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Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
Published on: October 17, 2025
Application of bioinformatics resources for genosensor design
Tamara M Khlebodarova1, Nina V Tikunova, Alla V Kachko
1Institute of Cytology and Genetics SB RAS, Lavrentieva Ave., 10, Novosibirsk 630090, Russia. tamara@bionet.nsc.ru
Journal of Bioinformatics and Computational Biology
|July 20, 2007
Summary
Two new databases aid in creating genosensors. Researchers developed a multi-functional genosensor using the Escherichia coli dps gene, proving effective against various stress agents.
Area of Science:
- Biotechnology
- Molecular Biology
- Bioinformatics
Background:
- Genosensors are crucial for detecting environmental stimuli.
- Designing multi-functional genosensors requires comprehensive gene sensitivity data and plasmid construct information.
Purpose of the Study:
- To introduce two novel databases, GenSensor and ConSensor, for genosensor development.
- To identify and engineer a multi-functional genosensor using candidate genes from the databases.
Main Methods:
- Development of GenSensor (gene sensitivity data) and ConSensor (plasmid construct data) databases.
- Selection of Escherichia coli dps gene as a candidate for a multi-functional genosensor.
- Construction and testing of a genetic construct based on the dps gene promoter against oxidative, protein/membrane damaging, and DNA damaging agents.
Main Results:
- The developed genosensor demonstrated sensitivity to hydrogen peroxide (oxidative stress).
- The genosensor was also sensitive to phenol (protein and membrane damage).
- The genosensor effectively responded to mitomycin C (DNA damage), confirming its multi-functional capability.
Conclusions:
- The GenSensor and ConSensor databases facilitate the design of novel genosensors.
- The Escherichia coli dps gene promoter can be utilized to create a multi-functional genosensor.
- The developed dps gene-based genosensor is a promising tool for detecting diverse stress conditions.
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