基于上转换发光的直接杂交测定法检测血浆中的亚母摩尔 miR-20a DNA 类似物

IF 3.4 Q2 CHEMISTRY, ANALYTICAL
Saara Kuusinen, Satu Lahtinen, Tero Soukka
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引用次数: 0

摘要

微小核糖核酸(miRNA)是很有前途的生物标志物,尤其是在早期癌症诊断方面,但基于 miRNA 的诊断测试的实施仍然受到目前分析方法局限性的阻碍。miRNA 体积小、在生物流体中浓度低、序列同源性高,这些都是检测方法开发所面临的挑战。目前,大多数灵敏的检测方法都依赖于酶扩增步骤,这使分析变得复杂,并可能导致定量出现偏差。因此,人们越来越需要开发灵敏、特异且操作简便的无酶检测方法。本研究开发了一种简单的直接杂交检测 miR-20a DNA 类似物的方法。该检测方法基于上转换纳米粒子标签和发夹结构探针,前者可实现超灵敏检测,后者则可通过碱基堆叠提供额外的杂交稳定性。检测限为 0.73 fM,血浆回收率在 76% 至 111% 之间,这表明该测定可用于直接检测复杂样品基质中的 miRNA,而无需分离 RNA。由于无扩增方法简便、灵敏度高,该测定在基于 miRNA 的临床应用中具有巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Upconversion Luminescence Based Direct Hybridization Assay to Detect Subfemtomolar miR-20 a DNA Analogue in Plasma

Upconversion Luminescence Based Direct Hybridization Assay to Detect Subfemtomolar miR-20 a DNA Analogue in Plasma

MicroRNAs (miRNAs) are promising biomarkers especially for early-stage cancer diagnostics, but the implementation of miRNA-based diagnostic tests is still hindered by the limitations of current analytical methods. The small size, low concentrations in biofluids and high sequence homology of miRNAs are challenges for assay development. Currently, most of the sensitive detection methods rely on enzymatic amplification steps, which complicate the analysis and can lead to biases in quantitation. Therefore, there is an increasing need to develop enzyme-free detection methods that are sensitive, specific and user-friendly. In this study, a simple direct hybridization assay for the DNA analogue of miR-20a was developed. The assay is based on upconverting nanoparticle labels, which enable ultrasensitive detection, and hairpin structured probes, which provide additional hybridization stability due to base stacking. The limit of detection was 0.73 fM with plasma recoveries between 76 % and 111 %, demonstrating that the assay could be used for direct detection of miRNAs from complex sample matrices without isolation of RNA. Due to the simplicity and the excellent sensitivity for an amplification-free method, the assay has a great potential for miRNA-based clinical applications.

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CiteScore
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