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Following Cell-fate in E. coli After Infection by Phage Lambda

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Published on: October 14, 2011

Direct positive selection for improved nitroreductase variants using SOS triggering of bacteriophage lambda lytic

C P Guise¹, J I Grove, E I Hyde

¹Cancer Research UK Institute for Cancer Studies, University of Birmingham, Birmingham, UK.

|February 16, 2007

Summary

Researchers developed a novel selection method to engineer enhanced nitroreductase (NTR) enzymes for cancer gene therapy. This method identified

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Area of Science:

Biochemistry
Molecular Biology
Cancer Gene Therapy

Background:

Prodrug-activating enzymes are crucial for cancer gene therapy, converting non-toxic substrates into cytotoxic drugs.
Current limitations exist in improving enzyme catalytic activity with unnatural prodrug substrates.
Direct selection for enhanced prodrug activation has been a significant challenge.

Purpose of the Study:

To develop and apply a novel, direct, positive selection strategy for engineering improved Escherichia coli nitroreductase (NTR) variants.
To enhance the enzyme's ability to activate the prodrug 5-(aziridin-1-yl)-2,4-dinitrobenzamide (CB1954).

Main Methods:

Exploited bacteriophage lambda's life cycle in E. coli lysogens for a direct selection system.
Triggered the SOS response and lambda phage lytic cycle upon CB1954 activation by NTR.
Selected for phages encoding improved NTR variants based on triggered lytic cycle upon limited CB1954 exposure.

Main Results:

Successfully isolated highly improved 'turbo-NTR' variants from a library of 6.8 x 10(5) clones.
Achieved up to 50-fold greater sensitivity to CB1954 compared to wild-type NTR.
Demonstrated that T41Q/N71S/F124T-NTR sensitized carcinoma cells to CB1954 at 40- to 80-fold lower concentrations.

Conclusions:

The novel lambda phage-based selection system enables direct positive selection for enhanced prodrug-activating enzymes.
Engineered 'turbo-NTR' variants show significantly improved catalytic activity and potential for enhanced cancer gene therapy.
This approach offers a powerful tool for enzyme engineering in various therapeutic applications.