Optimization and scale-up production of Zika virus ΔNS1 in Escherichia coli: application of Response Surface Methodology
- PMID: 31893321
- PMCID: PMC6938527
- DOI: 10.1186/s13568-019-0926-y
Optimization and scale-up production of Zika virus ΔNS1 in Escherichia coli: application of Response Surface Methodology
Abstract
Diagnosing Zika virus (ZIKV) infections has been challenging due to the cross-reactivity of induced antibodies with other flavivirus. The concomitant occurrence of ZIKV and Dengue virus (DENV) in endemic regions requires diagnostic tools with the ability to distinguish these two viral infections. Recent studies demonstrated that immunoassays using the C-terminal fragment of ZIKV NS1 antigen (ΔNS1) can be used to discriminate ZIKV from DENV infections. In order to be used in serological tests, the expression/solubility of ΔNS1 and growth of recombinant E. coli strain were optimized by Response Surface Methodology. Temperature, time and IPTG concentration were evaluated. According to the model, the best condition determined in small scale cultures was 21 °C for 20 h with 0.7 mM of IPTG, which predicted 7.5 g/L of biomass and 962 mg/L of ΔNS1. These conditions were validated and used in a 6-L batch in the bioreactor, which produced 6.4 g/L of biomass and 500 mg/L of ΔNS1 in 12 h of induction. The serological ELISA test performed with purified ΔNS1 showed low cross-reactivity with antibodies from DENV-infected human subjects. Denaturation of ΔNS1 decreased the detection of anti-ZIKV antibodies, thus indicating the contribution of conformational epitopes and confirming the importance of properly folded ΔNS1 for the specificity of the serological analyses. Obtaining high yields of soluble ΔNS1 supports the viability of an effective serologic diagnostic test capable of differentiating ZIKV from other flavivirus infections.
Keywords: E. coli; Heterologous protein production; Response Surface Methodology; Serological diagnosis; Soluble expression; Zika NS1.
Conflict of interest statement
The authors have a patent application on the gene sequence of the Zika virus used for differential diagnosis (Number: BR 10 2016011318 0) and another patent on the ΔNS1 production process developed (Number: BR 10 2018067345 9).
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