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被欺骗者取代:防止生物传感器串扰是基于生物传感器的成功高通量筛选活动的关键。

Displaced by Deceivers: Prevention of Biosensor Cross-Talk Is Pivotal for Successful Biosensor-Based High-Throughput Screening Campaigns.

作者信息

Flachbart Lion Konstantin, Sokolowsky Sascha, Marienhagen Jan

机构信息

Institute of Bio- and Geosciences, IBG-1: Biotechnology , Forschungszentrum Jülich , D-52425 Jülich , Germany.

Institute of Biotechnology , RWTH Aachen University , Worringer Weg 3 , D-52074 Aachen , Germany.

出版信息

ACS Synth Biol. 2019 Aug 16;8(8):1847-1857. doi: 10.1021/acssynbio.9b00149. Epub 2019 Jul 23.

Abstract

Transcriptional biosensors emerged as powerful tools for protein and strain engineering as they link inconspicuous production phenotypes to easily measurable output signals such as fluorescence. When combined with fluorescence-activated cell sorting, transcriptional biosensors enable high throughput screening of vast mutant libraries. Interestingly, even though many published manuscripts describe the construction and characterization of transcriptional biosensors, only very few studies report the successful application of transcriptional biosensors in such high-throughput screening campaigns. Here, we describe construction and characterization of the -cinnamic acid responsive transcriptional biosensor pSenCA for and its application in a FACS based screen. In this context, we focus on essential methodological challenges during the development of such biosensor-guided high-throughput screens such as biosensor cross-talk between producing and nonproducing cells, which could be minimized by optimization of expression and cultivation conditions. The optimized conditions were applied in a five-step FACS campaign and proved suitable to isolate phenylalanine ammonia lyase variants with improved activity in and . Findings from this study will help researchers who want to profit from the unmatched throughput of fluorescence-activated cell sorting by using transcriptional biosensors for their enzyme and strain engineering campaigns.

摘要

转录生物传感器作为蛋白质和菌株工程的强大工具应运而生,因为它们将不明显的生产表型与易于测量的输出信号(如荧光)联系起来。当与荧光激活细胞分选相结合时,转录生物传感器能够对大量突变文库进行高通量筛选。有趣的是,尽管许多已发表的手稿描述了转录生物传感器的构建和表征,但只有极少数研究报告了转录生物传感器在这种高通量筛选活动中的成功应用。在这里,我们描述了用于[具体对象]的肉桂酸响应型转录生物传感器pSenCA的构建和表征及其在基于荧光激活细胞分选的筛选中的应用。在此背景下,我们关注在开发这种生物传感器引导的高通量筛选过程中的关键方法挑战,例如生产细胞和非生产细胞之间的生物传感器串扰,这可以通过优化表达和培养条件来最小化。优化后的条件应用于五步荧光激活细胞分选活动,并证明适用于分离在[具体对象]中具有更高活性的苯丙氨酸解氨酶变体。这项研究的结果将帮助那些希望通过使用转录生物传感器进行酶和菌株工程活动,从荧光激活细胞分选无与伦比的通量中获益的研究人员。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6eea/6702586/ddc3b9e2bd80/sb-2019-00149t_0001.jpg

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