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Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection
Extracellular vesicles (EVs) have emerged as a promising source of biomarkers for disease diagnosis. However, current diagnostic methods for EVs present formidable challenges, given the low expression levels of biomarkers carried by EV samples, as well as their complex physical and biological proper...
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/PMC10667851/ https://www.ncbi.nlm.nih.gov/pubmed/37802976 http://dx.doi.org/10.1002/advs.202303619 |
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author | Reynolds, David E. Pan, Menghan Yang, Jingbo Galanis, George Roh, Yoon Ho Morales, Renee‐Tyler T. Kumar, Shailesh Senthil Heo, Su‐Jin Xu, Xiaowei Guo, Wei Ko, Jina |
author_facet | Reynolds, David E. Pan, Menghan Yang, Jingbo Galanis, George Roh, Yoon Ho Morales, Renee‐Tyler T. Kumar, Shailesh Senthil Heo, Su‐Jin Xu, Xiaowei Guo, Wei Ko, Jina |
author_sort | Reynolds, David E. |
collection | PubMed |
description | Extracellular vesicles (EVs) have emerged as a promising source of biomarkers for disease diagnosis. However, current diagnostic methods for EVs present formidable challenges, given the low expression levels of biomarkers carried by EV samples, as well as their complex physical and biological properties. Herein, a highly sensitive double digital assay is developed that allows for the absolute quantification of individual molecules from a single EV. Because the relative abundance of proteins is low for a single EV, tyramide signal amplification (TSA) is integrated to increase the fluorescent signal readout for evaluation. With the integrative microfluidic technology, the technology's ability to compartmentalize single EVs is successfully demonstrated, proving the technology's digital partitioning capacity. Then the device is applied to detect single PD‐L1 proteins from single EVs derived from a melanoma cell line and it is discovered that there are ≈2.7 molecules expressed per EV, demonstrating the applicability of the system for profiling important prognostic and diagnostic cancer biomarkers for therapy response, metastatic status, and tumor progression. The ability to accurately quantify protein molecules of rare abundance from individual EVs will shed light on the understanding of EV heterogeneity and discovery of EV subtypes as new biomarkers. |
format | Online Article Text |
id | pubmed-10667851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106678512023-10-06 Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection Reynolds, David E. Pan, Menghan Yang, Jingbo Galanis, George Roh, Yoon Ho Morales, Renee‐Tyler T. Kumar, Shailesh Senthil Heo, Su‐Jin Xu, Xiaowei Guo, Wei Ko, Jina Adv Sci (Weinh) Research Articles Extracellular vesicles (EVs) have emerged as a promising source of biomarkers for disease diagnosis. However, current diagnostic methods for EVs present formidable challenges, given the low expression levels of biomarkers carried by EV samples, as well as their complex physical and biological properties. Herein, a highly sensitive double digital assay is developed that allows for the absolute quantification of individual molecules from a single EV. Because the relative abundance of proteins is low for a single EV, tyramide signal amplification (TSA) is integrated to increase the fluorescent signal readout for evaluation. With the integrative microfluidic technology, the technology's ability to compartmentalize single EVs is successfully demonstrated, proving the technology's digital partitioning capacity. Then the device is applied to detect single PD‐L1 proteins from single EVs derived from a melanoma cell line and it is discovered that there are ≈2.7 molecules expressed per EV, demonstrating the applicability of the system for profiling important prognostic and diagnostic cancer biomarkers for therapy response, metastatic status, and tumor progression. The ability to accurately quantify protein molecules of rare abundance from individual EVs will shed light on the understanding of EV heterogeneity and discovery of EV subtypes as new biomarkers. John Wiley and Sons Inc. 2023-10-06 /pmc/articles/PMC10667851/ /pubmed/37802976 http://dx.doi.org/10.1002/advs.202303619 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 Reynolds, David E. Pan, Menghan Yang, Jingbo Galanis, George Roh, Yoon Ho Morales, Renee‐Tyler T. Kumar, Shailesh Senthil Heo, Su‐Jin Xu, Xiaowei Guo, Wei Ko, Jina Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection |
title | Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection |
title_full | Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection |
title_fullStr | Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection |
title_full_unstemmed | Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection |
title_short | Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection |
title_sort | double digital assay for single extracellular vesicle and single molecule detection |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667851/ https://www.ncbi.nlm.nih.gov/pubmed/37802976 http://dx.doi.org/10.1002/advs.202303619 |
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