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 inPloS one Vol. 12; no. 5; p. e0176314
Main Authors Weber, Ernst, Birkenfeld, Jörg, Franz, Jürgen, Gritzan, Uwe, Linden, Lars, Trautwein, Mark
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 17.05.2017
Public Library of Science (PLoS)
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ISSN1932-6203
1932-6203
DOI10.1371/journal.pone.0176314

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Summary: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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Current address: R&D Biologics Research/Protein Therapeutics, Sanofi-Aventis Deutschland GmbH, Frankfurt am Main, Germany
Conceptualization: EW.Data curation: EW UG MT.Investigation: EW JB JF UG LL MT.Methodology: EW.Project administration: EW.Resources: EW JB JF UG LL MT.Writing – original draft: EW.Writing – review & editing: EW JB JF UG LL MT.
Competing Interests: Ernst Weber, Jörg Birkenfeld, Jürgen Franz, Uwe Gritzan, Lars Linden and Mark Trautwein are employed by Bayer Pharma AG. There are no patents, products in development or marketed products to declare. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials, as detailed online in the guide for authors.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0176314