Engineering of a Complex of the DNase Domain of Colicin E9 with the Immunity Protein Im9 Activated by the Protease pS273R of African Swine Fever Virus.
Danil S Kalinin, Oleg R Latypov, Bogdan S Melnik, Tatiana N Melnik, Michael G Shlyapnikov, Maria A Gorshkova, Eva N Titova, Sergey G Mayorov, Artem F Stetoi, Alexander V Efimov, Andrey V Kajava, Rustam H Ziganshin, Marina Y Zemskova, Alexey N Fedorov, Igor E Granovsky
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引用次数: 0
Abstract
African swine fever virus (ASFV) is a large DNA virus that causes a highly lethal disease in pigs and currently has no effective vaccines or antiviral treatments available. We designed a protein switch that combines the DNase domain of colicin E9 (DNase E9) and its inhibitor Im9 with the viral protease cleavage site. The complex is only destroyed in the presence of an ASFV pS273R protease, which releases DNase activity. Several Im9 variants were constructed by inserting the pS273R protease cleavage sequence into different exposed loops. From these, we identified an optimized variant (Im9-1.4) that remains highly stable and tightly bound to DNase E9, suppressing its activity in the absence of protease. Exposure to the ASFV protease results in cleavage of Im9-1.4, rendering it unable to inhibit DNase E9 activity. In vitro assays confirmed that the DNase E9/Im9-1.4 complex becomes catalytically active upon proteolytic digestion with pS273R protease. This virus-triggered 'kill switch' is designed to render pig cells nonpermissive to ASFV by aborting infection via viral DNA degradation. Our study offers a generalizable synthetic biology strategy that uses virus-encoded proteases to trigger dormant effectors, exemplified by this protease-sensing DNase. This synthetic restriction system might be used to develop ASFV-resistant pigs.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.