A scalable screening of E. coli strains for recombinant protein expression.

Structural biology projects are highly dependent on the large-scale expression of soluble protein and, for this purpose, heterologous expression using bacteria or yeast as host systems is usually employed. In this scenario, some of the parameters to be optimized include (i) those related to the prot...

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Published in:PLOS ONE
Main Authors: Luana G Morão, Lívia R Manzine, Lívia Oliveira D Clementino, Carsten Wrenger, Alessandro S Nascimento
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2022
Subjects:
R
Q
Online Access:https://doi.org/10.1371/journal.pone.0271403
https://doaj.org/article/810187e41b8b4532a2c4ad3e2edc12b8
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spelling ftdoajarticles:oai:doaj.org/article:810187e41b8b4532a2c4ad3e2edc12b8 2023-05-15T15:00:28+02:00 A scalable screening of E. coli strains for recombinant protein expression. Luana G Morão Lívia R Manzine Lívia Oliveira D Clementino Carsten Wrenger Alessandro S Nascimento 2022-01-01T00:00:00Z https://doi.org/10.1371/journal.pone.0271403 https://doaj.org/article/810187e41b8b4532a2c4ad3e2edc12b8 EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pone.0271403 https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0271403 https://doaj.org/article/810187e41b8b4532a2c4ad3e2edc12b8 PLoS ONE, Vol 17, Iss 7, p e0271403 (2022) Medicine R Science Q article 2022 ftdoajarticles https://doi.org/10.1371/journal.pone.0271403 2022-12-30T21:18:21Z Structural biology projects are highly dependent on the large-scale expression of soluble protein and, for this purpose, heterologous expression using bacteria or yeast as host systems is usually employed. In this scenario, some of the parameters to be optimized include (i) those related to the protein construct, such as the use of a fusion protein, the choice of an N-terminus fusion/tag or a C-terminus fusion/tag; (ii) those related to the expression stage, such as the concentration and selection of inducer agent and temperature expression and (iii) the choice of the host system, which includes the selection of a prokaryotic or eukaryotic cell and the adoption of a strain. The optimization of some of the parameters related to protein expression, stage (ii), is straightforward. On the other hand, the determination of the most suitable parameters related to protein construction requires a new cycle of gene cloning, while the optimization of the host cell is less straightforward. Here, we evaluated a scalable approach for the screening of host cells for protein expression in a structural biology pipeline. We evaluated four Escherichia coli strains looking for the best yield of soluble heterologous protein expression using the same strategy for protein construction and gene cloning and comparing it to our standard strain, Rosetta 2 (DE3). Using a liquid handling device (robot), E. coli pT-GroE, Lemo21(DE3), Arctic Express (DE3), and Rosetta Gami 2 (DE3) strains were screened for the maximal yield of soluble heterologous protein recovery. For the genes used in this experiment, the Arctic Express (DE3) strain resulted in better yields of soluble heterologous proteins. We propose that screening of host cell/strain is feasible, even for smaller laboratories and the experiment as proposed can easily be scalable to a high-throughput approach. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS ONE 17 7 e0271403
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Luana G Morão
Lívia R Manzine
Lívia Oliveira D Clementino
Carsten Wrenger
Alessandro S Nascimento
A scalable screening of E. coli strains for recombinant protein expression.
topic_facet Medicine
R
Science
Q
description Structural biology projects are highly dependent on the large-scale expression of soluble protein and, for this purpose, heterologous expression using bacteria or yeast as host systems is usually employed. In this scenario, some of the parameters to be optimized include (i) those related to the protein construct, such as the use of a fusion protein, the choice of an N-terminus fusion/tag or a C-terminus fusion/tag; (ii) those related to the expression stage, such as the concentration and selection of inducer agent and temperature expression and (iii) the choice of the host system, which includes the selection of a prokaryotic or eukaryotic cell and the adoption of a strain. The optimization of some of the parameters related to protein expression, stage (ii), is straightforward. On the other hand, the determination of the most suitable parameters related to protein construction requires a new cycle of gene cloning, while the optimization of the host cell is less straightforward. Here, we evaluated a scalable approach for the screening of host cells for protein expression in a structural biology pipeline. We evaluated four Escherichia coli strains looking for the best yield of soluble heterologous protein expression using the same strategy for protein construction and gene cloning and comparing it to our standard strain, Rosetta 2 (DE3). Using a liquid handling device (robot), E. coli pT-GroE, Lemo21(DE3), Arctic Express (DE3), and Rosetta Gami 2 (DE3) strains were screened for the maximal yield of soluble heterologous protein recovery. For the genes used in this experiment, the Arctic Express (DE3) strain resulted in better yields of soluble heterologous proteins. We propose that screening of host cell/strain is feasible, even for smaller laboratories and the experiment as proposed can easily be scalable to a high-throughput approach.
format Article in Journal/Newspaper
author Luana G Morão
Lívia R Manzine
Lívia Oliveira D Clementino
Carsten Wrenger
Alessandro S Nascimento
author_facet Luana G Morão
Lívia R Manzine
Lívia Oliveira D Clementino
Carsten Wrenger
Alessandro S Nascimento
author_sort Luana G Morão
title A scalable screening of E. coli strains for recombinant protein expression.
title_short A scalable screening of E. coli strains for recombinant protein expression.
title_full A scalable screening of E. coli strains for recombinant protein expression.
title_fullStr A scalable screening of E. coli strains for recombinant protein expression.
title_full_unstemmed A scalable screening of E. coli strains for recombinant protein expression.
title_sort scalable screening of e. coli strains for recombinant protein expression.
publisher Public Library of Science (PLoS)
publishDate 2022
url https://doi.org/10.1371/journal.pone.0271403
https://doaj.org/article/810187e41b8b4532a2c4ad3e2edc12b8
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source PLoS ONE, Vol 17, Iss 7, p e0271403 (2022)
op_relation https://doi.org/10.1371/journal.pone.0271403
https://doaj.org/toc/1932-6203
1932-6203
doi:10.1371/journal.pone.0271403
https://doaj.org/article/810187e41b8b4532a2c4ad3e2edc12b8
op_doi https://doi.org/10.1371/journal.pone.0271403
container_title PLOS ONE
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