The Goldilocks Approach: A Review of Employing Design of Experiments in Prokaryotic Recombinant Protein Production
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 fo...
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MDPI AG
2018-10-01
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| Series: | Bioengineering |
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| Online Access: | http://www.mdpi.com/2306-5354/5/4/89 |
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doaj-a97cdb26fddb4504957775aae34ab49b2020-11-25T00:23:59ZengMDPI AGBioengineering2306-53542018-10-01548910.3390/bioengineering5040089bioengineering5040089The Goldilocks Approach: A Review of Employing Design of Experiments in Prokaryotic Recombinant Protein ProductionAlbert Uhoraningoga0Gemma K. Kinsella1Gary T. Henehan2Barry J. Ryan3Dublin Institute of Technology, Dublin D01 HV58, IrelandDublin Institute of Technology, Dublin D01 HV58, IrelandDublin Institute of Technology, Dublin D01 HV58, IrelandDublin Institute of Technology, Dublin D01 HV58, IrelandThe 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.http://www.mdpi.com/2306-5354/5/4/89recombinant protein productiondesign of experimentsscreening designresponse surface methodologyprocess optimization |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Albert Uhoraningoga Gemma K. Kinsella Gary T. Henehan Barry J. Ryan |
| spellingShingle |
Albert Uhoraningoga Gemma K. Kinsella Gary T. Henehan Barry J. Ryan The Goldilocks Approach: A Review of Employing Design of Experiments in Prokaryotic Recombinant Protein Production Bioengineering recombinant protein production design of experiments screening design response surface methodology process optimization |
| author_facet |
Albert Uhoraningoga Gemma K. Kinsella Gary T. Henehan Barry J. Ryan |
| author_sort |
Albert Uhoraningoga |
| title |
The Goldilocks Approach: A Review of Employing Design of Experiments in Prokaryotic Recombinant Protein Production |
| title_short |
The Goldilocks Approach: A Review of Employing Design of Experiments in Prokaryotic Recombinant Protein Production |
| title_full |
The Goldilocks Approach: A Review of Employing Design of Experiments in Prokaryotic Recombinant Protein Production |
| title_fullStr |
The Goldilocks Approach: A Review of Employing Design of Experiments in Prokaryotic Recombinant Protein Production |
| title_full_unstemmed |
The Goldilocks Approach: A Review of Employing Design of Experiments in Prokaryotic Recombinant Protein Production |
| title_sort |
goldilocks approach: a review of employing design of experiments in prokaryotic recombinant protein production |
| publisher |
MDPI AG |
| series |
Bioengineering |
| issn |
2306-5354 |
| publishDate |
2018-10-01 |
| description |
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. |
| topic |
recombinant protein production design of experiments screening design response surface methodology process optimization |
| url |
http://www.mdpi.com/2306-5354/5/4/89 |
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