Self-Assembly Trigger Signal Amplification for MicroRNA Sensing in Living Cells with GSH-Cleavable Nanoprobes,Industrial & Engineering Chemistry Research

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Self-Assembly Trigger Signal Amplification for MicroRNA Sensing in Living Cells with GSH-Cleavable Nanoprobes
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2020-11-16 , DOI: 10.1021/acs.iecr.0c04074
Liman Xian ₁ , Haoying Ge ₁ , Ning Xu ₁ , Feng Xu ₁ , Qichao Yao ₁ , Jiangli Fan _{1,

2} , Saran Long ₁ , Xiaojun Peng _{1,

2}

Affiliation

Accurate sensing of endogenous microRNAs remains a great challenge for unsatisfactory signal-to-background ratios of traditional techniques. Meanwhile, low sensitivity and insufficient specificity limit the application of most detection methods. Herein, a newly designed GSH-cleavable nanoprobe with the capacity of signal amplification has been proposed for monitoring and imaging of low abundance intracellular miRNA both in a fluorescence assay and in living cells. In this work, endogenous glutathione (GSH) has been introduced to the construction of an miRNA recognizing system for realizing the cyclical process of target. The effective work of GSH makes the circulation of target miRNA possible through spontaneous biocleavage, leading to high detection efficiency and improved sensitivity of nanoprobes. Moreover, minimized false-positive signals and great decrement in environmental disturbance are obtained through ratiometric measurements. Besides, GSH-cleavable nanoprobes provide the enhanced fluorescence resonance energy transfer (FRET) signal between cancer cells and normal cells, which made the practical application in discrimination more reliable.

中文翻译：

具有GSH可裂解纳米探针的活细胞中MicroRNA传感的自组装触发信号扩增。

对于传统技术无法令人满意的信噪比，准确检测内源性microRNA仍然是一个巨大的挑战。同时，低灵敏度和特异性不足限制了大多数检测方法的应用。在此，已经提出了具有信号放大能力的新设计的GSH可裂解纳米探针，用于在荧光测定法和活细胞中监测和成像低丰度细胞内miRNA。在这项工作中，已将内源性谷胱甘肽（GSH）引入到miRNA识别系统的构建中，以实现靶标的循环过程。GSH的有效工作通过自发的生物切割使靶标miRNA的循环成为可能，从而提高了检测效率并提高了纳米探针的灵敏度。此外，通过比率测量获得了最小的假阳性信号，并大大减少了环境干扰。此外，GSH可裂解的纳米探针提供了增强的癌细胞和正常细胞之间的荧光共振能量转移（FRET）信号，这使得在鉴别方面的实际应用更加可靠。

更新日期：2020-11-25

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