CRISPR/Cas13a‐Based MicroRNA Detection in Tumor‐Derived Extracellular Vesicles
Autor: | Jae‐Sang Hong, Taehwang Son, Cesar M. Castro, Hyungsoon Im |
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Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: | |
Zdroj: | Advanced Science, Vol 10, Iss 24, Pp n/a-n/a (2023) |
Druh dokumentu: | article |
ISSN: | 2198-3844 20230176 |
DOI: | 10.1002/advs.202301766 |
Popis: | Abstract MicroRNAs (miRNAs) in extracellular vesicles (EVs) play essential roles in cancer initiation and progression. Quantitative measurements of EV miRNAs are critical for cancer diagnosis and longitudinal monitoring. Traditional PCR‐based methods, however, require multi‐step procedures and remain as bulk analysis. Here, the authors introduce an amplification‐free and extraction‐free EV miRNA detection method using a CRISPR/Cas13a sensing system. CRISPR/Cas13a sensing components are encapsulated in liposomes and delivered them into EVs through liposome‐EV fusion. This allows for accurately quantify specific miRNA‐positive EV counts using 1 × 108 EVs. The authors show that miR‐21‐5p‐positive EV counts are in the range of 2%–10% in ovarian cancer EVs, which is significantly higher than the positive EV counts from the benign cells ( |
Databáze: | Directory of Open Access Journals |
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