Yanxue Wei, Yueli Hu, Chengchao Zhang, Rui Liu, Yi Lv
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引用次数: 0
摘要
通过 DNA 的自组装或与磁珠和金属纳米粒子等其他材料的结合,DNA 步进机在生物传感、生物成像和早期癌症诊断等领域取得了重大突破。然而,目前的 DNA 步进机策略一直面临着分析灵敏度不足的挑战,而复杂的信号放大程序往往又是必不可少的。单颗粒电感耦合等离子体质谱法(SP-ICPMS)具有极高的灵敏度,由于纳米颗粒中含有大量金属原子,且单个纳米颗粒检测具有聚光效应,因此能有效区分背景噪声和检测到的信号。在这项研究中,我们提出了一种新方法,利用单纳米粒子计数和双工特异性核酸酶(DSN)辅助信号放大来构建三维 DNA 步行机,用于检测侵袭性前列腺癌(PCa)生物标记物 miRNA-200c。所提出的策略提高了灵敏度,检测限 (LOD) 为 0.93 pM(28 amol),并成功应用于人类血清样本。据我们所知,这是第一份关于 DNA 步行机与单纳米粒子计数研究的报告。
Single Particle Analysis-Enhanced DNA Walking Machine for Sensitive miRNA Detection
DNA walking machines have achieved significant breakthroughs in areas such as biosensing, bioimaging, and early cancer diagnosis, facilitated by the self-assembly of DNA or its combination with other materials, such as magnetic beads and metal nanoparticles. However, current DNA walking machine strategies are constantly challenged by inadequate analytical sensitivity, while sophisticated signal amplification procedures are often indispensable. Single-particle inductively coupled plasma mass spectrometry (SP-ICPMS) provides superior sensitivity and can effectively discriminate between background noise and detected signals due to the large number of metal atoms in a nanoparticle and the concentrating effect of single nanoparticle detection. In this study, we present a novel approach utilizing single nanoparticle counting and duplex-specific nuclease (DSN)-assisted signal amplification to construct a 3D DNA walking machine for detecting the aggressive prostate cancer (PCa) biomarker miRNA-200c. The proposed strategy showed an improvement in sensitivity with a detection limit (LOD) of 0.93 pM (28 amol) and was successfully applied in human serum samples. To the best of our knowledge, this is the first report of the DNA walking machine with single nanoparticle counting study.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.