This item is available under a Creative Commons License for non-commercial use only
Probability, Bioinformatics, 1.6 BIOLOGICAL SCIENCES
The production of high yields of soluble recombinant protein is one of the main objectives of protein biotechnology. Several factors, such as expression system, vector, host, media composition and induction conditions can influence recombinant protein yield. Identifying the most important factors for optimum protein expression may involve significant investment of time and considerable cost. To address this problem statistical models, such as Design of Experiments (DoE), have been used to optimise recombinant protein production. This review explores the application of DoE in the production of recombinant proteins, focusing on prokaryotic expression systems with a specific emphasis on media composition and culture conditions. The review examines the most commonly used DoE screening and optimisation methods, including factorial and screening designs. It provides examples of DoE informed media optimisation and culture condition optimisation. The review concludes with a consideration of the benefits of the application of DoE in recombinant protein production.
Uhoraningoga, A., Kinsella, G., Henehan, G., & Ryan, B. (2018). The Goldilocks Approach: A Review of Employing Design of Experiments in Prokaryotic Recombinant Protein Production. Bioengineering, 5(4), 89-116. DOI : 10.3390/bioengineering5040089