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The influenza virus nucleoprotein: a multifunctional RNA-binding protein pivotal to virus replication

Portela, Agustín, Digard, Paul·2002·Journal of General Virology

Abstract

All viruses with negative-sense RNA genomes encode a single-strand RNA-binding nucleoprotein (NP). The primary function of NP is to encapsidate the virus genome for the purposes of RNA transcription, replication and packaging. The purpose of this review is to illustrate using the influenza virus NP as a well-studied example that the molecule is much more than a structural RNA-binding protein, but also functions as a key adapter molecule between virus and host cell processes. It does so through the ability to interact with a wide variety of viral and cellular macromolecules, including RNA, itself, two subunits of the viral RNA-dependent RNA polymerase and the viral matrix protein. NP also interacts with cellular polypeptides, including actin, components of the nuclear import and export apparatus and a nuclear RNA helicase. The evidence for the existence of each of these activities and their possible roles in transcription, replication and intracellular trafficking of the virus genome is considered.

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Metadata

Authors
Portela, A., & Digard, P.
Venue
Journal of General Virology
Published
2002-04-01
Volume
83
Issue
4
Pages
723-734
ISSN
  • 0022-1317 (ISSN-L)
  • 1465-2099
OpenAlex
W2103904572
Cited by
514
References
0
FWCI
9.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The influenza virus nucleoprotein: a multifunctional RNA-binding protein pivotal to virus replication. https://app.cochat.ai/papers/10.1099/0022-1317-83-4-723
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Portela, A., & Digard, P. (2002). The influenza virus nucleoprotein: a multifunctional RNA-binding protein pivotal to virus replication. Journal of General Virology. https://doi.org/10.1099/0022-1317-83-4-723

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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.