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Simultaneous subset tracing and miRNA profiling of tumor-derived exosomes via dual-surface-protein orthogonal barcoding

The clinical potential of miRNA-based liquid biopsy has been largely limited by the heterogeneous sources in plasma and tedious assay processes. Here, we develop a precise and robust one-pot assay called dual-surface-protein-guided orthogonal recognition of tumor-derived exosomes and in situ profili...

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Autores principales: Lei, Yanmei, Fei, Xiaochen, Ding, Yue, Zhang, Jianhui, Zhang, Guihua, Dong, Liang, Song, Jia, Zhuo, Ying, Xue, Wei, Zhang, Peng, Yang, Chaoyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550235/
https://www.ncbi.nlm.nih.gov/pubmed/37792944
http://dx.doi.org/10.1126/sciadv.adi1556
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author Lei, Yanmei
Fei, Xiaochen
Ding, Yue
Zhang, Jianhui
Zhang, Guihua
Dong, Liang
Song, Jia
Zhuo, Ying
Xue, Wei
Zhang, Peng
Yang, Chaoyong
author_facet Lei, Yanmei
Fei, Xiaochen
Ding, Yue
Zhang, Jianhui
Zhang, Guihua
Dong, Liang
Song, Jia
Zhuo, Ying
Xue, Wei
Zhang, Peng
Yang, Chaoyong
author_sort Lei, Yanmei
collection PubMed
description The clinical potential of miRNA-based liquid biopsy has been largely limited by the heterogeneous sources in plasma and tedious assay processes. Here, we develop a precise and robust one-pot assay called dual-surface-protein-guided orthogonal recognition of tumor-derived exosomes and in situ profiling of microRNAs (SORTER) to detect tumor-derived exosomal miRNAs and enhance the diagnostic accuracy of prostate cancer (PCa). The SORTER uses two allosteric aptamers against exosomal marker CD63 and tumor marker EpCAM to create an orthogonal labeling barcode and achieve selective sorting of tumor-specific exosome subtypes. Furthermore, the labeled barcode on tumor-derived exosomes initiated targeted membrane fusion with liposome probes to import miRNA detection reagents, enabling in situ sensitive profiling of tumor-derived exosomal miRNAs. With a signature of six miRNAs, SORTER differentiated PCa and benign prostatic hyperplasia with an accuracy of 100%. Notably, the diagnostic accuracy reached 90.6% in the classification of metastatic and nonmetastatic PCa. We envision that the SORTER will promote the clinical adaptability of miRNA-based liquid biopsy.
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spelling pubmed-105502352023-10-05 Simultaneous subset tracing and miRNA profiling of tumor-derived exosomes via dual-surface-protein orthogonal barcoding Lei, Yanmei Fei, Xiaochen Ding, Yue Zhang, Jianhui Zhang, Guihua Dong, Liang Song, Jia Zhuo, Ying Xue, Wei Zhang, Peng Yang, Chaoyong Sci Adv Physical and Materials Sciences The clinical potential of miRNA-based liquid biopsy has been largely limited by the heterogeneous sources in plasma and tedious assay processes. Here, we develop a precise and robust one-pot assay called dual-surface-protein-guided orthogonal recognition of tumor-derived exosomes and in situ profiling of microRNAs (SORTER) to detect tumor-derived exosomal miRNAs and enhance the diagnostic accuracy of prostate cancer (PCa). The SORTER uses two allosteric aptamers against exosomal marker CD63 and tumor marker EpCAM to create an orthogonal labeling barcode and achieve selective sorting of tumor-specific exosome subtypes. Furthermore, the labeled barcode on tumor-derived exosomes initiated targeted membrane fusion with liposome probes to import miRNA detection reagents, enabling in situ sensitive profiling of tumor-derived exosomal miRNAs. With a signature of six miRNAs, SORTER differentiated PCa and benign prostatic hyperplasia with an accuracy of 100%. Notably, the diagnostic accuracy reached 90.6% in the classification of metastatic and nonmetastatic PCa. We envision that the SORTER will promote the clinical adaptability of miRNA-based liquid biopsy. American Association for the Advancement of Science 2023-10-04 /pmc/articles/PMC10550235/ /pubmed/37792944 http://dx.doi.org/10.1126/sciadv.adi1556 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Physical and Materials Sciences
Lei, Yanmei
Fei, Xiaochen
Ding, Yue
Zhang, Jianhui
Zhang, Guihua
Dong, Liang
Song, Jia
Zhuo, Ying
Xue, Wei
Zhang, Peng
Yang, Chaoyong
Simultaneous subset tracing and miRNA profiling of tumor-derived exosomes via dual-surface-protein orthogonal barcoding
title Simultaneous subset tracing and miRNA profiling of tumor-derived exosomes via dual-surface-protein orthogonal barcoding
title_full Simultaneous subset tracing and miRNA profiling of tumor-derived exosomes via dual-surface-protein orthogonal barcoding
title_fullStr Simultaneous subset tracing and miRNA profiling of tumor-derived exosomes via dual-surface-protein orthogonal barcoding
title_full_unstemmed Simultaneous subset tracing and miRNA profiling of tumor-derived exosomes via dual-surface-protein orthogonal barcoding
title_short Simultaneous subset tracing and miRNA profiling of tumor-derived exosomes via dual-surface-protein orthogonal barcoding
title_sort simultaneous subset tracing and mirna profiling of tumor-derived exosomes via dual-surface-protein orthogonal barcoding
topic Physical and Materials Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550235/
https://www.ncbi.nlm.nih.gov/pubmed/37792944
http://dx.doi.org/10.1126/sciadv.adi1556
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