Transcription factor-based biosensors for screening and dynamic regulation.

Area of Science:

• Synthetic biology and genetic engineering
• Biosensor development
• Metabolic engineering

Background:

• Transcription factor (TF)-based biosensors are crucial for detecting chemical compounds and controlling biological behaviors in various applications.
• Wider adoption of TF biosensors is limited by challenges in metabolite-activated TF knowledge, identification methods, and biosensor circuit design.
• Improved TF biosensors are vital for bioproduction, enabling strain screening and precise dynamic regulation of genetic circuits.

Purpose of the Study:

• To summarize current knowledge on transcription factor (TF)-based biosensors.
• To discuss experimental and computational approaches for TF biosensor improvement.
• To suggest future research directions for TF biosensors in bioproduction screening and dynamic genetic circuit regulation.

Main Methods:

• Literature review of TF-based biosensor advancements.
• Analysis of experimental and computational strategies for TF modification.
• Identification of key challenges and future research avenues.

Main Results:

• Current understanding of TF-based biosensors and their applications is synthesized.
• Recent advancements in TF modification and improvement are highlighted.
• Specific applications in bioproduction screening and dynamic regulation are explored.

Conclusions:

• Advancing TF biosensor technology requires expanding TF knowledge, improving identification, and optimizing design workflows.
• Future research should focus on enhancing TF biosensors for bioproduction strain screening and precise genetic circuit control.
• TF biosensors hold significant potential for optimizing bio-based applications through improved sensing and regulation.