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Cited by 250

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Sequence requirements for cleavage activation of influenza virus hemagglutinin expressed in mammalian cells.

Open access
Kawaoka, Y, Webster, R G·1988·Proceedings of the National Academy of Sciences

Abstract

Cleavage of the hemagglutinin (HA) in tissue culture systems has been correlated with virulence of avian influenza viruses. To examine the structural requirements for cleavage of the HA, the HA gene from a virulent H5 influenza virus was expressed in mammalian cells (CV-1), and the cleavage site of the HA was explored by using site-specific mutagenesis. The expressed HA protein exhibited normal cleavage, transport to the cell membrane, and ability to adsorb and to fuse erythrocytes at pH 5. Site-specific mutagenesis of the HA directly established that (i) most of the basic amino acids at this site are critical for cleavage activation; (ii) besides the connecting peptide sequence, at least one other structural feature of the HA is required for enzyme recognition; and (iii) the length of the connecting peptide can abrogate the structural feature(s).

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Metadata

Authors
Kawaoka, Y., & Webster, R. G.
Venue
Proceedings of the National Academy of Sciences
Published
1988-01
Volume
85
Issue
2
Pages
324-328
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1995189663
Cited by
250
References
0
FWCI
9.04
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Sequence requirements for cleavage activation of influenza virus hemagglutinin expressed in mammalian cells. https://app.cochat.ai/papers/10.1073/pnas.85.2.324
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Kawaoka, Y., & Webster, R. G. (1988). Sequence requirements for cleavage activation of influenza virus hemagglutinin expressed in mammalian cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.85.2.324

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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.