4.6 Article

Highly Effective Detection of Exosomal miRNAs in Plasma Using Liposome-Mediated Transfection CRISPR/Cas13a

Journal

ACS SENSORS
Volume 8, Issue 2, Pages 565-575

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acssensors.2c01683

Keywords

exosomal miRNA; CRISPR/Cas13a; cationic liposomes; signal amplification; cancer diagnosis

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Exosomal miRNAs have a critical role in cancer biology and may serve as potential biomarkers for cancer diagnosis. However, detecting disease-associated exosomal miRNAs in an easy-to-operate manner is challenging due to their low abundance. In this study, a liposome-mediated membrane fusion strategy (MFS) called MFS-CRISPR was used to directly measure exosomal miRNAs in plasma. The MFS-CRISPR platform exhibited a linear detection range from 10(4) to 10(8) particles/mL and could detect exosomal miR-21 at a low concentration of 1.2 x 10(3) particles/mL. The proposed method showed promising clinical potential for cancer diagnosis and treatment monitoring due to its high sensitivity and simplicity.
Exosomal miRNAs play a critical role in cancer biology and could be potential biomarkers for cancer diagnosis. However, due to the low abundance of miRNAs in the exosomes, recognizing and detecting disease-associated exosomal miRNAs in an easy-to-operate way remain a challenge. Herein, we used a liposome-mediated membrane fusion strategy (MFS) to transfect CRISPR/Cas13a into exosomes, termed MFS-CRISPR, directly measuring exosomal miRNAs in plasma. Using the MFS-CRISPR platform for detection of the exosomal miR-21, we achieve a linear range spanning four orders of magnitude (10(4)-10(8) particles/mL) and the method is able to detect the exosomal miR-21 in as low as 1.2 x 10(3) particles/mL. The liposome-mediated MFS could confine fluorescent signals in fused vesicles, which can be used for exosome heterogeneity analysis. Moreover, MFS-CRISPR assay was evaluated by measuring clinical samples, and the difference of miR-21 expression of breast cancer patients and healthy donors was significant. Because of high sensitivity and simplicity, the proposed method could have promising clinical potential for cancer diagnosis and treatment monitoring.

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