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用于基于液滴的微流控筛选的光开关荧光蛋白的应用。

Use of photoswitchable fluorescent proteins for droplet-based microfluidic screening.

作者信息

Dagkesamanskaya Adilya, Langer Krzysztof, Tauzin Alexandra S, Rouzeau Catherine, Lestrade Delphine, Potocki-Veronese Gabrielle, Boitard Laurent, Bibette Jérôme, Baudry Jean, Pompon Denis, Anton-Leberre Véronique

机构信息

LISBP, Université de Toulouse, CNRS, INRA, INSA, Toulouse, France.

Laboratoire Colloïdes et Matériaux Divisés, the Institute of Chemistry, Biology and Innovation (CBI) - ESPCI ParisTech, CNRS - UMR 8231, PSL* Research University, 10 rue Vauquelin, 75005 Paris, France.

出版信息

J Microbiol Methods. 2018 Apr;147:59-65. doi: 10.1016/j.mimet.2018.03.001. Epub 2018 Mar 6.

Abstract

Application of droplet-based microfluidics for the screening of microbial libraries is one of the important ongoing developments in functional genomics/metagenomics. In this article, we propose a new method that can be employed for high-throughput profiling of cell growth. It consists of light-driven labelling droplets that contain growing cells directly in a microfluidics observation chamber, followed by recovery of the labelled cells. This method is based on intracellular expression of green-to-red switchable fluorescent proteins. The proof of concept is established here for two commonly used biological models, E. coli and S. cerevisiae. Growth of cells in droplets was monitored under a microscope and, depending on the targeted phenotype, the fluorescence of selected droplets was switched from a "green" to a "red" state. Red fluorescent cells from labelled droplets were then successfully detected, sorted with the Fluorescence Activated Cell Sorting machine and recovered. Finally, the application of this method for different kind of screenings, in particular of metagenomic libraries, is discussed and this idea is validated by the analysis of a model mini-library.

摘要

基于液滴的微流控技术在微生物文库筛选中的应用是功能基因组学/宏基因组学领域当前重要的发展方向之一。在本文中,我们提出了一种可用于细胞生长高通量分析的新方法。该方法包括在微流控观察室中通过光驱动标记含有正在生长细胞的液滴,随后回收标记细胞。此方法基于绿色到红色可切换荧光蛋白的细胞内表达。本文针对两种常用生物模型大肠杆菌和酿酒酵母建立了概念验证。在显微镜下监测液滴中细胞的生长情况,并根据目标表型,将选定液滴的荧光从“绿色”切换到“红色”状态。然后成功检测到来自标记液滴的红色荧光细胞,用荧光激活细胞分选仪进行分选并回收。最后,讨论了该方法在不同类型筛选中的应用,特别是在宏基因组文库筛选中的应用,并通过对一个模型小型文库的分析验证了这一想法。

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