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Cited by 332

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Designing Vaccines Based on Biology of Human Dendritic Cell Subsets

Open access
Palucka, Karolina, Banchereau, Jacques, Mellman, Ira·2010·Immunity

Abstract

The effective vaccines developed against a variety of infectious agents, including polio, measles and Hepatitis B, represent major achievements in medicine. These vaccines, usually composed of microbial antigens, are often associated with an adjuvant that activates dendritic cells (DCs). Many infectious diseases are still in need of an effective vaccine including HIV, malaria, hepatitis C and tuberculosis. In some cases, the induction of cellular rather than humoral responses may be more important as the goal is to control and eliminate the existing infection rather than to prevent it. Our increased understanding of the mechanisms of antigen presentation, particularly with the description of DC subsets with distinct functions, as well as their plasticity in responding to extrinsic signals, represent opportunities to develop novel vaccines. In addition, we foresee that this increased knowledge will permit us to design vaccines that will reprogram the immune system to intervene therapeutically in cancer, allergy and autoimmunity.

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Crossref · 10.1016/j.immuni.2010.10.007

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Metadata

Authors
Palucka, K., Banchereau, J., & Mellman, I.
Venue
Immunity
Publisher
Elsevier BV
Published
2010-10
Volume
33
Issue
4
Pages
464-478
ISSN
1074-7613 (ISSN-L)
OpenAlex
W2067015198
Cited by
332
References
18
FWCI
15.81
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Designing Vaccines Based on Biology of Human Dendritic Cell Subsets. https://app.cochat.ai/papers/10.1016/j.immuni.2010.10.007
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Palucka, K., Banchereau, J., & Mellman, I. (2010). Designing Vaccines Based on Biology of Human Dendritic Cell Subsets. Immunity. https://doi.org/10.1016/j.immuni.2010.10.007

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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.