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Biotechnol Bioeng. 2019 Feb 10. doi: 10.1002/bit.26953. [Epub ahead of print]

Improving bioreactor production of a recombinant glycoprotein in Escherichia coli: effect of specific growth rate on protein glycosylation and specific productivity.

Author information

1
Instituto de Investigaciones Biotecnológicas Dr. Rodolfo A. Ugalde, Instituto Tecnológico de Chascomús (IIB-INTECH), Universidad Nacional de San Martín, CONICET, San Martín, Buenos Aires, Argentina.
2
Comisión Nacional de Energía Atómica, Grupo Pecuario, Centro Atómico Ezeiza, Buenos Aires, Argentina.

Abstract

In the last decades bacterial glycoengineering emerged as a new field as the result of the ability to transfer the Campylobacter jejuni N-glycosylation machinery into Escherichia coli for the production of recombinant glycoproteins that can be used as antigens for diagnosis, vaccines and therapeutics. However, the identification of critical parameters implicated in the production process and its optimization in order to jump to a productive scale is still required. In this work, we developed a dual expression glycosylation vector for the production of the recombinant glycoprotein AcrA-O157, a novel antigen that allows the serodiagnosis of the infection with enterohemorrhagic Escherichia coli O157 in humans. Volumetric productivity was studied in different culture media and found that 2xYP had a 6.9-fold higher productivity than the extensively used LB. Subsequently, bioreactor batch and exponential fed-batch cultures were designed in order to determine the influence of the specific growth rate (μ) on AcrA-O157 glycosylation efficiency, production kinetics and specific productivity. At μmax , AcrA glycosylation with O157-polysaccharide and the specific synthesis rate were maximal, constituting the optimal physiological condition for AcrA-O157 production. Our findings should be considered for the design, optimization and scaling up of AcrA-O157 production and other recombinant glycoproteins attractive for industrial applications. This article is protected by copyright. All rights reserved.

KEYWORDS:

N-glycosylation; bacterial glycoengineering; recombinant glycoprotein; specific growth rate

PMID:
30739323
DOI:
10.1002/bit.26953

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