journal article·2021-11-03

Ultrasensitive Dual-Signal Detection of Telomerase and MiR-21 Based on Boolean Logic Operations

Jiaju Shi, Meiqi Shen, Wenjie Zhao, Jinhua Liu, Zongjin Qu, Mengting Zhu, Zichao Chen, Pengfei Shi, Zhen Zhang, Shu-Sheng Zhang

ACS Applied Materials & Interfaces· Volume 13· Issue 43
Publisher page

Abstract

Telomerase and micro-RNAs (miRNAs) are simultaneously upregulated in a variety of tumor cells and have emerged as promising tumor markers. However, sensitive detection of telomerase and miRNAs in situ remains a great challenge due to their low expression levels. Here, we designed a Boolean logic "AND" signal amplification strategy based on functionalized ordered mesoporous nanoparticles (FOMNs) to achieve ultrasensitive detection of telomerase and miR-21 in living tumor cells. Briefly, the strategy uses telomerase as an input to enable the release of DNA3-ROX-BHQ hairpins by making the wrapping DNA1 form a DNA-a hairpin with the joint participation of dNTPs. Subsequently, DNA2-Ag, DNA3-ROX-BHQ, and the second input miR-21 participated in hybridization chain reaction to amplify fluorescence and Raman signals. Experimental results showed the intensity of output dual signals relevant to the expression levels of telomerase and miR-21. The Ag nanoparticles (AgNPs) not only enhanced the fluorescence signals but also allowed to obtain more sensitive Raman signals. Therefore, even if expression of tumor markers is at a low level, the FOMN-based dual-signal logic operation strategy can still achieve sensitive detection of telomerase and miR-21 in situ. Furthermore, FOMNs can detect miR-21 expression levels in a short time. Consequently, this strategy has a potential clinical application value in detection of tumor markers and the assessment of tumor treatment efficacy.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · RNA Interference and Gene Delivery · MicroRNA in disease regulation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Shandong Province Key Laboratory of Detection Technology for Tumor Markers, College of Chemistry and Chemical Engineering, Linyi University, Linyi 276000, P. R. China

Innovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China

Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan 250355, China

Funding

Shandong Province · State Key Laboratory of Chemo/Biosensing and Chemometrics · Major Scientific and Technological Innovation Project of Shandong Province · National Natural Science Foundation of China · Foundation of Innovative Research Teams of Accurate Disease Identification and Targeted Therapy

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