Filter-Assisted ICP-MS Tumor Liquid Biopsy Enabled by Dual-Target-Regulated Functional DNA Nanospheres Cascade Amplification.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Yiman Wu, Yue Wang, Li Yan, Ke Huang, Kai Chang, Piaopiao Chen
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引用次数: 0

Abstract

An ultrasensitive ICP-MS aptasensor is developed utilizing a label-free, simple filter membrane-assisted separation technique combined with nucleic acid signal amplification for the analysis of circulating tumor cells (CTCs) in lung cancer clinical samples. The approach is based on the high-affinity interaction between aptamers and PD-L1 and mucin 1, which are overexpressed on the cell surface, in conjunction with functional Y-DNA nanospheres and catalytic hairpin assembly amplifications, enabling the simultaneous detection of two proteins. Additionally, a four-armed nanostructure with significant spatial site resistance is self-assembled by introducing streptavidin with biotinylated-hairpin structures, improving the separation efficiency of the filter membrane. This structural design enables the effective isolation of biotin-T-Hg2+-T and biotin-C-Ag+-C from free Hg2+ and Ag+, facilitating highly sensitive dual-protein detection via ICP-MS. The limits of detection reached ag mL-1 levels for proteins and single-cell levels for A549 cells. CTCs are extracted from whole blood samples of lung cancer patients within 45 min through a simple centrifugation procedure. Quantification of CTCs is performed in 37 clinical samples, demonstrating results consistent with clinical diagnoses. The assay exhibits a specificity of 100% and a sensitivity of 94.5%.

双靶标调控的功能DNA纳米球级联扩增实现过滤器辅助ICP-MS肿瘤液体活检。
利用无标记、简单的过滤膜辅助分离技术结合核酸信号扩增技术,开发了一种超灵敏的ICP-MS适体传感器,用于分析肺癌临床样本中的循环肿瘤细胞(ctc)。该方法基于适配体与细胞表面过表达的PD-L1和粘蛋白1之间的高亲和力相互作用,结合功能性Y-DNA纳米球和催化发夹组装扩增,能够同时检测两种蛋白质。此外,通过引入具有生物素化发夹结构的链霉亲和素,自组装了具有显著空间位点抗性的四臂纳米结构,提高了过滤膜的分离效率。这种结构设计可以有效地从游离的Hg2+和Ag+中分离生物素-T-Hg2+-T和生物素-C-Ag+-C,从而实现高灵敏度的ICP-MS双蛋白检测。蛋白的检出限达到ag mL-1, A549细胞的检出限达到单细胞水平。通过简单的离心程序,在45分钟内从肺癌患者的全血样本中提取ctc。在37个临床样本中进行了ctc的量化,结果与临床诊断一致。该方法特异性为100%,灵敏度为94.5%。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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