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Cited by 192

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Dissection of Semliki Forest virus glycoprotein delivery from the trans-Golgi network to the cell surface in permeabilized BHK cells.

Open access
de Curtis, I, Simons, K·1988·Proceedings of the National Academy of Sciences

Abstract

In this paper mechanically permeabilized cells have been used to dissect the transport of Semliki Forest virus glycoproteins from the trans-Golgi network to the plasma membrane. Transport from the Golgi complex was monitored by measuring the proteolytic cleavage of the Semliki Forest virus p62 glycoprotein into the E2 and E3 polypeptide chains. Cell surface appearance was measured by the exposure of the exoplasmic domain to antibodies directed against the viral glycoprotein. Both the cleavage of the p62 protein and the transport of the glycoprotein to the cell surface were reconstituted in permeabilized BHK cells when calcium and glucose were present in the medium. Detailed analysis showed that the cleavage of the p62 protein occurred before arrival to the plasma membrane.

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Metadata

Authors
de Curtis, I., & Simons, K.
Venue
Proceedings of the National Academy of Sciences
Published
1988-11
Volume
85
Issue
21
Pages
8052-8056
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2161235433
Cited by
192
References
0
FWCI
4.21
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Dissection of Semliki Forest virus glycoprotein delivery from the trans-Golgi network to the cell surface in permeabilized BHK cells. https://app.cochat.ai/papers/10.1073/pnas.85.21.8052
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de Curtis, I., & Simons, K. (1988). Dissection of Semliki Forest virus glycoprotein delivery from the trans-Golgi network to the cell surface in permeabilized BHK cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.85.21.8052

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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.