Please use this identifier to cite or link to this item:
Title: Exosome-templated nanoplasmonics for multiparametric molecular profiling
Authors: Wu, X.
Zhao, H. 
Natalia, A. 
Lim, C.Z.J.
Ho, N.R.Y.
Ong, C.-A.J. 
Teo, M.C.C. 
So, J.B.Y. 
Shao, H. 
Issue Date: 6-May-2020
Publisher: American Association for the Advancement of Science
Citation: Wu, X., Zhao, H., Natalia, A., Lim, C.Z.J., Ho, N.R.Y., Ong, C.-A.J., Teo, M.C.C., So, J.B.Y., Shao, H. (2020-05-06). Exosome-templated nanoplasmonics for multiparametric molecular profiling. Science Advances 6 (19) : eaba2556 eaba2556. ScholarBank@NUS Repository.
Rights: Attribution-NonCommercial 4.0 International
Abstract: 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. Copyright © 2020 The Authors.
Source Title: Science Advances
ISSN: 23752548
DOI: 10.1126/sciadv.aba2556
Rights: Attribution-NonCommercial 4.0 International
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1126_sciadv_aba2556.pdf3.94 MBAdobe PDF



Google ScholarTM



This item is licensed under a Creative Commons License Creative Commons