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Hepatitis C virus glycoproteins mediate pH-dependent cell entry of pseudotyped retroviral particles

Open access
Hsu, Mayla, Zhang, Jie, Flint, Mike, Logvinoff, Carine, Cheng-Mayer, Cecilia, Rice, Charles M., McKeating, Jane A.·2003·Proceedings of the National Academy of Sciences

Abstract

HIV pseudotypes bearing native hepatitis C virus (HCV) glycoproteins (strain H and Con1) are infectious for the human hepatoma cell lines Huh-7 and PLC/PR5. Infectivity depends on coexpression of both E1 and E2 glycoproteins, is pH-dependent, and can be neutralized by mAbs mapping to amino acids 412–447 within E2. Cell-surface expression of one or all of the candidate receptor molecules (CD81, low-density lipoprotein receptor, scavenger receptor class B type 1, and dendritic cell-specific intercellular adhesion molecule 3 grabbing nonintegrin) failed to confer permissivity to HIV–HCV pseudotype infection. However, HIV–HCV pseudotype infectivity was inhibited by a recombinant soluble form of CD81 and a mAb specific for CD81, suggesting that CD81 may be a component of a receptor complex.

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Metadata

Authors
Hsu, M., Zhang, J., Flint, M., Logvinoff, C., Cheng-Mayer, C., Rice, C. M., & McKeating, J. A.
Venue
Proceedings of the National Academy of Sciences
Published
2003-05-21
Volume
100
Issue
12
Pages
7271-7276
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2012420380
Cited by
795
References
0
FWCI
32.83
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Hepatitis C virus glycoproteins mediate pH-dependent cell entry of pseudotyped retroviral particles. https://app.cochat.ai/papers/10.1073/pnas.0832180100
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Hsu, M., Zhang, J., Flint, M., Logvinoff, C., Cheng-Mayer, C., Rice, C. M., & McKeating, J. A. (2003). Hepatitis C virus glycoproteins mediate pH-dependent cell entry of pseudotyped retroviral particles. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0832180100

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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.