Surfactant-guided spatial assembly of nano-architectures for molecular profiling of extracellular vesicles

Zhigang Wang, Haitao Zhao, Yan Zhang, Auginia Natalia, Chin-Ann J. Ong, Melissa C. C. Teo, Jimmy B. Y. So and Huilin Shao ()
Additional contact information
Zhigang Wang: Institute for Health Innovation & Technology, National University of Singapore
Haitao Zhao: Institute for Health Innovation & Technology, National University of Singapore
Yan Zhang: Institute for Health Innovation & Technology, National University of Singapore
Auginia Natalia: Institute for Health Innovation & Technology, National University of Singapore
Chin-Ann J. Ong: Division of Surgical Oncology, National Cancer Centre
Melissa C. C. Teo: Division of Surgical Oncology, National Cancer Centre
Jimmy B. Y. So: National University of Singapore
Huilin Shao: Institute for Health Innovation & Technology, National University of Singapore

Nature Communications, 2021, vol. 12, issue 1, 1-12

Abstract: Abstract 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.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-021-23759-9 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23759-9

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-021-23759-9

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().