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用于在固体基质上进行机器学习辅助病原基因组检测的CRISPR响应式可重新编程无标记荧光纳米簇

CRISPR-Responsive Reprogrammable Label-Free Fluorescent Nanoclusters for ML-Assisted Pathogenic Genome Detection on Solid Substrates.

作者信息

Hanson Emmett, Kalla Nabeel, Tharu Ram Jeevan, Demir Mikail M, Tok Betul H, Canbaz M Abdullah, Yigit Mehmet V

机构信息

Department of Chemistry, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY, 12222, USA.

Department of Information Sciences and Technology, AI in Complex Systems Laboratory, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY, 12222, USA.

出版信息

Small. 2025 Apr;21(15):e2500784. doi: 10.1002/smll.202500784. Epub 2025 Mar 4.

Abstract

The development of a paper-based genome detection assay using target-responsive DNA-templated silver nanoclusters (DFN-1) is presented. The reported nanoclusters exhibit intrinsic fluorescence, which is regulated by the cleavage of the DNA template surrounding the silver core. To enable the nanoclusters to respond to a specific genome, CRISPR-Cas12a is employed for highly specific and programmable digestion of the nanoclusters. Upon detection of the target, the DNA template is cleaved by the CRISPR-Cas12a complex, leading to a reduction in fluorescence. This assay successfully demonstrates for the detection of the Salmonella genome in the liquid phase and on 2 mm solid filter paper discs. By altering only the crRNA in the CRISPR complex, the assay is programmed to detect two different Salmonella serotypes. The selectivity of the assay is evaluated in DNA mixtures with and without the target genomic fragments. The assay also demonstrates the detection of as little as 33 copies of the full Salmonella genome by incorporating an isothermal amplification step. Furthermore, 60 unknown samples with different target content in standard 344 well plates are evaluated. The results are analyzed using custom-developed machine-learning algorithms, successfully detecting the presence of the target with 100% prediction accuracy.

摘要

本文介绍了一种基于纸张的基因组检测方法,该方法使用了靶标响应性DNA模板化银纳米簇(DFN-1)。报道的纳米簇具有固有荧光,其受到银核周围DNA模板切割的调控。为使纳米簇能够响应特定基因组,采用CRISPR-Cas12a对纳米簇进行高度特异性和可编程的消化。检测到靶标后,DNA模板被CRISPR-Cas12a复合物切割,导致荧光减弱。该方法成功地证明了可在液相和2毫米固体滤纸片上检测沙门氏菌基因组。通过仅改变CRISPR复合物中的crRNA,该方法可被编程用于检测两种不同的沙门氏菌血清型。在含有和不含有靶标基因组片段的DNA混合物中评估了该方法的选择性。该方法还通过纳入等温扩增步骤,证明了可检测低至33个完整沙门氏菌基因组拷贝。此外,对标准344孔板中60个具有不同靶标含量的未知样品进行了评估。使用定制开发的机器学习算法对结果进行分析,成功以100%的预测准确率检测到靶标的存在。

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