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Harnessing split fluorescent proteins in modular protein logic for advanced whole-cell detection
Ping-Heng Lin1, Ssu-Tzu Tsai1, Yu-Chia Chang1
1Department of Chemistry, National Taiwan Normal University, Taipei, 116, Taiwan.
Analytica Chimica Acta
|July 31, 2023
Summary
This study enhances whole-cell biosensors using logic AND gates for improved selectivity. Self-associating split fluorescent proteins offer a simpler, more precise method for detecting target molecules compared to the HrpR/S system.
Area of Science:
- Synthetic Biology
- Molecular Biology
- Biotechnology
Background:
- Whole-cell biosensors offer potential for molecular detection but suffer from limited selectivity due to natural protein substrate tolerance.
- Enhancing biosensor precision is crucial for reliable molecular detection and analysis.
Purpose of the Study:
- To improve whole-cell biosensor performance by integrating logic AND gates.
- To engineer an orthogonal AND gate in Escherichia coli using the HrpR/S system and self-associating split fluorescent proteins (Spy Tag/Spy Catcher).
- To selectively activate a reporter gene in response to both IPTG and Hg(II) ions.
Main Methods:
- Construction and comparison of HrpR/S and self-associating split fluorescent protein systems for AND gate functionality.
- Systematic genetic engineering and evaluation of biological parts under various conditions.
- Utilizing Spy Tag/Spy Catcher system for split protein complementation.
Main Results:
- Self-associating split fluorescent proteins demonstrate utility in developing high-performance whole-cell biosensors.
- This approach offers advantages including engineering simplicity, reduced basal activity, and enhanced selectivity.
- The HrpR/S system served as a control, providing comparative insights into system performance.
Conclusions:
- Self-associating split fluorescent proteins provide an effective strategy for creating selective whole-cell biosensors.
- This method addresses the challenge of broad substrate tolerance in natural proteins.
- The findings offer a systematic and adaptable approach for advancing biosensor technology.

