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流式细胞术用于细菌:促进代谢工程、合成生物学和复杂表型的阐明。

Flow cytometry for bacteria: enabling metabolic engineering, synthetic biology and the elucidation of complex phenotypes.

机构信息

Elcriton, Inc., Delaware Biotechnology Institute, Rm 288, 15 Innovation Way, Newark, DE 19711, USA.

出版信息

Curr Opin Biotechnol. 2010 Feb;21(1):85-99. doi: 10.1016/j.copbio.2010.02.006. Epub 2010 Mar 5.

Abstract

Flow cytometry (FC) and FC-based cell sorting have been established as critical tools in modern cell and developmental biology. Yet, their applications in bacteria, especially in the multiparametric mode, remain limited. We argue that FC technologies have the potential to greatly accelerate the analysis and development of microbial complex phenotypes through applications of metabolic engineering, synthetic biology, and evolutionary engineering. We demonstrate the importance of FC for elucidating population heterogeneity because of developmental processes or epigenetic regulation. FC can be engaged for both synthetic and analytical applications of complex phenotypes within a single species, multispecies, and microbial-library populations. Examples include methods to identify developmental microbial stages associated with productive metabolic phenotypes, select desirable promoters from a single species or metagenomic libraries, and to screen designer riboswitches for synthetic-biology applications.

摘要

流式细胞术(FC)和基于 FC 的细胞分选已成为现代细胞和发育生物学的重要工具。然而,它们在细菌中的应用,特别是在多参数模式下,仍然有限。我们认为,FC 技术有可能通过代谢工程、合成生物学和进化工程的应用,极大地加速微生物复杂表型的分析和开发。我们证明了 FC 在阐明由于发育过程或表观遗传调控而导致的群体异质性方面的重要性。FC 可用于在单个物种、多物种和微生物文库群体中对复杂表型进行合成和分析应用。示例包括识别与生产性代谢表型相关的发育微生物阶段的方法、从单个物种或宏基因组文库中选择理想启动子,以及筛选用于合成生物学应用的设计型核糖开关。

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