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Codon Optimizing for Increased Membrane Protein Production: A Minimalist Approach
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.ORCID iD: 0000-0002-6425-5059
2016 (English)In: Heterologous Expression of Membrane Proteins: Methods and Protocols / [ed] Isabelle Mus-Veteau, New York: Humana Press, 2016, p. 53-61Chapter in book (Refereed)
Abstract [en]

Reengineering a gene with synonymous codons is a popular approach for increasing production levels of recombinant proteins. Here we present a minimalist alternative to this method, which samples synonymous codons only at the second and third positions rather than the entire coding sequence. As demonstrated with two membrane-embedded transporters in Escherichia coli, the method was more effective than optimizing the entire coding sequence. The method we present is PCR based and requires three simple steps: (1) the design of two PCR primers, one of which is degenerate; (2) the amplification of a mini-library by PCR; and (3) screening for high-expressing clones.

Place, publisher, year, edition, pages
New York: Humana Press, 2016. p. 53-61
Series
Methods in Molecular Biology, ISSN 1064-3745 ; 1432
Keywords [en]
Membrane protein, Protein expression, Codon optimization, Synonymous codon
National Category
Biological Sciences
Research subject
Biochemistry
Identifiers
URN: urn:nbn:se:su:diva-158444DOI: 10.1007/978-1-4939-3637-3_4ISBN: 978-1-4939-3635-9 (print)ISBN: 978-1-4939-3637-3 (electronic)OAI: oai:DiVA.org:su-158444DiVA, id: diva2:1236503
Available from: 2018-08-02 Created: 2018-08-02 Last updated: 2022-02-26Bibliographically approved
In thesis
1. Engineering microbial cell factories for protein production
Open this publication in new window or tab >>Engineering microbial cell factories for protein production
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Proteins are often produced using microbial cell factories for academic or industrial purposes. Protein production is however not an open-and-shut procedure. Production yields often vary in an unpredictable and context dependent manner, limiting the rational design of a straightforward production experiment.

This thesis gives an overview of how proteins are biosynthesised in bacterial cells and how this knowledge is used to produce proteins recombinantly in a host organism such as Escherichia coli. In the present investigation, we reason that unpredictable and poor protein production yields could result from incompatibility between the vector derived 5’ UTR and the 5’ end of the cloned CDS which leads to an unevolved translation initiation region (TIR). Data presented in this thesis show that an unevolved TIR could work more efficiently and yield more produced protein if subjected to synthetic evolution. Clones with an engineered synthetically evolved TIR showed enhanced protein production in both small- and large-scale production setups. This engineering method could lower production expenses, which in turn would result in increased functional determination of proteins and expanded availability of protein-based medicine to people globally. 

Place, publisher, year, edition, pages
Stockholm: Department of Biochemistry and Biophysics, Stockholm University, 2018. p. 60
Keywords
Protein production, expression vector, recombinant DNA, Translation initiation region, Escherichia coli, mRNA secondary structure, Synthetic evolution
National Category
Biochemistry Molecular Biology
Research subject
Biochemistry
Identifiers
urn:nbn:se:su:diva-158482 (URN)978-91-7797-366-9 (ISBN)978-91-7797-367-6 (ISBN)
Public defence
2018-09-21, Magnélisalen, Kemiska övningslaboratoriet, Svante Arrhenius väg 16B, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 4: Manuscript.

Available from: 2018-08-29 Created: 2018-08-06 Last updated: 2025-02-20Bibliographically approved

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Mirzadeh, KiavashDaley, Daniel O.

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