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Surfactant-guided spatial assembly of nano-architectures for molecular profiling of extracellular vesicles
The controlled assembly of nanomaterials into desired architectures presents many opportunities; however, current preparations lack spatial precision and versatility in developing complex nano-architectures. Inspired by the amphiphilic nature of surfactants, we develop a facile approach to guide nan...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245598/ https://www.ncbi.nlm.nih.gov/pubmed/34193867 http://dx.doi.org/10.1038/s41467-021-23759-9 |
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author | Wang, Zhigang Zhao, Haitao Zhang, Yan Natalia, Auginia Ong, Chin-Ann J. Teo, Melissa C. C. So, Jimmy B. Y. Shao, Huilin |
author_facet | Wang, Zhigang Zhao, Haitao Zhang, Yan Natalia, Auginia Ong, Chin-Ann J. Teo, Melissa C. C. So, Jimmy B. Y. Shao, Huilin |
author_sort | Wang, Zhigang |
collection | PubMed |
description | The controlled assembly of nanomaterials into desired architectures presents many opportunities; however, current preparations lack spatial precision and versatility in developing complex nano-architectures. Inspired by the amphiphilic nature of surfactants, we develop a facile approach to guide nanomaterial integration – spatial organization and distribution – in metal-organic frameworks (MOFs). Named surfactant tunable spatial architecture (STAR), the technology leverages the varied interactions of surfactants with nanoparticles and MOF constituents, respectively, to direct nanoparticle arrangement while molding the growing framework. By surfactant matching, the approach achieves not only tunable and precise integration of diverse nanomaterials in different MOF structures, but also fast and aqueous synthesis, in solution and on solid substrates. Employing the approach, we develop a dual-probe STAR that comprises peripheral working probes and central reference probes to achieve differential responsiveness to biomarkers. When applied for the direct profiling of clinical ascites, STAR reveals glycosylation signatures of extracellular vesicles and differentiates cancer patient prognosis. |
format | Online Article Text |
id | pubmed-8245598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82455982021-07-20 Surfactant-guided spatial assembly of nano-architectures for molecular profiling of extracellular vesicles Wang, Zhigang Zhao, Haitao Zhang, Yan Natalia, Auginia Ong, Chin-Ann J. Teo, Melissa C. C. So, Jimmy B. Y. Shao, Huilin Nat Commun Article The controlled assembly of nanomaterials into desired architectures presents many opportunities; however, current preparations lack spatial precision and versatility in developing complex nano-architectures. Inspired by the amphiphilic nature of surfactants, we develop a facile approach to guide nanomaterial integration – spatial organization and distribution – in metal-organic frameworks (MOFs). Named surfactant tunable spatial architecture (STAR), the technology leverages the varied interactions of surfactants with nanoparticles and MOF constituents, respectively, to direct nanoparticle arrangement while molding the growing framework. By surfactant matching, the approach achieves not only tunable and precise integration of diverse nanomaterials in different MOF structures, but also fast and aqueous synthesis, in solution and on solid substrates. Employing the approach, we develop a dual-probe STAR that comprises peripheral working probes and central reference probes to achieve differential responsiveness to biomarkers. When applied for the direct profiling of clinical ascites, STAR reveals glycosylation signatures of extracellular vesicles and differentiates cancer patient prognosis. Nature Publishing Group UK 2021-06-30 /pmc/articles/PMC8245598/ /pubmed/34193867 http://dx.doi.org/10.1038/s41467-021-23759-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Zhigang Zhao, Haitao Zhang, Yan Natalia, Auginia Ong, Chin-Ann J. Teo, Melissa C. C. So, Jimmy B. Y. Shao, Huilin Surfactant-guided spatial assembly of nano-architectures for molecular profiling of extracellular vesicles |
title | Surfactant-guided spatial assembly of nano-architectures for molecular profiling of extracellular vesicles |
title_full | Surfactant-guided spatial assembly of nano-architectures for molecular profiling of extracellular vesicles |
title_fullStr | Surfactant-guided spatial assembly of nano-architectures for molecular profiling of extracellular vesicles |
title_full_unstemmed | Surfactant-guided spatial assembly of nano-architectures for molecular profiling of extracellular vesicles |
title_short | Surfactant-guided spatial assembly of nano-architectures for molecular profiling of extracellular vesicles |
title_sort | surfactant-guided spatial assembly of nano-architectures for molecular profiling of extracellular vesicles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245598/ https://www.ncbi.nlm.nih.gov/pubmed/34193867 http://dx.doi.org/10.1038/s41467-021-23759-9 |
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