ArticleiScience2024
The dynamic-process characterization and prediction of synthetic gene circuits by dynamic delay model.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- An Experimentally Verified Mechanistic Model for Predicting Quorum Sensing-Based Switches.Microbial biotechnology · 2026Article
- Article
- Dynamic processes of fate decision in inducible bistable systems.Biophysical journal · 2024Article
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Authors and funding
4 authors.
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Abstract
Differential equation models are widely used to describe genetic regulations, predict multicomponent regulatory circuits, and provide quantitative insights. However, it is still challenging to quantitatively link the dynamic behaviors with measured parameters in synthetic circuits. Here, we propose a dynamic delay model (DDM) which includes two simple parts: the dynamic determining part and the doses-related steady-state-determining part. The dynamic determining part is usually supposed as the delay time but without a clear formula. For the first time, we give the detail formula of the dynamic determining function and provide a method for measuring all parameters of synthetic elements (include 8 activators and 5 repressors) by microfluidic system. Three synthetic circuits were built to show that the DDM can notably improve the prediction accuracy and can be used in various synthetic biology applications.
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