Semiautomated Production of Cell-Free Biosensors.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2025-03-12 DOI:10.1021/acssynbio.4c00703
Dylan M Brown, Daniel A Phillips, David C Garcia, Anibal Arce, Tyler Lucci, John P Davies, Jacob T Mangini, Katherine A Rhea, Casey B Bernhards, John R Biondo, Steven M Blum, Stephanie D Cole, Jennifer A Lee, Marilyn S Lee, Nathan D McDonald, Brenda Wang, Dale L Perdue, Xavier S Bower, Walter Thavarajah, Ashty S Karim, Matthew W Lux, Michael C Jewett, Aleksandr E Miklos, Julius B Lucks
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引用次数: 0

Abstract

Cell-free synthetic biology biosensors have potential as effective in vitro 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.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
期刊最新文献
Semiautomated Production of Cell-Free Biosensors. Synthetic Biology Strategies for the Production of Natural Colorants and Their Non-Natural Derivatives. Engineering Chromatin Regulation of Xylose Utilization in Budding Yeast Saccharomyces cerevisiae for Efficient Bioconversion. Cell-Free Expression of Soluble Leafhopper Proteins from Brochosomes. Nanobody-Based Lateral Flow Assay for Rapid Zika Virus Detection.
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