An extracellular vesicle microRNA-initiated 3D DNAzyme motor for colorectal cancer diagnosis.
Qian FanXu-Hong SunNa WuYuan-He WangJian-Hua WangTing YangPublished in: The Analyst (2024)
MicroRNA is regarded as a significant biomarker for cancer diagnosis, disease process evaluation and therapeutic guidance, and dual-parameter measurement may contribute to a more accurate and realistic assessment. To meet the urgent need for simultaneous detection of multiple biomarkers, we combined three-dimensional DNAzyme motors with single molecule imaging technique to construct a convenient, intuitive, and sensitive approach for the simultaneous detection of dual miRNAs in the free state or in extracellular vesicles. Quantification of target miRNAs can be realized through the detection of amplified fluorescence signals generated by the target miRNA-initiated cleavage of fluorescent substrate strands by the DNAzyme motors. The practicability was systematically validated with microRNA-21-5p and microRNA-10b-5p as targets, acquiring a satisfactory sensitivity sufficient to detect low abundance targets at 0.5 or 1 pM to 100 pM. Besides, the extracellular vesicular miRNAs can be conveniently detected without extraction. The clinical applicability was verified with a series of extracellular vesicles from clinical samples, which exhibited good distinguishability between colorectal cancer patients and healthy donors. In addition to the advantages of good specificity and high sensitivity, the system has potential to be easily adapted by minor alteration of the DNA sequences and fluorophore sets for detection of multiple miRNAs and even other types of biomarkers such as proteins. Therefore, it shows promise to be widely applied in various fields such as early diagnosis of cancer and its prognostic assessment.
Keyphrases
- single molecule
- label free
- living cells
- loop mediated isothermal amplification
- real time pcr
- fluorescent probe
- papillary thyroid
- air pollution
- atomic force microscopy
- particulate matter
- high resolution
- heavy metals
- squamous cell
- deep learning
- climate change
- mass spectrometry
- circulating tumor
- transcription factor
- structural basis
- artificial intelligence
- fluorescence imaging