AI Article Synopsis

  • Oral squamous cell carcinoma (OSCC) is the most prevalent oral cancer, and researchers have linked microRNAs (miRNAs) to its detection and prognosis.
  • Recent advancements have led to the development of a biosensor that uses red-emitting upconversion nanoparticles (UCNPs) and an enzyme-free method to amplify signals, enhancing the detection of low-abundance miRNAs.
  • The new biosensor demonstrated high accuracy in measuring miRNA-222 in serum samples, showing results comparable to traditional PCR methods and suggesting its potential for analyzing various biological samples.

Article Abstract

Oral squamous cell carcinoma (OSCC) is the most common type of oral cancer. In recent years, researchers have found a close relationship between microRNAs (miRNAs) and OSCC. In addition, miRNAs are highly stable in tissues and circulation, and are also considered potential biomarkers for cancer detection and prognosis. Among a variety of tools for miRNAs with low abundance, single red-emitting UCNP-based biosensors have attracted special interest due to their unique properties, including deep organizational penetration, weak radiation damage, and low autofluorescence. Additionally, the measurement of low-abundance analytes enzyme-free signal amplification is also an effective means. Herein, by taking advantage of red-emitting UCNPs and an enzyme-toehold-mediated strand displacement cascade, a dual-signal amplification biosensor was constructed. The recycled miRNA can be regarded as a catalyst for the assembly of multiple H1/H2 duplexes, which promoted the response signal of augmented analyte expression. Moreover, the proposed biosensors improved the measurement accuracy a dual-signal response to obviously avert false-positive signals. The proposed method was applied to measure miRNA-222 (a model analyte) in serum samples, and the results were similar to those of polymerase chain reaction (PCR), with spiked recoveries ranging from 91.2% to 101.7%. The proposed assay has the merits of high sensitivity, strong recognition, and low background, indicating broad potential for the measurement of diverse analytes in biological samples.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11487471PMC
http://dx.doi.org/10.1039/d4ra05061dDOI Listing

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