DNA‐Directed Patterning for Versatile Validation and Characterization of a Lipid‐Based Nanoparticle Model of SARS‐CoV‐2
Open Access
- 21 October 2021
- journal article
- research article
- Published by Wiley in Advanced Science
- Vol. 8 (23), 2101166
- https://doi.org/10.1002/advs.202101166
Abstract
Lipid-based nanoparticles have been applied extensively in drug delivery and vaccine strategies and are finding diverse applications in the coronavirus disease 2019 (COVID-19) pandemic—from vaccine-component encapsulation to modeling the virus, itself. High-throughput, highly flexible methods for characterization are of great benefit to the development of liposomes featuring surface proteins. DNA-directed patterning is one such method that offers versatility in immobilizing and segregating lipid-based nanoparticles for subsequent analysis. Here, oligonucleotides are selectively conjugated onto a glass substrate and then hybridized to complementary oligonucleotides tagged to liposomes, patterning them with great control and precision. The power of DNA-directed patterning is demonstrated by characterizing a novel recapitulative lipid-based nanoparticle model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)—S–liposomes—that presents the SARS-CoV-2 spike (S) protein on its surface. Patterning a mixture of S–liposomes and liposomes that display the tetraspanin CD63 to discrete regions of a substrate shows that angiotensin-converting enzyme 2 (ACE2) specifically binds to S–liposomes. Subsequent introduction of S–liposomes to ACE2-expressing cells tests the biological function of S–liposomes and shows agreement with DNA-directed patterning-based assays. Finally, multiplexed patterning of S–liposomes verifies the performance of commercially available neutralizing antibodies against the two S variants. Overall, DNA-directed patterning enables a wide variety of custom assays for the characterization of any lipid-based nanoparticle.Funding Information
- Fred Hutchinson Cancer Research Center
- University of California Berkeley
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