Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Optimization of Fermentation Conditions for Reteplase Expression by Escherichia Coli Using Response Surface Methodology



Zare H1 ; Sadeghi HMM1 ; Akbari V1
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Pharmaceutical Biotechnology and Isfahan Pharmaceutical Research Center, Faculty of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Avicenna Journal of Medical Biotechnology Published:2019

Abstract

Background: Expression of heterologous proteins at large scale is often a challenging job due to plasmid instability, accumulation of acetate and oxidative damage in bio-reactors. Therefore, it is necessary to optimize parameters influencing cell growth and expression of recombinant protein. Methods: In the present study, the optimal culture conditions for expression of retep-lase by Escherichia coli (E. coli) BL21 (DE3) in a bench-top bioreactor was determined. Response Surface Methodology (RSM) based on Box-Behnken design was used to evaluate the effect of three variables (i.e., temperature, shaking speed and pH) and their interactions with cellular growth and protein production. The obtained data were analyzed by Design Expert software. Results: Based on results of 15 experiments, a response surface quadratic model was developed which was used to explain the relation between production of reteplase and three investigated variables. The high value of R-Squared (0.9894) and F-value of 51.99 confirmed the accuracy of this model. According to the developed model, the optimum fermentation conditions for reteplase expression were temperature of 32°C, shaking speed of 210 rpm, and pH of 8.4. This predicted condition was applied for the production of reteplase in the bioreactor leading to a protein yield of 188 mg/l. Conclusion: Our results indicate the significant role of culture conditions (e.g., pH, temperature and oxygen supply) in protein expression at large scale and confirm the need for optimization. The proposed strategy here can also be applied to experimental set-up of optimization for fermentation of other proteins. © 2019, Avicenna Journal of Medical Biotechnology. All rights reserved.
Other Related Docs
13. Cloning and Expression of Functional Reteplase in Escherichia Coli Top10, Avicenna Journal of Medical Biotechnology (2013)
23. Optimization of the Expression of Reteplase in Escherichia Coli, Research in Pharmaceutical Sciences (2011)