emergent Properties in Enzymatic Reaction Networks: Design and Control of Dynamic Functional Systems.Chemical reviews · 2024Review
- Iterative design of training data to control intricate enzymatic reaction networks.Nature communications · 2024Article
- Noise Minimization in Cell-Free Gene Expression.ACS synthetic biology · 2023Article
- What remains from living cells in bacterial lysate-based cell-free systems.Computational and structural biotechnology journal · 2023Review
- Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks.PLoS computational biology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell-free protein synthesis has been widely used as a "breadboard" for design of synthetic genetic networks. However, due to a severe lack of modularity, forward engineering of genetic networks remains challenging. Here, we demonstrate how a combination of optimal experimental design and microfluidics allows us to devise dynamic cell-free gene expression experiments providing maximum information content for subsequent non-linear model identification. Importantly, we reveal that applying this methodology to a library of genetic circuits, that share common elements, further increases the information content of the data resulting in higher accuracy of model parameters. To show modularity of model parameters, we design a pulse decoder and bistable switch, and predict their behaviour both qualitatively and quantitatively. Finally, we update the parameter database and indicate that network topology affects parameter estimation accuracy. Utilizing our methodology provides us with more accurate model parameters, a necessity for forward engineering of complex genetic networks.
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