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Updated: Sep 30, 2025

Rapid Synthesis and Screening of Chemically Activated Transcription Factors with GFP-based Reporters
Published on: November 26, 2013
Refactoring transcription factors for metabolic engineering
Chen Deng1, Yaokang Wu1, Xueqin Lv1
1Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, China; Science Center for Future Foods, Ministry of Education, Jiangnan University, Wuxi 214122, China.
This review details transcription factors for metabolic regulation in synthetic biology. It covers their design, applications, and optimization for enhanced metabolic engineering strategies.
Area of Science:
- Metabolic Engineering
- Synthetic Biology
- Molecular Biology
Background:
- Transcription factors are crucial for dynamic, global regulation of metabolic pathways.
- They are widely employed in metabolic engineering and synthetic biology applications.
- Understanding transcription factor mechanisms is key to advancing these fields.
Purpose of the Study:
- To provide a comprehensive overview of transcription factors in metabolic regulation.
- To discuss their categories, action principles, prediction strategies, and databases.
- To explore applications, optimization techniques, limitations, and future prospects.
Main Methods:
- Literature review and synthesis of existing research on transcription factors.
- Categorization and analysis of transcription factor action principles.
- Overview of global transcription machinery engineering, biosensors, and quorum sensing systems.
- Summary of strategies for refactoring transcription factors to optimize regulatory tools.
Main Results:
- Identified categories, principles, and prediction strategies for transcription factors.
- Overviewed applications including global transcription machinery engineering, biosensors, and quorum sensing.
- Summarized methods for refactoring transcription factors to enhance regulatory tool performance.
- Discussed current limitations and future prospects in constructing transcription factor-based systems.
Conclusions:
- Transcription factors are versatile tools for metabolic regulation.
- Rational design and construction of transcription factor-based systems require theoretical guidance.
- Further research can optimize these systems for advanced metabolic engineering and synthetic biology.
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