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Cited by 487

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Dissecting virus entry via endocytosis

Sieczkarski, Sara B., Whittaker, Gary R.·2002·Journal of General Virology

Abstract

Numerous virus families utilize endocytosis to infect host cells, mediating virus internalization as well as trafficking to the site of replication. Recent research has demonstrated that viruses employ the full endocytic capabilities of the cell. The endocytic pathways utilized include clathrin-mediated endocytosis, caveolae, macropinocytosis and novel non-clathrin, non-caveolae pathways. The tools to study endocytosis and, consequently, virus entry are becoming more effective and specific as the amount of information on endocytic component structure and function increases. The use of inhibitory drugs, although still quite common, often leads to non-specific disruptions in the cell. Molecular inhibitors in the form of dominant–negative proteins have surpassed the use of chemical inhibitors in terms of specificity to individual pathways. Dominant–negative molecules are derived from both structural proteins of endocytosis, such as dynamin and caveolin, and regulatory proteins, primarily small GTPases and kinases. This review focuses on the experimental approaches taken to examine virus entry and provides both classic examples and recent research on a variety of virus families.

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Metadata

Authors
Sieczkarski, S. B., & Whittaker, G. R.
Venue
Journal of General Virology
Published
2002-07-01
Volume
83
Issue
7
Pages
1535-1545
ISSN
  • 0022-1317 (ISSN-L)
  • 1465-2099
OpenAlex
W2109958551
Cited by
487
References
2
FWCI
10.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dissecting virus entry via endocytosis. https://app.cochat.ai/papers/10.1099/0022-1317-83-7-1535
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Sieczkarski, S. B., & Whittaker, G. R. (2002). Dissecting virus entry via endocytosis. Journal of General Virology. https://doi.org/10.1099/0022-1317-83-7-1535

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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