2021
DOI: 10.1007/s00604-021-05051-1
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A simple “signal off–on” fluorescence nanoplatform for the label-free quantification of exosome-derived microRNA-21 in lung cancer plasma

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Cited by 11 publications
(3 citation statements)
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“…21 FRET sensors coupled with MoS 2 nanosheets have been combined with hybridization chain reaction amplification to detect exosomal miRNA-21 in the plasma of patients with lung cancer (LOD: 6 pM). 22 Hierarchical MoS 2 nanostructuring and silicon dioxide nanosignal amplification-based FRET nanoprobes were combined with catalytic hairpin assembly (CHA) technology for miRNA detection in circulating tumor cells (CTCs) with an LOD of 300 pM, which demonstrated the advances in FRET nanosensors for in situ miRNA detection in liquid biopsy 23 (Fig. 1c).…”
Section: Optical Nanobiosensors Applied In Liquid Biopsymentioning
confidence: 99%
“…21 FRET sensors coupled with MoS 2 nanosheets have been combined with hybridization chain reaction amplification to detect exosomal miRNA-21 in the plasma of patients with lung cancer (LOD: 6 pM). 22 Hierarchical MoS 2 nanostructuring and silicon dioxide nanosignal amplification-based FRET nanoprobes were combined with catalytic hairpin assembly (CHA) technology for miRNA detection in circulating tumor cells (CTCs) with an LOD of 300 pM, which demonstrated the advances in FRET nanosensors for in situ miRNA detection in liquid biopsy 23 (Fig. 1c).…”
Section: Optical Nanobiosensors Applied In Liquid Biopsymentioning
confidence: 99%
“…It has an outstanding fluorescence-quenching feature and the absorbability of single-stranded nucleic acid [9] [10]. At present, a large number of studies have applied this feature to the detection of small molecules such as miRNA [11] and DNA [12] as well as the biological analysis of large molecules such as carcinoembryonic antigen, prostate specific antigen [13], and cardiac troponin T [14]. Such applications are conducive to the development of basic research in life science and the reform of medical clinical detection technology.…”
Section: Introductionmentioning
confidence: 99%
“…For example, breast tumor has at least three subtypes classified according to the tumor cell molecular profiles. The surface proteins of exosomes are specific and can reflect the physiological information on the parental cells. , A variety of exosomal proteins have been used to identify the tumor origins or subtypes, as well as distinguish between indolent and high-risk lesions. However, highly accurate technologies for profiling and classifying the phenotype of cancers based on exosomal-specific proteins are still lacking.…”
mentioning
confidence: 99%