Related Experiment Video
Updated: Apr 11, 2026

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
Published on: October 17, 2025
Development of biosensors and their application in metabolic engineering
Jie Zhang1, Michael K Jensen1, Jay D Keasling2
1The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Denmark.
Abstract:
In a sustainable bioeconomy, many commodities and high value chemicals, including pharmaceuticals, will be manufactured using microbial cell factories from renewable feedstocks. These cell factories can be efficiently generated by constructing libraries of diversified genomes followed by screening for the desired phenotypes. However, methods available for microbial genome diversification far exceed our ability to screen and select for those variants with optimal performance. Genetically encoded biosensors have shown the potential to address this gap, given their ability to respond to small molecule binding and ease of implementation with high-throughput analysis. Here we describe recent progress in biosensor development and their applications in a metabolic engineering context. We also highlight examples of how biosensors can be integrated with synthetic circuits to exert feedback regulation on the metabolism for improved performance of cell factories.
Related Concept Videos
Microbial Biosensors
Biosynthesis in Bacteria
Bioreactor Controls-III
Regulation of Metabolism
Designing Growth Media for Bioreactors
Introduction to Metabolism

