Relationship between recombinant protein expression and host metabolome as determined by two-dimensional NMR spectroscopy.

Escherichia coli has been the most widely used host to produce large amounts of heterologous proteins. However, given an input plasmid DNA, E. coli may produce soluble protein, produce only inclusion bodies, or yield little or no protein at all. Many efforts have been made to surmount these problems...

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Main Authors: Young Kee Chae, Seol Hyun Kim, John L Markley
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5423636?pdf=render
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spelling doaj-22fc0e4012ed4441b4539c63d7f781ca2020-11-24T21:14:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01125e017723310.1371/journal.pone.0177233Relationship between recombinant protein expression and host metabolome as determined by two-dimensional NMR spectroscopy.Young Kee ChaeSeol Hyun KimJohn L MarkleyEscherichia coli has been the most widely used host to produce large amounts of heterologous proteins. However, given an input plasmid DNA, E. coli may produce soluble protein, produce only inclusion bodies, or yield little or no protein at all. Many efforts have been made to surmount these problems, but most of them have involved time-consuming and labor-intensive trial-and-error. We hypothesized that different metabolomic fingerprints might be associated with different protein production outcomes. If so, then it might be possible to change the expression pattern by manipulating the metabolite environment. As a first step in testing this hypothesis, we probed a subset of the intracellular metabolites by partially labeling it with 13C-glucose. We tested 71 genes and identified 17 metabolites by employing the two-dimensional NMR spectroscopy. The statistical analysis showed that there existed the metabolite compositions favoring protein production. We hope that this work would help devise a systematic and predictive approach to the recombinant protein production.http://europepmc.org/articles/PMC5423636?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Young Kee Chae
Seol Hyun Kim
John L Markley
spellingShingle Young Kee Chae
Seol Hyun Kim
John L Markley
Relationship between recombinant protein expression and host metabolome as determined by two-dimensional NMR spectroscopy.
PLoS ONE
author_facet Young Kee Chae
Seol Hyun Kim
John L Markley
author_sort Young Kee Chae
title Relationship between recombinant protein expression and host metabolome as determined by two-dimensional NMR spectroscopy.
title_short Relationship between recombinant protein expression and host metabolome as determined by two-dimensional NMR spectroscopy.
title_full Relationship between recombinant protein expression and host metabolome as determined by two-dimensional NMR spectroscopy.
title_fullStr Relationship between recombinant protein expression and host metabolome as determined by two-dimensional NMR spectroscopy.
title_full_unstemmed Relationship between recombinant protein expression and host metabolome as determined by two-dimensional NMR spectroscopy.
title_sort relationship between recombinant protein expression and host metabolome as determined by two-dimensional nmr spectroscopy.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description Escherichia coli has been the most widely used host to produce large amounts of heterologous proteins. However, given an input plasmid DNA, E. coli may produce soluble protein, produce only inclusion bodies, or yield little or no protein at all. Many efforts have been made to surmount these problems, but most of them have involved time-consuming and labor-intensive trial-and-error. We hypothesized that different metabolomic fingerprints might be associated with different protein production outcomes. If so, then it might be possible to change the expression pattern by manipulating the metabolite environment. As a first step in testing this hypothesis, we probed a subset of the intracellular metabolites by partially labeling it with 13C-glucose. We tested 71 genes and identified 17 metabolites by employing the two-dimensional NMR spectroscopy. The statistical analysis showed that there existed the metabolite compositions favoring protein production. We hope that this work would help devise a systematic and predictive approach to the recombinant protein production.
url http://europepmc.org/articles/PMC5423636?pdf=render
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AT johnlmarkley relationshipbetweenrecombinantproteinexpressionandhostmetabolomeasdeterminedbytwodimensionalnmrspectroscopy
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