Document Type
Article
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
1.1 MATHEMATICS, Bioinformatics, 1.3 PHYSICAL SCIENCES, 1.4 CHEMICAL SCIENCES, 1.5 EARTH AND RELATED ENVIRONMENTAL SCIENCES, 1.6 BIOLOGICAL SCIENCES
Abstract
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 examines the application of DoE in the production of recombinant proteins in prokaryotic expression systems with specific emphasis on media composition and culture conditions. The review examines the most commonly used DoE screening and optimisation designs. It provides examples of DoE applied to optimisation of media and culture conditions.
DOI
https://doi.org/10.3390/bioengineering5040089
Recommended Citation
Uhoraningoga, A., Kinsella, G., Henehan, G. and Ryan, B. (2018) The Goldilocks Approach: A Review of Employing Design of Experiments in Prokaryotic Recombinant Protein Production. Bioengineering 2018, 5, 89; doi:10.3390/bioengineering5040089
Funder
Technological University Dublin
Included in
Biochemistry, Biophysics, and Structural Biology Commons, Bioinformatics Commons, Biology Commons, Pharmacology, Toxicology and Environmental Health Commons, Physical Sciences and Mathematics Commons
Publication Details
Bioengineering 2018, 5, 89;