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CoID-LAMP:用于多重核酸定量的颜色编码智能数字LAMP

CoID-LAMP: Color-Encoded, Intelligent Digital LAMP for Multiplex Nucleic Acid Quantification.

作者信息

Wu Kai, Fang Qi, Zhao Zhantao, Li Zida

机构信息

Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen 518060, China.

Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Department of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen 518060, China.

出版信息

Anal Chem. 2023 Mar 21;95(11):5069-5078. doi: 10.1021/acs.analchem.2c05665. Epub 2023 Mar 9.

Abstract

Multiplex, digital nucleic acid tests have important biomedical applications, but existing methods mostly use fluorescent probes that are target-specific and difficult to optimize, limiting their widespread applications. Here, we report color-encoded, intelligent digital loop-mediated isothermal amplification (CoID-LAMP) for the coidentification of multiple nucleic acid targets. CoID-LAMP supplements different primer solutions with different dyes, generates primer droplets and sample droplets, and collectively pairs these two types of droplets in a microwell array device to perform LAMP. After imaging, the droplet colors were analyzed to decode the primer information, and the precipitate byproducts within droplets were detected to determine the target occupancy and calculate the concentrations. We first established an image analysis pipeline based on a deep learning algorithm for reliable droplet detection and validated the analytical performance in nucleic acid quantification. We then implemented CoID-LAMP using fluorescent dyes as the coding materials and established an 8-plex digital nucleic acid assay, confirming the reliable coding performance and the capability of multiplex nucleic acid quantification. We further implemented CoID-LAMP using brightfield dyes for a 4-plex assay, suggesting that the assay could be realized solely by brightfield imaging with minimal demand on the optics. Leveraging the advantages of droplet microfluidics in multiplexing and deep learning in intelligent image analysis, CoID-LAMP offers a useful tool for multiplex nucleic acid quantification.

摘要

多重数字核酸检测具有重要的生物医学应用,但现有方法大多使用针对特定靶点的荧光探针,且难以优化,限制了其广泛应用。在此,我们报告了用于多重核酸靶点共鉴定的颜色编码智能数字环介导等温扩增技术(CoID-LAMP)。CoID-LAMP用不同染料补充不同引物溶液,生成引物液滴和样品液滴,并在微孔阵列装置中将这两种类型的液滴共同配对以进行LAMP反应。成像后,分析液滴颜色以解码引物信息,并检测液滴内的沉淀副产物以确定靶点占有率并计算浓度。我们首先基于深度学习算法建立了一个图像分析流程,用于可靠的液滴检测,并验证了其在核酸定量分析中的性能。然后,我们使用荧光染料作为编码材料实施了CoID-LAMP,并建立了一个8重数字核酸检测方法,证实了其可靠的编码性能和多重核酸定量能力。我们进一步使用明场染料实施CoID-LAMP进行4重检测,表明该检测仅通过明场成像即可实现,对光学设备要求极低。利用液滴微流控在多重分析方面的优势以及深度学习在智能图像分析方面的优势,CoID-LAMP为多重核酸定量提供了一个有用的工具。

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