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Genes 2018, 9(8), 414; https://doi.org/10.3390/genes9080414

Genome-Wide Quantification of the Effect of Gene Overexpression on Escherichia coli Growth

1
Cell and Molecular Biology Program, University of Arkansas, Fayetteville, AR 72701, USA
2
Department of Chemistry, University of Arkansas, Fort Smith, AR 72913, USA
3
Department of Biological Sciences, University of Arkansas, Fayetteville, AR 72701, USA
4
Fayetteville High School, Fayetteville, AR 72701, USA
5
Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR 72701, USA
*
Author to whom correspondence should be addressed.
Received: 19 July 2018 / Revised: 10 August 2018 / Accepted: 10 August 2018 / Published: 16 August 2018
(This article belongs to the Special Issue Synthetic DNA and RNA Programming)
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Abstract

Recombinant protein production plays an essential role in both biological studies and pharmaceutical production. Escherichia coli is one of the most favorable hosts for this purpose. Although a number of strategies for optimizing protein production have been developed, the effect of gene overexpression on host cell growth has been much less studied. Here, we performed high-throughput tests on the E. coli a complete set of E. coli K-12 ORF archive (ASKA) collection to quantify the effects of overexpressing individual E. coli genes on its growth. The results indicated that overexpressing membrane-associated proteins or proteins with high abundances of branched-chain amino acids tended to impair cell growth, the latter of which could be remedied by amino acid supplementation. Through this study, we expect to provide an index for a fast pre-study estimate of host cell growth in order to choose proper rescuing approaches when working with different proteins. View Full-Text
Keywords: Escherichia coli; recombinant protein production; gene overexpression; growth effect; ASKA collection; codon bias; branched-chain amino acids; gene ontology Escherichia coli; recombinant protein production; gene overexpression; growth effect; ASKA collection; codon bias; branched-chain amino acids; gene ontology
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Chen, H.; Venkat, S.; Wilson, J.; McGuire, P.; Chang, A.L.; Gan, Q.; Fan, C. Genome-Wide Quantification of the Effect of Gene Overexpression on Escherichia coli Growth. Genes 2018, 9, 414.

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