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无细胞阿特拉津生物传感器的设计与优化。

Design and Optimization of a Cell-Free Atrazine Biosensor.

机构信息

Interdisciplinary Biological Sciences Program, Northwestern University, Evanston, Illinois 60208, United States.

Center for Water Research, Northwestern University, Evanston, Illinois 60208, United States.

出版信息

ACS Synth Biol. 2020 Mar 20;9(3):671-677. doi: 10.1021/acssynbio.9b00388. Epub 2020 Mar 3.

Abstract

Recent advances in cell-free synthetic biology have spurred the development of molecular diagnostics that serve as effective alternatives to whole-cell biosensors. However, cell-free sensors for detecting manmade organic water contaminants such as pesticides are sparse, partially because few characterized natural biological sensors can directly detect such pollutants. Here, we present a platform for the cell-free detection of one critical water contaminant, atrazine, by combining a previously characterized cyanuric acid biosensor with a reconstituted atrazine-to-cyanuric acid metabolic pathway composed of several protein-enriched bacterial extracts mixed in a one pot reaction. Our cell-free sensor detects atrazine within an hour of incubation at an activation ratio superior to previously reported whole-cell atrazine sensors. We also show that the response characteristics of the atrazine sensor can be tuned by manipulating the ratios of enriched extracts in the cell-free reaction mixture. Our approach of utilizing multiple metabolic steps, encoded in protein-enriched cell-free extracts, to convert a target of interest into a molecule that can be sensed by a transcription factor is modular. Our work thus serves as an effective proof-of-concept for a scheme of "metabolic biosensing", which should enable rapid, field-deployable detection of complex organic water contaminants.

摘要

无细胞合成生物学的最新进展推动了分子诊断的发展,为替代全细胞生物传感器提供了有效手段。然而,用于检测人为有机水污染物(如农药)的无细胞传感器却很少,部分原因是很少有经过充分表征的天然生物传感器可以直接检测此类污染物。在这里,我们通过将先前表征的三聚氰胺生物传感器与由几种富含蛋白质的细菌提取物混合在一锅反应中的重组的莠去津至三聚氰胺代谢途径相结合,为检测一种关键的水污染物质莠去津提供了一个无细胞检测平台。我们的无细胞传感器在孵育一小时内即可检测到莠去津,其激活率优于之前报道的全细胞莠去津传感器。我们还表明,通过操纵无细胞反应混合物中富集提取物的比例,可以调整莠去津传感器的响应特性。我们利用富含蛋白质的无细胞提取物中编码的多个代谢步骤将目标物转化为可被转录因子感知的分子的方法是模块化的。因此,我们的工作为“代谢生物传感”方案提供了一个有效的概念验证,该方案应该能够实现复杂有机水污染物的快速、现场部署检测。

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