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Production of Bioactive Recombinant Reteplase by Virus-Based Transient Expression System in Nicotiana benthamiana
Author(s) -
Ting Ma,
Zhiying Li,
Sheng Wang
Publication year - 2019
Publication title -
frontiers in plant science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.752
H-Index - 125
ISSN - 1664-462X
DOI - 10.3389/fpls.2019.01225
Subject(s) - nicotiana benthamiana , recombinant dna , reteplase , virology , biology , transient (computer programming) , nicotiana , microbiology and biotechnology , virus , botany , genetics , computer science , solanaceae , medicine , gene , psychiatry , myocardial infarction , thrombolysis , operating system
To explore a cost-effective alternative method to produce the recombinant thrombolytic drug Reteplase (rPA), a plant viral amplicon-based gene expression system was employed to transiently express bioactive Strep II-tagged recombinant rPA in Nicotiana benthamiana leaves via agro-infiltration. Several gene expression cassettes were designed, synthesized in vitro , and then cloned into Tobacco mosaic virus RNA-based overexpression vector. Codon optimization, subcellular targeting, and the effect of attached Strep-tag II were assessed to identify conditions that maximized expression levels of the recombinant rPA in tobacco leaves. We found that codon-optimized rPA with N-terminal Strep-tag II that was aimed to the endoplasmic reticulum as target provided the highest amount of biologically active protein, i.e., up to ∼50 mg from per kilogram fresh weight leaf biomass in less than 1 week. Furthermore, the recombinant rPA was conveniently purified from inoculated leaf extracts by a one-step purification procedure via the Strep-tag II. The plant-made rPA was glycosylated with molecular mass of ∼45.0 kDa, and its in vitro fibrinolysis activity was equivalent to the commercial available rPA. These results indicate that the plant viral amplicon-based system offers a simple and highly effective approach for cost-effective large-scale production of recombinant rPA.

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