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Cited by 489

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Cationic microparticles: A potent delivery system for DNA vaccines

Open access
Singh, Manmohan, Briones, Maylene, Ott, Gary, O'Hagan, Derek·2000·Proceedings of the National Academy of Sciences

Abstract

An approach involving the preparation of biodegradable microparticles with a cationic surface was developed to improve the delivery of adsorbed DNA into antigen-presenting cells after i.m. injection. The microparticles released intact and functional DNA over 2 weeks in vitro . In addition, the microparticles induced higher levels of marker gene expression in vivo . After i.m. immunization, the microparticles induced significantly enhanced serum antibody responses in comparison to naked DNA. Moreover, the level of antibodies induced by the microparticles was significantly enhanced by the addition of a vaccine adjuvant, aluminum phosphate. In addition, in contrast to naked DNA, the cationic microparticles induced potent cytotoxic T lymphocyte responses at a low dose.

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Crossref · 10.1073/pnas.97.2.811

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Metadata

Authors
Singh, M., Briones, M., Ott, G., & O'Hagan, D.
Venue
Proceedings of the National Academy of Sciences
Published
2000-01-18
Volume
97
Issue
2
Pages
811-816
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2097738098
Cited by
489
References
3
FWCI
11.03
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Cationic microparticles: A potent delivery system for DNA vaccines. https://app.cochat.ai/papers/10.1073/pnas.97.2.811
The paper
Singh, M., Briones, M., Ott, G., & O'Hagan, D. (2000). Cationic microparticles: A potent delivery system for DNA vaccines. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.97.2.811

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.