Statistical optimization of culture medium to produce recombinant viral protein by Escherichia coli host for diagnostic kit to detect human immunodeficiency virus (HIV) infection

Sekar, Ashokkumar; Shin, Yungoh; Jeong, Hyeong-Chul; Kim, Keun

doi:10.1016/j.bbrc.2018.08.133

Cited by 4 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this work, RSM was used to increase biomass yields of recombinant E. coli harbouring plasmid pET15b with gene for influenza virus NA. Key factors found to affect E. coli biomass yields were carbon and nitrogen sources (Farliahati et al 2010;Sekar et al 2018) and based to our preliminary studies (data not shown) also the phosphate source. Therefore, the effect of these three factors on final biomass yield were evaluated ( Fig.…”

Section: Selection Of Independent Variables For Optimizationmentioning

confidence: 89%

“…In the literature, statistical experimental design has been used to optimize the production of various types of recombinant proteins (Farliahati et al 2010;Larentis et al 2012;Sekar et al 2018). In this work, RSM was used to increase biomass yields of recombinant E. coli harbouring plasmid pET15b with gene for influenza virus NA.…”

Section: Selection Of Independent Variables For Optimizationmentioning

confidence: 99%

“…The induction of recombinant protein synthesis is initiated by the addition of an inducer of promoter after the depletion of carbon source in the second step of production strategy. The biomass yield can be affected by the composition of production medium leading to high-level production of heterologous protein (Sekar et al 2018). Thus, the yield of recombinant protein may be proportional to the final biomass production.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of medium composition for propagation of recombinant Escherichia coli

Lipničanová

Chmelová

Godány

et al. 2019

Nova Biotechnologica Et Chimica

View full text Add to dashboard Cite

Recombinant protein production in heterologous hosts often seems a simpler and more effective way than its production by natural producer. The secretion of recombinant protein in Escherichia coli has many advantages comparing to than in insect or mammalian cells. The important factor for high-level recombinant protein production is the sufficient amount of E. coli biomass. Therefore, the aim of this study was to optimize the composition of propagation medium resulting in the maximum biomass yield of recombinant E. coli as the part of fermentation strategy for neuraminidase (NA) production. Three independent variables including glucose, asparagine and phosphate concentrations, and four dependent variables, such as biomass yield, residual concentrations of glucose or asparagine and pH of the propagation medium after fermentation, were chosen to the optimization by Response Surface Methodology (RSM). The optimal conditions for the maximum biomass yield expressed as dry cell weight (DCW) (16.57±0.55 g DCW.L−1) were as follows: glucose concentration of 39.37 mM, asparagine concentration of 62.68 mM and phosphate concentration of 14.80 mM. For this model, the predicted values for the responses are close to the experimental values. The yield of desired pET15b-neu plasmid from E. coli cells cultivated in optimized propagation medium was almost 23 % higher than in commonly used Luria-Bertani (LB) medium suggesting that asparagine may be involved in the induction of plasmid amplification.

show abstract

Section: Selection Of Independent Variables For Optimizationmentioning

confidence: 89%

Section: Selection Of Independent Variables For Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation