Sage Nelson, Jokent Gaza, Seyednima Ajayebi, Ronald Masse, Raymond Pho, Cianna Scutero, Samantha Martinusen, Lawton Long, Amor Menezes, Alberto Perez and Carl Denard*,
{"title":"蛋白酶工程与反应物停留时间控制","authors":"Sage Nelson, Jokent Gaza, Seyednima Ajayebi, Ronald Masse, Raymond Pho, Cianna Scutero, Samantha Martinusen, Lawton Long, Amor Menezes, Alberto Perez and Carl Denard*, ","doi":"10.1021/acssynbio.5c0015410.1021/acssynbio.5c00154","DOIUrl":null,"url":null,"abstract":"<p >Proteases with engineered specificity hold great potential for targeted therapeutics, protein circuit construction, and biotechnology applications. However, many proteases exhibit broad substrate specificity, limiting their use in such applications. Engineering protease specificity remains challenging because evolving a protease to recognize a new substrate, without counterselecting against its native substrate, often results in high residual activity on the original substrate. To address this, we developed Protease Engineering with Reactant Residence Time Control (PERRC), a platform that exploits the correlation between endoplasmic reticulum (ER) retention sequence strength and ER residence time. PERRC allows precise control over the stringency of protease evolution by adjusting counterselection to selection substrate ratios. Using PERRC, we evolved an orthogonal tobacco etch virus protease variant, TEVESNp, that selectively cleaves a substrate (ENLYFES) that differs by only one amino acid from its parent sequence (ENLYFQS). TEVESNp exhibits a remarkable 65-fold preference for the evolved substrate, marking the first example of an engineered orthogonal protease driven by such a slight difference in substrate recognition. Furthermore, TEVESNp functions as a competent protease for constructing orthogonal protein circuits in bacteria, and molecular dynamics simulations analysis reveals subtle yet functionally significant active site rearrangements. PERRC is a modular dual-substrate display system that facilitates precise engineering of protease specificity.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":"14 6","pages":"2241–2253 2241–2253"},"PeriodicalIF":3.7000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PERRC: Protease Engineering with Reactant Residence Time Control\",\"authors\":\"Sage Nelson, Jokent Gaza, Seyednima Ajayebi, Ronald Masse, Raymond Pho, Cianna Scutero, Samantha Martinusen, Lawton Long, Amor Menezes, Alberto Perez and Carl Denard*, \",\"doi\":\"10.1021/acssynbio.5c0015410.1021/acssynbio.5c00154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Proteases with engineered specificity hold great potential for targeted therapeutics, protein circuit construction, and biotechnology applications. However, many proteases exhibit broad substrate specificity, limiting their use in such applications. Engineering protease specificity remains challenging because evolving a protease to recognize a new substrate, without counterselecting against its native substrate, often results in high residual activity on the original substrate. To address this, we developed Protease Engineering with Reactant Residence Time Control (PERRC), a platform that exploits the correlation between endoplasmic reticulum (ER) retention sequence strength and ER residence time. PERRC allows precise control over the stringency of protease evolution by adjusting counterselection to selection substrate ratios. Using PERRC, we evolved an orthogonal tobacco etch virus protease variant, TEVESNp, that selectively cleaves a substrate (ENLYFES) that differs by only one amino acid from its parent sequence (ENLYFQS). TEVESNp exhibits a remarkable 65-fold preference for the evolved substrate, marking the first example of an engineered orthogonal protease driven by such a slight difference in substrate recognition. Furthermore, TEVESNp functions as a competent protease for constructing orthogonal protein circuits in bacteria, and molecular dynamics simulations analysis reveals subtle yet functionally significant active site rearrangements. 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PERRC: Protease Engineering with Reactant Residence Time Control
Proteases with engineered specificity hold great potential for targeted therapeutics, protein circuit construction, and biotechnology applications. However, many proteases exhibit broad substrate specificity, limiting their use in such applications. Engineering protease specificity remains challenging because evolving a protease to recognize a new substrate, without counterselecting against its native substrate, often results in high residual activity on the original substrate. To address this, we developed Protease Engineering with Reactant Residence Time Control (PERRC), a platform that exploits the correlation between endoplasmic reticulum (ER) retention sequence strength and ER residence time. PERRC allows precise control over the stringency of protease evolution by adjusting counterselection to selection substrate ratios. Using PERRC, we evolved an orthogonal tobacco etch virus protease variant, TEVESNp, that selectively cleaves a substrate (ENLYFES) that differs by only one amino acid from its parent sequence (ENLYFQS). TEVESNp exhibits a remarkable 65-fold preference for the evolved substrate, marking the first example of an engineered orthogonal protease driven by such a slight difference in substrate recognition. Furthermore, TEVESNp functions as a competent protease for constructing orthogonal protein circuits in bacteria, and molecular dynamics simulations analysis reveals subtle yet functionally significant active site rearrangements. PERRC is a modular dual-substrate display system that facilitates precise engineering of protease specificity.
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.