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Exosome-templated nanoplasmonics for multiparametric molecular profiling
Exosomes are nanoscale vesicles distinguished by characteristic biophysical and biomolecular features; current analytical approaches, however, remain univariate. Here, we develop a dedicated platform for multiparametric exosome analysis—through simultaneous biophysical and biomolecular evaluation of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202874/ https://www.ncbi.nlm.nih.gov/pubmed/32494726 http://dx.doi.org/10.1126/sciadv.aba2556 |
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author | Wu, Xingjie Zhao, Haitao Natalia, Auginia Lim, Carine Z. J. Ho, Nicholas R. Y. Ong, Chin-Ann J. Teo, Melissa C. C. So, Jimmy B. Y. Shao, Huilin |
author_facet | Wu, Xingjie Zhao, Haitao Natalia, Auginia Lim, Carine Z. J. Ho, Nicholas R. Y. Ong, Chin-Ann J. Teo, Melissa C. C. So, Jimmy B. Y. Shao, Huilin |
author_sort | Wu, Xingjie |
collection | PubMed |
description | Exosomes are nanoscale vesicles distinguished by characteristic biophysical and biomolecular features; current analytical approaches, however, remain univariate. Here, we develop a dedicated platform for multiparametric exosome analysis—through simultaneous biophysical and biomolecular evaluation of the same vesicles—directly in clinical biofluids. Termed templated plasmonics for exosomes, the technology leverages in situ growth of gold nanoshells on vesicles to achieve multiselectivity. For biophysical selectivity, the nanoshell formation is templated by and tuned to distinguish exosome dimensions. For biomolecular selectivity, the nanoshell plasmonics locally quenches fluorescent probes only if they are target-bound on the same vesicle. The technology thus achieves multiplexed analysis of diverse exosomal biomarkers (e.g., proteins and microRNAs) but remains unresponsive to nonvesicle biomarkers. When implemented on a microfluidic, smartphone-based sensor, the platform is rapid, sensitive, and wash-free. It not only distinguished biomarker organizational states in native clinical samples but also showed that the exosomal subpopulation could more accurately differentiate patient prognosis. |
format | Online Article Text |
id | pubmed-7202874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-72028742020-06-02 Exosome-templated nanoplasmonics for multiparametric molecular profiling Wu, Xingjie Zhao, Haitao Natalia, Auginia Lim, Carine Z. J. Ho, Nicholas R. Y. Ong, Chin-Ann J. Teo, Melissa C. C. So, Jimmy B. Y. Shao, Huilin Sci Adv Research Articles Exosomes are nanoscale vesicles distinguished by characteristic biophysical and biomolecular features; current analytical approaches, however, remain univariate. Here, we develop a dedicated platform for multiparametric exosome analysis—through simultaneous biophysical and biomolecular evaluation of the same vesicles—directly in clinical biofluids. Termed templated plasmonics for exosomes, the technology leverages in situ growth of gold nanoshells on vesicles to achieve multiselectivity. For biophysical selectivity, the nanoshell formation is templated by and tuned to distinguish exosome dimensions. For biomolecular selectivity, the nanoshell plasmonics locally quenches fluorescent probes only if they are target-bound on the same vesicle. The technology thus achieves multiplexed analysis of diverse exosomal biomarkers (e.g., proteins and microRNAs) but remains unresponsive to nonvesicle biomarkers. When implemented on a microfluidic, smartphone-based sensor, the platform is rapid, sensitive, and wash-free. It not only distinguished biomarker organizational states in native clinical samples but also showed that the exosomal subpopulation could more accurately differentiate patient prognosis. American Association for the Advancement of Science 2020-05-06 /pmc/articles/PMC7202874/ /pubmed/32494726 http://dx.doi.org/10.1126/sciadv.aba2556 Text en Copyright © 2020 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). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://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 | Research Articles Wu, Xingjie Zhao, Haitao Natalia, Auginia Lim, Carine Z. J. Ho, Nicholas R. Y. Ong, Chin-Ann J. Teo, Melissa C. C. So, Jimmy B. Y. Shao, Huilin Exosome-templated nanoplasmonics for multiparametric molecular profiling |
title | Exosome-templated nanoplasmonics for multiparametric molecular profiling |
title_full | Exosome-templated nanoplasmonics for multiparametric molecular profiling |
title_fullStr | Exosome-templated nanoplasmonics for multiparametric molecular profiling |
title_full_unstemmed | Exosome-templated nanoplasmonics for multiparametric molecular profiling |
title_short | Exosome-templated nanoplasmonics for multiparametric molecular profiling |
title_sort | exosome-templated nanoplasmonics for multiparametric molecular profiling |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202874/ https://www.ncbi.nlm.nih.gov/pubmed/32494726 http://dx.doi.org/10.1126/sciadv.aba2556 |
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