利用实验设计指导工程代谢途径的遗传优化。
Using design of experiments to guide genetic optimization of engineered metabolic pathways.
机构信息
Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, St Paul, MN 55108, USA.
Biotechnology Institute, University of Minnesota, St Paul, MN 55108, USA.
出版信息
J Ind Microbiol Biotechnol. 2024 Jan 9;51. doi: 10.1093/jimb/kuae010.
UNLABELLED
Design of experiments (DoE) is a term used to describe the application of statistical approaches to interrogate the impact of many variables on the performance of a multivariate system. It is commonly used for process optimization in fields such as chemical engineering and material science. Recent advances in the ability to quantitatively control the expression of genes in biological systems open up the possibility to apply DoE for genetic optimization. In this review targeted to genetic and metabolic engineers, we introduce several approaches in DoE at a high level and describe instances wherein these were applied to interrogate or optimize engineered genetic systems. We discuss the challenges of applying DoE and propose strategies to mitigate these challenges.
ONE-SENTENCE SUMMARY: This is a review of literature related to applying Design of Experiments for genetic optimization.
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实验设计（DoE）是一个术语，用于描述统计方法在多变量系统性能上对多个变量的影响进行研究。它通常用于化学工程和材料科学等领域的工艺优化。最近在定量控制生物系统中基因表达的能力方面取得了进展，为遗传优化应用 DoE 开辟了可能性。在这个面向遗传和代谢工程师的综述中，我们在较高的层次上介绍了 DoE 的几种方法，并描述了这些方法在用于研究或优化工程遗传系统的实例。我们讨论了应用 DoE 的挑战，并提出了缓解这些挑战的策略。
一句话总结
这是一篇关于应用实验设计进行遗传优化的文献综述。
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