| Literature DB >> 35312280 |
Kalani M Wijesinghe1, Mazhar A Kanak2, J Chuck Harrell3, Soma Dhakal1.
Abstract
MicroRNAs (miRNAs) play a crucial role in regulating gene expression and have been linked to many diseases. Therefore, sensitive and accurate detection of disease-linked miRNAs is vital to the emerging revolution in early diagnosis of diseases. While the detection of miRNAs is a challenge due to their intrinsic properties such as small size, high sequence similarity among miRNAs and low abundance in biological fluids, the majority of miRNA-detection strategies involve either target/signal amplification or involve complex sensing designs. In this study, we have developed and tested a DNA-based fluorescence resonance energy transfer (FRET) sensor that enables ultrasensitive detection of a miRNA biomarker (miRNA-342-3p) expressed by triple-negative breast cancer (TNBC) cells. The sensor shows a relatively low FRET state in the absence of a target but it undergoes continuous FRET transitions between low- and high-FRET states in the presence of the target. The sensor is highly specific, has a detection limit down to low femtomolar (fM) without having to amplify the target, and has a large dynamic range (3 orders of magnitude) extending to 300 000 fM. Using this strategy, we demonstrated that the sensor allows detection of miRNA-342-3p in the miRNA-extracts from cancer cell lines and TNBC patient-derived xenografts. Given the simple-to-design hybridization-based detection, the sensing platform developed here can be used to detect a wide range of miRNAs enabling early diagnosis and screening of other genetic disorders.Entities:
Keywords: biomarkers; fluorescence resonance energy transfer (FRET); high-confidence; miRNA; single-molecule; triple negative breast cancer (TNBC)
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Year: 2022 PMID: 35312280 PMCID: PMC9112324 DOI: 10.1021/acssensors.1c02748
Source DB: PubMed Journal: ACS Sens ISSN: 2379-3694 Impact factor: 7.711