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Modular Protein Expression Toolbox (MoPET), a standardized assembly system for defined expression constructs and expression optimization libraries
The design and generation of an optimal expression construct is the first and essential step in in the characterization of a protein of interest. Besides evaluation and optimization of process parameters (e.g. selection of the best expression host or cell line and optimal induction conditions and ti...
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Published in: | PloS one 2017-05, Vol.12 (5), p.e0176314-e0176314 |
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description | The design and generation of an optimal expression construct is the first and essential step in in the characterization of a protein of interest. Besides evaluation and optimization of process parameters (e.g. selection of the best expression host or cell line and optimal induction conditions and time points), the design of the expression construct itself has a major impact. However, the path to this final expression construct is often not straight forward and includes multiple learning cycles accompanied by design variations and retesting of construct variants, since multiple, functional DNA sequences of the expression vector backbone, either coding or non-coding, can have a major impact on expression yields. To streamline the generation of defined expression constructs of otherwise difficult to express proteins, the Modular Protein Expression Toolbox (MoPET) has been developed. This cloning platform allows highly efficient DNA assembly of pre-defined, standardized functional DNA modules with a minimal cloning burden. Combining these features with a standardized cloning strategy facilitates the identification of optimized DNA expression constructs in shorter time. The MoPET system currently consists of 53 defined DNA modules divided into eight functional classes and can be flexibly expanded. However, already with the initial set of modules, 792,000 different constructs can be rationally designed and assembled. Furthermore, this starting set was used to generate small and mid-sized combinatorial expression optimization libraries. Applying this screening approach, variants with up to 60-fold expression improvement have been identified by MoPET variant library screening. |
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Besides evaluation and optimization of process parameters (e.g. selection of the best expression host or cell line and optimal induction conditions and time points), the design of the expression construct itself has a major impact. However, the path to this final expression construct is often not straight forward and includes multiple learning cycles accompanied by design variations and retesting of construct variants, since multiple, functional DNA sequences of the expression vector backbone, either coding or non-coding, can have a major impact on expression yields. To streamline the generation of defined expression constructs of otherwise difficult to express proteins, the Modular Protein Expression Toolbox (MoPET) has been developed. This cloning platform allows highly efficient DNA assembly of pre-defined, standardized functional DNA modules with a minimal cloning burden. Combining these features with a standardized cloning strategy facilitates the identification of optimized DNA expression constructs in shorter time. The MoPET system currently consists of 53 defined DNA modules divided into eight functional classes and can be flexibly expanded. However, already with the initial set of modules, 792,000 different constructs can be rationally designed and assembled. Furthermore, this starting set was used to generate small and mid-sized combinatorial expression optimization libraries. Applying this screening approach, variants with up to 60-fold expression improvement have been identified by MoPET variant library screening.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0176314</identifier><identifier>PMID: 28520717</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adaptations ; Algorithms ; Amino acids ; Assaying ; Assembly ; Attitude control ; Backbone ; Biochemistry ; Biological activity ; Biological products ; Biology ; Biology and Life Sciences ; Biotin ; Biotinylation ; Cellular proteins ; Cloning ; Cloning vectors ; Cloning, Molecular - methods ; Coding ; Combinatorial analysis ; Constrictions ; Deoxyribonucleic acid ; DNA ; DNA shuffling ; E coli ; Effectors ; Endonuclease ; Engineering ; Fragmentation ; Gene Library ; Genes ; Genetic Vectors - genetics ; HEK293 Cells ; Homologous recombination ; Homology ; Humans ; Medical screening ; Methods ; Modules ; Molecular biology ; Nucleic acids ; Nucleotide sequence ; Nucleotides ; Optimization ; Peptides ; Physical Sciences ; Polyadenylation ; Polypeptides ; Promoters ; Properties ; Protein engineering ; Protein Engineering - methods ; Protein expression ; Protein synthesis ; Proteins ; Proteomics ; Pyridine nucleotide reductase ; Recombinant DNA ; Recombinant Proteins - genetics ; Recombinant Proteins - metabolism ; Research and Analysis Methods ; Reviews ; Signal peptides ; Standardization ; Terminal protein ; Tracking ; Transcription factors ; Transfection ; Viruses</subject><ispartof>PloS one, 2017-05, Vol.12 (5), p.e0176314-e0176314</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Weber et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Besides evaluation and optimization of process parameters (e.g. selection of the best expression host or cell line and optimal induction conditions and time points), the design of the expression construct itself has a major impact. However, the path to this final expression construct is often not straight forward and includes multiple learning cycles accompanied by design variations and retesting of construct variants, since multiple, functional DNA sequences of the expression vector backbone, either coding or non-coding, can have a major impact on expression yields. To streamline the generation of defined expression constructs of otherwise difficult to express proteins, the Modular Protein Expression Toolbox (MoPET) has been developed. This cloning platform allows highly efficient DNA assembly of pre-defined, standardized functional DNA modules with a minimal cloning burden. 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Applying this screening approach, variants with up to 60-fold expression improvement have been identified by MoPET variant library screening.</description><subject>Adaptations</subject><subject>Algorithms</subject><subject>Amino acids</subject><subject>Assaying</subject><subject>Assembly</subject><subject>Attitude control</subject><subject>Backbone</subject><subject>Biochemistry</subject><subject>Biological activity</subject><subject>Biological products</subject><subject>Biology</subject><subject>Biology and Life Sciences</subject><subject>Biotin</subject><subject>Biotinylation</subject><subject>Cellular proteins</subject><subject>Cloning</subject><subject>Cloning vectors</subject><subject>Cloning, Molecular - methods</subject><subject>Coding</subject><subject>Combinatorial analysis</subject><subject>Constrictions</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA shuffling</subject><subject>E 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Protein Expression Toolbox (MoPET), a standardized assembly system for defined expression constructs and expression optimization libraries</title><author>Weber, Ernst ; Birkenfeld, Jörg ; Franz, Jürgen ; Gritzan, Uwe ; Linden, Lars ; Trautwein, Mark</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c593t-866143e034c0f36b00faa779355493b7a23d032ab6fb40a3119f903ad1affb6d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adaptations</topic><topic>Algorithms</topic><topic>Amino acids</topic><topic>Assaying</topic><topic>Assembly</topic><topic>Attitude control</topic><topic>Backbone</topic><topic>Biochemistry</topic><topic>Biological activity</topic><topic>Biological products</topic><topic>Biology</topic><topic>Biology and Life Sciences</topic><topic>Biotin</topic><topic>Biotinylation</topic><topic>Cellular proteins</topic><topic>Cloning</topic><topic>Cloning vectors</topic><topic>Cloning, Molecular - methods</topic><topic>Coding</topic><topic>Combinatorial analysis</topic><topic>Constrictions</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>DNA shuffling</topic><topic>E coli</topic><topic>Effectors</topic><topic>Endonuclease</topic><topic>Engineering</topic><topic>Fragmentation</topic><topic>Gene Library</topic><topic>Genes</topic><topic>Genetic Vectors - genetics</topic><topic>HEK293 Cells</topic><topic>Homologous recombination</topic><topic>Homology</topic><topic>Humans</topic><topic>Medical screening</topic><topic>Methods</topic><topic>Modules</topic><topic>Molecular biology</topic><topic>Nucleic acids</topic><topic>Nucleotide sequence</topic><topic>Nucleotides</topic><topic>Optimization</topic><topic>Peptides</topic><topic>Physical Sciences</topic><topic>Polyadenylation</topic><topic>Polypeptides</topic><topic>Promoters</topic><topic>Properties</topic><topic>Protein engineering</topic><topic>Protein Engineering - 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Besides evaluation and optimization of process parameters (e.g. selection of the best expression host or cell line and optimal induction conditions and time points), the design of the expression construct itself has a major impact. However, the path to this final expression construct is often not straight forward and includes multiple learning cycles accompanied by design variations and retesting of construct variants, since multiple, functional DNA sequences of the expression vector backbone, either coding or non-coding, can have a major impact on expression yields. To streamline the generation of defined expression constructs of otherwise difficult to express proteins, the Modular Protein Expression Toolbox (MoPET) has been developed. This cloning platform allows highly efficient DNA assembly of pre-defined, standardized functional DNA modules with a minimal cloning burden. Combining these features with a standardized cloning strategy facilitates the identification of optimized DNA expression constructs in shorter time. The MoPET system currently consists of 53 defined DNA modules divided into eight functional classes and can be flexibly expanded. However, already with the initial set of modules, 792,000 different constructs can be rationally designed and assembled. Furthermore, this starting set was used to generate small and mid-sized combinatorial expression optimization libraries. Applying this screening approach, variants with up to 60-fold expression improvement have been identified by MoPET variant library screening.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28520717</pmid><doi>10.1371/journal.pone.0176314</doi><orcidid>https://orcid.org/0000-0002-3743-3083</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adaptations Algorithms Amino acids Assaying Assembly Attitude control Backbone Biochemistry Biological activity Biological products Biology Biology and Life Sciences Biotin Biotinylation Cellular proteins Cloning Cloning vectors Cloning, Molecular - methods Coding Combinatorial analysis Constrictions Deoxyribonucleic acid DNA DNA shuffling E coli Effectors Endonuclease Engineering Fragmentation Gene Library Genes Genetic Vectors - genetics HEK293 Cells Homologous recombination Homology Humans Medical screening Methods Modules Molecular biology Nucleic acids Nucleotide sequence Nucleotides Optimization Peptides Physical Sciences Polyadenylation Polypeptides Promoters Properties Protein engineering Protein Engineering - methods Protein expression Protein synthesis Proteins Proteomics Pyridine nucleotide reductase Recombinant DNA Recombinant Proteins - genetics Recombinant Proteins - metabolism Research and Analysis Methods Reviews Signal peptides Standardization Terminal protein Tracking Transcription factors Transfection Viruses |
title | Modular Protein Expression Toolbox (MoPET), a standardized assembly system for defined expression constructs and expression optimization libraries |
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