The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
A DNA Nanostructure Platform for Directed Assembly of Synthetic Vaccines
Open accessAbstract
Safe and effective vaccines offer the best intervention for disease control. One strategy to maximize vaccine immunogenicity without compromising safety is to rationally design molecular complexes that mimic the natural structure of immunogenic microbes but without the disease-causing components. Here we use highly programmable DNA nanostructures as platforms to assemble a model antigen and CpG adjuvants together into nanoscale complexes with precise control of the valency and spatial arrangement of each element. Our results from immunized mice show that compared to a mixture of antigen and CpG molecules, the assembled antigen-adjuvant-DNA complexes induce strong and long-lasting antibody responses against the antigen without stimulating a reaction to the DNA nanostructure itself. This result demonstrates the potential of DNA nanostructures to serve as general platforms for the rational design and construction of a variety of vaccines.
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Cites
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Cited by
DNA Nanotechnology-Enabled Drug Delivery Systems
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DNA nanotechnology from the test tube to the cell
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Smart Drug Delivery Nanocarriers with Self‐Assembled DNA Nanostructures
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Metadata
- Authors
- Liu, X., Xu, Y., Yu, T., Clifford, C., Liu, Y., Yan, H., & Chang, Y.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-07-06
- Volume
- 12
- Issue
- 8
- Pages
- 4254-4259
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2091691458
- Cited by
- 289
- References
- 32
- FWCI
- 8.25
- Type
- journal article
- Language
- en
- Open access
- green
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- Liu, X., Xu, Y., Yu, T., Clifford, C., Liu, Y., Yan, H., & Chang, Y. (2012). A DNA Nanostructure Platform for Directed Assembly of Synthetic Vaccines. Nano Letters. https://doi.org/10.1021/nl301877k
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.