Uhoraningoga Albert, Kinsella Gemma K, Henehan Gary T, Ryan Barry J
Dublin Institute of Technology, Dublin D01 HV58, Ireland.
Bioengineering (Basel). 2018 Oct 19;5(4):89. doi: 10.3390/bioengineering5040089.
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.
高产可溶性重组蛋白的生产是蛋白质生物技术的主要目标之一。几个因素，如表达系统、载体、宿主、培养基组成和诱导条件，都会影响重组蛋白的产量。确定实现最佳蛋白质表达的最重要因素可能需要投入大量时间和相当高的成本。为了解决这个问题，诸如实验设计（DoE）等统计模型已被用于优化重组蛋白的生产。本综述考察了实验设计在原核表达系统中重组蛋白生产中的应用，特别强调了培养基组成和培养条件。该综述考察了最常用的实验设计筛选和优化设计。它提供了实验设计应用于优化培养基和培养条件的实例。
