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      Process development for the continuous production of heterologous proteins by the industrial yeast, Komagataella phaffii

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          Abstract

          The current trend in industrial biotechnology is to move from batch or fed‐batch fermentations to continuous operations. The success of this transition will require the development of genetically stable production strains, the use of strong constitutive promoters, and the development of new medium formulations that allow an appropriate balance between cell growth and product formation. We identified genes that showed high expression in Komagataella phaffii during different steady‐state conditions and explored the utility of promoters of these genes (Chr1–4_0586 and FragB_0052) in optimizing the expression of two different r‐proteins, human lysozyme (HuLy), and the anti‐idiotypic antibody fragment, Fab‐3H6, in comparison with the widely used glyceraldehyde‐3‐phosphate dehydrogenase promoter. Our results showed that the promoter strength was highly dependent on the cultivation conditions and thus constructs should be tested under a range of conditions to determine both the best performing clone and the ideal promoter for the expression of the protein of interest. An important benefit of continuous production is that it facilitates the use of the genome‐scale metabolic models in the design of strains and cultivation media. In silico flux distributions showed that production of either protein increased the flux through aromatic amino acid biosynthesis. Tyrosine supplementation increased the productivity for both proteins, whereas tryptophan addition did not cause any significant change and, phenylalanine addition increased the expression of HuLy but decreased that of Fab‐3H6. These results showed that a genome‐scale metabolic model can be used to assess the metabolic burden imposed by the synthesis of a specific r‐protein and then this information can be used to tailor a cultivation medium to increase production.

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          Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0.

          Over the past decade, a growing community of researchers has emerged around the use of constraint-based reconstruction and analysis (COBRA) methods to simulate, analyze and predict a variety of metabolic phenotypes using genome-scale models. The COBRA Toolbox, a MATLAB package for implementing COBRA methods, was presented earlier. Here we present a substantial update of this in silico toolbox. Version 2.0 of the COBRA Toolbox expands the scope of computations by including in silico analysis methods developed since its original release. New functions include (i) network gap filling, (ii) (13)C analysis, (iii) metabolic engineering, (iv) omics-guided analysis and (v) visualization. As with the first version, the COBRA Toolbox reads and writes systems biology markup language-formatted models. In version 2.0, we improved performance, usability and the level of documentation. A suite of test scripts can now be used to learn the core functionality of the toolbox and validate results. This toolbox lowers the barrier of entry to use powerful COBRA methods.
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            Promoter library designed for fine-tuned gene expression in Pichia pastoris

            Although frequently used as protein production host, there is only a limited set of promoters available to drive the expression of recombinant proteins in Pichia pastoris. Fine-tuning of gene expression is often needed to maximize product yield and quality. However, for efficient knowledge-based engineering, a better understanding of promoter function is indispensable. Consequently, we created a promoter library by deletion and duplication of putative transcription factor-binding sites within the AOX1 promoter (P AOX1 ) sequence. This first library initially spanned an activity range between ∼6% and >160% of the wild-type promoter activity. After characterization of the promoter library employing a green fluorescent protein (GFP) variant, the new regulatory toolbox was successfully utilized in a ‘real case’, i.e. the expression of industrial enzymes. Characterization of the library under repressing, derepressing and inducing conditions displayed at least 12 cis-acting elements involved in P AOX1 -driven high-level expression. Based on this deletion analysis, novel short artificial promoter variants were constructed by combining cis-acting elements with basal promoter. In addition to improving yields and quality of heterologous protein production, the new P AOX1 synthetic promoter library constitutes a basic toolbox to fine-tune gene expression in metabolic engineering and sequential induction of protein expression in synthetic biology.
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              Regulation of Pichia pastoris promoters and its consequences for protein production.

              The methylotrophic yeast Pichia pastoris is a widely used host for heterologous protein production. Along with favorable properties such as growth to high cell density and high capacities for protein secretion, P. pastoris provides a strong, methanol inducible promoter of the alcohol oxidase 1 (AOX1) gene. The regulation of this promoter has been extensively studied in recent years by characterizing cis-acting sequence elements and trans-acting factors, revealing insights into underlying molecular mechanisms. However, new alternative promoters have also been identified and characterized by means of their transcriptional regulation and feasibility for protein production using P. pastoris. Besides the often applied GAP promoter, these include a variety of constitutive promoters from housekeeping genes (e.g. TEF1, PGK1, TPI1) and inducible promoters from particular biochemical pathways (e.g. PHO89, THI11, AOD). In addition to these promoter sequence/function based studies, transcriptional regulation has also been investigated by characterizing transcription factors (TFs) and their modes of controlling bioprocess relevant traits. TFs involved in such diverse cellular processes such as the unfolded protein response (UPR) (Hac1p), iron uptake (Fep1p) and oxidative stress response (Yap1p) have been studied. Understanding of these natural transcriptional regulatory networks is a helpful basis for synthetic biology and metabolic engineering approaches that enable the design of tailor-made production strains. Copyright © 2012 Elsevier B.V. All rights reserved.
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                Author and article information

                Contributors
                sgo24@cam.ac.uk
                Journal
                Biotechnol Bioeng
                Biotechnol. Bioeng
                10.1002/(ISSN)1097-0290
                BIT
                Biotechnology and Bioengineering
                John Wiley and Sons Inc. (Hoboken )
                0006-3592
                1097-0290
                24 October 2018
                December 2018
                : 115
                : 12 ( doiID: 10.1002/bit.v115.12 )
                : 2962-2973
                Affiliations
                [ 1 ] Department of Biochemistry Cambridge Systems Biology Centre, University of Cambridge Cambridge United Kingdom
                [ 2 ] School of Life Sciences, University of Nottingham, University Park Nottingham United Kingdom
                [ 3 ] Department of Chemical Engineering & Biotechnology University of Cambridge, Cambridge University West Site Cambridge United Kingdom
                Author notes
                [*] [* ] Correspondence Stephen G. Oliver, Department of Biochemistry, Cambridge Systems Biology Centre, University of Cambridge, Cambridge, CB2 1GA, United Kingdom. Email: sgo24@ 123456cam.ac.uk

                [†]

                Present Address †Azotic Technologies, Biocity, Pennyfoot Street, Nottingham, United Kingdom

                [‡]

                Present Address: Industrial Biotechnology and Systems Biology (IBSB), Department of Bioengineering, Marmara University, Istanbul, Turkey

                Author information
                http://orcid.org/0000-0002-4431-7259
                http://orcid.org/0000-0003-3410-6439
                Article
                BIT26846
                10.1002/bit.26846
                6283250
                30267565
                5a9fe147-4962-4031-a16c-a9722479e5a1
                © 2018 The Authors. Biotechnology and Bioengineering Published by Wiley Periodicals, Inc.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 July 2018
                : 25 September 2018
                : 27 September 2018
                Page count
                Figures: 6, Tables: 1, Pages: 12, Words: 8092
                Funding
                Funded by: FP7 Food, Agriculture and Fisheries, Biotechnology
                Award ID: 289126
                Funded by: Biotechnology and Biological Sciences Research Council
                Award ID: BB/K011138/1
                Categories
                Article
                ARTICLES
                Cellular and Metabolic Engineering
                Custom metadata
                2.0
                bit26846
                December 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.5.3 mode:remove_FC converted:06.12.2018

                Biotechnology
                antibody,continuous bioprocessing,human lysozyme (huly),komagataella phaffii ( k. phaffi),pichia pastoris ( p. pastoris),process optimization

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