Molecular Biology, Cell Biology & Biochemistry Program, Boston University, Boston, MA, USA; Biological Design Center, Boston University, Boston, MA, USA.
Department of Biomedical Engineering, Boston University, Boston, MA, USA; Biological Design Center, Boston University, Boston, MA, USA.
Curr Opin Biotechnol. 2019 Jun;57:10-16. doi: 10.1016/j.copbio.2018.08.013. Epub 2018 Sep 24.
Individual cells within a population can display diverse phenotypes due to differences in their local environment, genetic variation, and stochastic expression of genes. Understanding this cell-to-cell variation is important for metabolic engineering applications because variability can impact production. For instance, recent studies have shown that production can be highly heterogeneous among engineered cells, and strategies that manage this diversity improve yields of biosynthetic products. These results suggest the potential of controlling variation as a novel approach towards improving performance of engineered cells. In this review, we focus on identifying the origins of cell-to-cell variation in metabolic engineering applications and discuss recent developments on strategies that can be employed to diminish, accept, or even exploit cell-to-cell variation.
由于局部环境、遗传变异和基因随机表达的不同,群体中的单个细胞可能表现出不同的表型。理解这种细胞间的变异性对于代谢工程应用很重要,因为变异性会影响生产。例如,最近的研究表明,工程细胞的生产可能存在高度异质性,而管理这种多样性的策略可以提高生物合成产物的产量。这些结果表明,作为一种提高工程细胞性能的新方法,控制变异性具有潜力。在这篇综述中,我们重点研究了代谢工程应用中细胞间变异性的起源,并讨论了可以用来减少、接受甚至利用细胞间变异性的最新策略。