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Updated: Sep 26, 2025

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
Published on: March 22, 2018
Intracellular biosensor-based dynamic regulation to manipulate gene expression at the spatiotemporal level
Shenghu Zhou1,2, Hal S Alper3,4, Jingwen Zhou1,2
1National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi, Jiangsu, China.
Intracellular biosensors enable precise control of cellular metabolism for improved compound production. These biosensors dynamically regulate metabolic flux at the single-cell level, overcoming challenges in industrial fermentation.
Area of Science:
- Biotechnology
- Synthetic Biology
- Metabolic Engineering
Background:
- Industrial fermentation faces challenges due to cellular heterogeneity (variants, cell age).
- Precise control of metabolic flux at the single-cell level is crucial for high productivity.
- Existing methods struggle to manage diverse cell populations in fermentation.
Purpose of the Study:
- To review advances in designing and engineering intracellular biosensors.
- To compare spatiotemporal properties of biosensors and inducer distribution.
- To discuss the application of biosensors for dynamic metabolic flux control.
Main Methods:
- Highlighting design and engineering approaches for intracellular biosensors.
- Comparing spatiotemporal properties related to inducer distribution.
- Analyzing biosensor-mediated dynamic control of cellular metabolism.
Main Results:
- Intracellular biosensors can sense intra- and extracellular conditions in real-time.
- Biosensors can be engineered to balance biomass formation and compound overproduction.
- Dynamic control strategies can be implemented for single-cell or collective regulation.
Conclusions:
- Intracellular biosensors offer a powerful tool for precise metabolic regulation in fermentation.
- Engineering biosensors allows for tailored control of cellular processes.
- These systems can overcome limitations posed by cellular heterogeneity in industrial applications.
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