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Updated: May 18, 2026
07:59
An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
Published on: March 22, 2018
Growth control as a central regulator for tuning the cellular context
Ángeles Hueso-Gil1, Jesús Miró-Bueno1, Ángel Goñi-Moreno2
1Systems Biology Department, Centro Nacional de Biotecnología (CNB), CSIC, Darwin 3, Madrid, 28049, Spain.
Journal of Biological Engineering
|May 16, 2026
Summary
Researchers engineered bacterial RNA polymerase (RNAP) for tunable growth control, enabling stable cellular states. This breakthrough offers new possibilities for biocomputation and synthetic biology applications.
Area of Science:
- Synthetic Biology
- Microbial Engineering
- Systems Biology
Background:
- Cellular context significantly impacts genetic circuit performance, posing challenges for rational control.
- The interaction between host cells and engineered genetic circuits is complex and difficult to manipulate.
- RNA polymerase (RNAP) activity is a key determinant of cellular state and gene expression.
Purpose of the Study:
- To develop a method for rationally controlling genetic circuit performance by modulating the cellular context.
- To engineer a tunable bacterial growth regulation system using an inducible RNA polymerase.
- To explore the potential of growth control as an engineering parameter in synthetic biology.
Main Methods:
- Replaced native RNA polymerase (RNAP) subunits (β and β') in *Pseudomonas putida* KT2440 with an inducible XylS-Pm system.
- Utilized the inducer 3-methylbenzoate to tune bacterial cell growth into distinct stable states.
- Correlated genetic circuit behavior (reporter gene expression, NOT gate performance) with cellular growth states.
- Developed a mathematical model to classify RNAP availability's influence on host-circuit interactions.
Main Results:
- Achieved tunable cell growth regulation, enabling distinct stable growth states.
- Demonstrated that modulation of host-circuit dependencies is specific to circuit components.
- Classified the impact of RNAP availability on host-circuit interactions into three categories via mathematical modeling.
- Integrated growth control into a two-input NAND gate circuit, highlighting potential for morphological computing.
Conclusions:
- Bacterial growth control can be rationally engineered as a parameter for optimizing biocomputation.
- This approach has potential applications in microbial consortia engineering and the development of digital twins.
- Modulating RNAP availability offers a novel strategy for controlling genetic circuit performance within a cellular context.
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