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Competitive Genomic Screens of Barcoded Yeast Libraries

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Published on: August 11, 2011

From modular engineering to practical applications: Advances in GPCR-based yeast biosensors.

Yu Zhang¹, Wenqian Liu¹, Suru Wen²

¹Key Laboratory of Biomass Chemical Engineering of Ministry of Education & State Key Laboratory of Biobased Transportation Fuel Technology, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China; BGI Research, Changzhou 213299, China; State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Hangzhou 310030, China.

Biotechnology Advances

|April 26, 2026

Summary

GPCR-based yeast biosensors leverage sensitive G protein-coupled receptors (GPCRs) and yeast

Keywords:

Biosensor application GPCR-based yeast biosensor Module engineering Performance enhancement

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Published on: November 29, 2024

Area of Science:

Biotechnology
Molecular Biology
Biosensor Technology

Background:

G protein-coupled receptors (GPCRs) are crucial for cellular signaling and sensing.
Yeast offers a genetically tractable platform for biosensor development.
GPCRs' sensitivity and specificity make them ideal for biosensing applications.

Purpose of the Study:

To systematically review engineering strategies for GPCR-based yeast biosensors.
To analyze modifications in sensing, transduction, and output modules.
To highlight advancements in biosensor performance and applications.

Main Methods:

Modular framework analysis of GPCR-based yeast biosensors.
Review of engineering strategies for GPCRs, yeast signaling, and reporter systems.
Assessment of performance metric enhancements and application expansion.

Main Results:

Engineering efforts have optimized GPCR-based yeast biosensors through modular modifications.
Enhanced sensing, transduction, and reporter modules improve key performance metrics.
These engineered biosensors are applied across diverse fields.

Conclusions:

GPCR-based yeast biosensors represent a powerful and adaptable biosensing platform.
Integration of AI and synthetic biology will drive future predictive and programmable biosensor design.
Continued engineering efforts promise next-generation biosensors with enhanced capabilities.