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无细胞生物传感器的半自动生产

Semiautomated Production of Cell-Free Biosensors.

作者信息

Brown Dylan M, Phillips Daniel A, Garcia David C, Arce Anibal, Lucci Tyler, Davies John P, Mangini Jacob T, Rhea Katherine A, Bernhards Casey B, Biondo John R, Blum Steven M, Cole Stephanie D, Lee Jennifer A, Lee Marilyn S, McDonald Nathan D, Wang Brenda, Perdue Dale L, Bower Xavier S, Thavarajah Walter, Karim Ashty S, Lux Matthew W, Jewett Michael C, Miklos Aleksandr E, Lucks Julius B

机构信息

Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, United States.

Center for Synthetic Biology, Northwestern University, Evanston, Illinois 60208, United States.

出版信息

ACS Synth Biol. 2025 Mar 21;14(3):979-986. doi: 10.1021/acssynbio.4c00703. Epub 2025 Mar 12.

DOI:10.1021/acssynbio.4c00703
PMID:40073441
Abstract

Cell-free synthetic biology biosensors have potential as effective diagnostic technologies for the detection of chemical compounds, such as toxins and human health biomarkers. They have several advantages over conventional laboratory-based diagnostic approaches, including the ability to be assembled, freeze-dried, distributed, and then used at the point of need. This makes them an attractive platform for cheap and rapid chemical detection across the globe. Though promising, a major challenge is scaling up biosensor manufacturing to meet the needs of their multiple uses. Currently, cell-free biosensor assembly during lab-scale development is mostly performed manually by the operator, leading to quality control and performance variability issues. Here we explore the use of liquid-handling robotics to manufacture cell-free biosensor reactions. We compare both manual and semiautomated reaction assembly approaches using the Opentrons OT-2 liquid handling platform on two different cell-free gene expression assay systems that constitutively produce colorimetric (LacZ) or fluorescent (GFP) signals. We test the designed protocol by constructing an entire 384-well plate of fluoride-sensing cell-free biosensors and demonstrate that they perform close to expected detection outcomes.

摘要

无细胞合成生物学生物传感器有潜力成为检测毒素和人类健康生物标志物等化合物的有效诊断技术。与传统的基于实验室的诊断方法相比,它们具有几个优势,包括能够进行组装、冻干、分发,然后在需要时使用。这使它们成为全球范围内用于廉价快速化学检测的有吸引力的平台。尽管前景广阔,但一个主要挑战是扩大生物传感器的制造规模以满足其多种用途的需求。目前,实验室规模开发过程中的无细胞生物传感器组装大多由操作人员手动完成,这导致了质量控制和性能变异性问题。在这里,我们探索使用液体处理机器人来制造无细胞生物传感器反应。我们在两个不同的组成型产生比色(LacZ)或荧光(GFP)信号的无细胞基因表达检测系统上,使用Opentrons OT-2液体处理平台比较了手动和半自动反应组装方法。我们通过构建一整板384孔的氟化物传感无细胞生物传感器来测试设计的方案,并证明它们的性能接近预期的检测结果。

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