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CRISPR/Cas13a‐Based MicroRNA Detection in Tumor‐Derived Extracellular Vesicles
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460892/ https://www.ncbi.nlm.nih.gov/pubmed/37340600 http://dx.doi.org/10.1002/advs.202301766 |
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author | Hong, Jae‐Sang Son, Taehwang Castro, Cesar M. Im, Hyungsoon |
author_facet | Hong, Jae‐Sang Son, Taehwang Castro, Cesar M. Im, Hyungsoon |
author_sort | Hong, Jae‐Sang |
collection | PubMed |
description | 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 × 10(8) 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 (<0.65%). The result show an excellent correlation between bulk analysis with the gold‐standard method, RT‐qPCR. The authors also demonstrate multiplexed protein‐miRNA analysis in tumor‐derived EVs by capturing EpCAM‐positive EVs and quantifying miR‐21‐5p‐positive ones in the subpopulation, which show significantly higher counts in the plasma of cancer patients than healthy controls. The developed EV miRNA sensing system provides the specific miRNA detection method in intact EVs without RNA extraction and opens up the possibility of multiplexed single EV analysis for protein and RNA markers. |
format | Online Article Text |
id | pubmed-10460892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104608922023-08-29 CRISPR/Cas13a‐Based MicroRNA Detection in Tumor‐Derived Extracellular Vesicles Hong, Jae‐Sang Son, Taehwang Castro, Cesar M. Im, Hyungsoon Adv Sci (Weinh) Research Articles 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 × 10(8) 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 (<0.65%). The result show an excellent correlation between bulk analysis with the gold‐standard method, RT‐qPCR. The authors also demonstrate multiplexed protein‐miRNA analysis in tumor‐derived EVs by capturing EpCAM‐positive EVs and quantifying miR‐21‐5p‐positive ones in the subpopulation, which show significantly higher counts in the plasma of cancer patients than healthy controls. The developed EV miRNA sensing system provides the specific miRNA detection method in intact EVs without RNA extraction and opens up the possibility of multiplexed single EV analysis for protein and RNA markers. John Wiley and Sons Inc. 2023-06-20 /pmc/articles/PMC10460892/ /pubmed/37340600 http://dx.doi.org/10.1002/advs.202301766 Text en © 2023 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Hong, Jae‐Sang Son, Taehwang Castro, Cesar M. Im, Hyungsoon CRISPR/Cas13a‐Based MicroRNA Detection in Tumor‐Derived Extracellular Vesicles |
title | CRISPR/Cas13a‐Based MicroRNA Detection in Tumor‐Derived Extracellular Vesicles |
title_full | CRISPR/Cas13a‐Based MicroRNA Detection in Tumor‐Derived Extracellular Vesicles |
title_fullStr | CRISPR/Cas13a‐Based MicroRNA Detection in Tumor‐Derived Extracellular Vesicles |
title_full_unstemmed | CRISPR/Cas13a‐Based MicroRNA Detection in Tumor‐Derived Extracellular Vesicles |
title_short | CRISPR/Cas13a‐Based MicroRNA Detection in Tumor‐Derived Extracellular Vesicles |
title_sort | crispr/cas13a‐based microrna detection in tumor‐derived extracellular vesicles |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460892/ https://www.ncbi.nlm.nih.gov/pubmed/37340600 http://dx.doi.org/10.1002/advs.202301766 |
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