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      The impact of respiration and oxidative stress response on recombinant α-amylase production by Saccharomyces cerevisiae

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          Abstract

          Studying protein production is important for fundamental research on cell biology and applied research for biotechnology. Yeast Saccharomyces cerevisiae is an attractive workhorse for production of recombinant proteins as it does not secrete many endogenous proteins and it is therefore easy to purify a secreted product. However, recombinant production at high rates represents a significant metabolic burden for the yeast cells, which results in oxidative stress and ultimately affects the protein production capacity. Here we describe a method to reduce the overall oxidative stress by overexpressing the endogenous HAP1 gene in a S. cerevisiae strain overproducing recombinant α-amylase. We demonstrate how Hap1p can activate a set of oxidative stress response genes and meanwhile contribute to increase the metabolic rate of the yeast strains, therefore mitigating the negative effect of the ROS accumulation associated to protein folding and hence increasing the production capacity during batch fermentations.

          Highlights

          • Recombinant protein production is a multi-billion dollar market.

          • Heterologous production by yeast generates oxidative stress regardless the target.

          • HAP1 overexpression mitigates oxidative stress while enhancing metabolic capacity.

          • Overexpression of HAP1 allows higher volumetric productivity of recombinant proteins.

          • Strains overexpressing HAP1 may grow in chemostats operated at higher dilution rates.

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          Most cited references29

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          Oxidative protein folding in eukaryotes

          The endoplasmic reticulum (ER) provides an environment that is highly optimized for oxidative protein folding. Rather than relying on small molecule oxidants like glutathione, it is now clear that disulfide formation is driven by a protein relay involving Ero1, a novel conserved FAD-dependent enzyme, and protein disulfide isomerase (PDI); Ero1 is oxidized by molecular oxygen and in turn acts as a specific oxidant of PDI, which then directly oxidizes disulfide bonds in folding proteins. While providing a robust driving force for disulfide formation, the use of molecular oxygen as the terminal electron acceptor can lead to oxidative stress through the production of reactive oxygen species and oxidized glutathione. How Ero1p distinguishes between the many different PDI-related proteins and how the cell minimizes the effects of oxidative damage from Ero1 remain important open questions.
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            Quantitative real-time RT-PCR data analysis: current concepts and the novel "gene expression's CT difference" formula.

            For quantification of gene-specific mRNA, quantitative real-time RT-PCR has become one of the most frequently used methods over the last few years. This article focuses on the issue of real-time PCR data analysis and its mathematical background, offering a general concept for efficient, fast and precise data analysis superior to the commonly used comparative CT (DeltaDeltaCT) and the standard curve method, as it considers individual amplification efficiencies for every PCR. This concept is based on a novel formula for the calculation of relative gene expression ratios, termed GED (Gene Expression's CT Difference) formula. Prerequisites for this formula, such as real-time PCR kinetics, the concept of PCR efficiency and its determination, are discussed. Additionally, this article offers some technical considerations and information on statistical analysis of real-time PCR data.
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              Production of recombinant proteins by microbes and higher organisms.

              Large proteins are usually expressed in a eukaryotic system while smaller ones are expressed in prokaryotic systems. For proteins that require glycosylation, mammalian cells, fungi or the baculovirus system is chosen. The least expensive, easiest and quickest expression of proteins can be carried out in Escherichia coli. However, this bacterium cannot express very large proteins. Also, for S-S rich proteins, and proteins that require post-translational modifications, E. coli is not the system of choice. The two most utilized yeasts are Saccharomyces cerevisiae and Pichia pastoris. Yeasts can produce high yields of proteins at low cost, proteins larger than 50 kD can be produced, signal sequences can be removed, and glycosylation can be carried out. The baculoviral system can carry out more complex post-translational modifications of proteins. The most popular system for producing recombinant mammalian glycosylated proteins is that of mammalian cells. Genetically modified animals secrete recombinant proteins in their milk, blood or urine. Similarly, transgenic plants such as Arabidopsis thaliana and others can generate many recombinant proteins.
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                Author and article information

                Contributors
                Journal
                Metab Eng Commun
                Metab Eng Commun
                Metabolic Engineering Communications
                Elsevier
                2214-0301
                27 June 2016
                December 2016
                27 June 2016
                : 3
                : 205-210
                Affiliations
                [a ]Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, SE41296 Gothenburg, Sweden
                [b ]Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, 41296 Göteborg, Sweden
                [c ]Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK2970 Hørsholm, Denmark
                Author notes
                [* ]Corresponding author at: Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, 41296 Göteborg, Sweden.Department of Biology and Biological Engineering, Chalmers University of TechnologyKemivägen 10Göteborg41296Sweden nielsenj@ 123456chalmers.se
                Article
                S2214-0301(16)30021-9
                10.1016/j.meteno.2016.06.003
                5779723
                29468124
                0c4bc361-98e4-4e42-a6b2-0199d483f777
                © 2016 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 12 January 2016
                : 19 May 2016
                : 21 June 2016
                Categories
                Article

                yeast,oxidative stress response,protein production,hap1,amylase

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