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Cited by 309

The DOI matches its Crossref record; 155 of the 155 references it cites were found in a registry or an index.

Technologies for enhanced efficacy of DNA vaccines

Open access
Saade, Fadi, Petrovsky, Nikolai·2012·Expert Review of Vaccines

Abstract

Despite many years of research, human DNA vaccines have yet to fulfill their early promise. Over the past 15 years, multiple generations of DNA vaccines have been developed and tested in preclinical models for prophylactic and therapeutic applications in the areas of infectious disease and cancer, but have failed in the clinic. Thus, while DNA vaccines have achieved successful licensure for veterinary applications, their poor immunogenicity in humans when compared with traditional protein-based vaccines has hindered their progress. Many strategies have been attempted to improve DNA vaccine potency including use of more efficient promoters and codon optimization, addition of traditional or genetic adjuvants, electroporation, intradermal delivery and various prime-boost strategies. This review summarizes these advances in DNA vaccine technologies and attempts to answer the question of when DNA vaccines might eventually be licensed for human use.

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Metadata

Authors
Saade, F., & Petrovsky, N.
Venue
Expert Review of Vaccines
Published
2012-02
Volume
11
Issue
2
Pages
189-209
ISSN
  • 1476-0584 (ISSN-L)
  • 1744-8395
OpenAlex
W2133623475
Cited by
309
References
155
FWCI
12.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Technologies for enhanced efficacy of DNA vaccines. https://app.cochat.ai/papers/10.1586/erv.11.188
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Saade, F., & Petrovsky, N. (2012). Technologies for enhanced efficacy of DNA vaccines. Expert Review of Vaccines. https://doi.org/10.1586/erv.11.188

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.