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: Morão, Luana G., Manzine, Lívia R., Clementino, Lívia Oliveira D., Wrenger, Carsten, Nascimento, Alessandro S.
Format: Text
Language:English
Published: Public Library of Science 2022
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312941/
http://www.ncbi.nlm.nih.gov/pubmed/35877655
https://doi.org/10.1371/journal.pone.0271403
id ftpubmed:oai:pubmedcentral.nih.gov:9312941
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spelling ftpubmed:oai:pubmedcentral.nih.gov:9312941 2023-05-15T15:00:29+02:00 A scalable screening of E. coli strains for recombinant protein expression Morão, Luana G. Manzine, Lívia R. Clementino, Lívia Oliveira D. Wrenger, Carsten Nascimento, Alessandro S. 2022-07-25 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312941/ http://www.ncbi.nlm.nih.gov/pubmed/35877655 https://doi.org/10.1371/journal.pone.0271403 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312941/ http://www.ncbi.nlm.nih.gov/pubmed/35877655 http://dx.doi.org/10.1371/journal.pone.0271403 © 2022 Morão et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY PLoS One Research Article Text 2022 ftpubmed https://doi.org/10.1371/journal.pone.0271403 2022-07-31T02:51:53Z 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. Text Arctic PubMed Central (PMC) Arctic PLOS ONE 17 7 e0271403
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Morão, Luana G.
Manzine, Lívia R.
Clementino, Lívia Oliveira D.
Wrenger, Carsten
Nascimento, Alessandro S.
A scalable screening of E. coli strains for recombinant protein expression
topic_facet Research Article
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 Text
author Morão, Luana G.
Manzine, Lívia R.
Clementino, Lívia Oliveira D.
Wrenger, Carsten
Nascimento, Alessandro S.
author_facet Morão, Luana G.
Manzine, Lívia R.
Clementino, Lívia Oliveira D.
Wrenger, Carsten
Nascimento, Alessandro S.
author_sort Morão, Luana G.
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
publishDate 2022
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312941/
http://www.ncbi.nlm.nih.gov/pubmed/35877655
https://doi.org/10.1371/journal.pone.0271403
geographic Arctic
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op_source PLoS One
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312941/
http://www.ncbi.nlm.nih.gov/pubmed/35877655
http://dx.doi.org/10.1371/journal.pone.0271403
op_rights © 2022 Morão et al
https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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