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Cited by 378

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Protection against lethal influenza virus challenge by RNA interference in vivo

Open access
Tompkins, Stephen Mark, Lo, Chia-Yun, Tumpey, Terrence M., Epstein, Suzanne L.·2004·Proceedings of the National Academy of Sciences

Abstract

Influenza virus infection is responsible for hundreds of thousands of deaths annually. Current vaccination strategies and antiviral drugs provide limited protection; therefore, new strategies are needed. RNA interference is an effective means of suppressing virus replication in vitro. Here we demonstrate that treatment with small interfering RNAs (siRNAs) specific for highly conserved regions of the nucleoprotein or acidic polymerase inhibits influenza A virus replication in vivo. Delivery of these siRNAs significantly reduced lung virus titers in infected mice and protected animals from lethal challenge. This protection was specific and not mediated by an antiviral IFN response. Moreover, influenza-specific siRNA treatment was broadly effective and protected animals against lethal challenge with highly pathogenic avian influenza A viruses of the H5 and H7 subtypes. These results indicate that RNA interference is promising for control of influenza virus infection, as well as other viral infections.

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Metadata

Authors
Tompkins, S. M., Lo, C.-Y., Tumpey, T. M., & Epstein, S. L.
Venue
Proceedings of the National Academy of Sciences
Published
2004-06
Volume
101
Issue
23
Pages
8682-8686
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2063107058
Cited by
378
References
0
FWCI
23.64
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Protection against lethal influenza virus challenge by RNA interference in vivo. https://app.cochat.ai/papers/10.1073/pnas.0402630101
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Tompkins, S. M., Lo, C.-Y., Tumpey, T. M., & Epstein, S. L. (2004). Protection against lethal influenza virus challenge by RNA interference in vivo. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0402630101

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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.