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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...

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Autores principales: Hong, Jae‐Sang, Son, Taehwang, Castro, Cesar M., Im, Hyungsoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
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.
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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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