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Updated: Jan 18, 2026

Rapid Optimization of a Light-Inducible System to Control Mammalian Gene Expression
Published on: November 4, 2025
Automatic Control of Gene Expression in Mammalian Cells
Chiara Fracassi1, Lorena Postiglione1,2, Gianfranco Fiore1
1TeleThon Institute of Genetics and Medicine (TIGEM) , 80078 Pozzuoli, Italy.
This study introduces a microfluidics system for real-time control of gene expression in mammalian cells using feedback engineering. The method successfully maintained intermediate gene expression levels, demonstrating precise synthetic biology control.
Area of Science:
- Synthetic Biology
- Biotechnology
- Control Engineering
Background:
- Precise control of gene expression is crucial for understanding biological systems and engineering synthetic circuits.
- Maintaining optimal expression levels is key for reliable performance of synthetic gene circuits.
Purpose of the Study:
- To develop and validate a microfluidics-based method for real-time, automatic control of gene expression in mammalian cells.
- To apply negative-feedback control engineering principles to achieve stable, intermediate gene expression levels.
Main Methods:
- A microfluidics platform was utilized to deliver tetracycline or standard medium.
- Two model-independent control algorithms, relay and proportional-integral (PI), were implemented.
- Gene expression was monitored using a d2EYFP fluorescent reporter in cells with a tetracycline-inducible promoter.
Main Results:
- Both relay and PI controllers successfully regulated d2EYFP expression to 50% of maximum levels for extended periods (up to 3500 min).
- The PI controller demonstrated dampened oscillations around the set point compared to the relay controller.
- The system achieved precise, real-time control over gene expression in a monoclonal cell population.
Conclusions:
- Microfluidics combined with feedback control offers a robust method for precise gene expression regulation in mammalian cells.
- This technology enables fine-tuning of synthetic gene circuits and facilitates the study of gene regulatory networks.
- The developed controllers provide a foundation for advanced synthetic biology applications requiring dynamic gene expression control.
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