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Cited by 366

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Evolutionary conflicts between viruses and restriction factors shape immunity

Open access
Duggal, Nisha K., Emerman, Michael·2012·Nature Reviews Immunology

Abstract

Host restriction factors are potent, widely expressed intracellular blocks to viral replication that are an important component of the innate immune response to viral infection. However, viruses have evolved mechanisms that antagonize restriction factors. Through evolutionary pressure for both host survival and virus replication, an evolutionary 'arms race' has developed that drives continuous rounds of selection for beneficial mutations in the genes encoding restriction factors and their viral antagonists. Because viruses can evolve faster than their hosts, the innate immune system of modern-day vertebrates is for the most part optimized to defend against ancient viruses, rather than newer viral threats. Thus, the evolutionary history of restriction factors might, in part, explain why humans are susceptible or resistant to the viruses present in the modern world.

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Metadata

Authors
Duggal, N. K., & Emerman, M.
Venue
Nature Reviews Immunology
Published
2012-09-14
Volume
12
Issue
10
Pages
687-695
ISSN
  • 1474-1733 (ISSN-L)
  • 1474-1741
OpenAlex
W1996463917
Cited by
366
References
9
FWCI
1.33
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Evolutionary conflicts between viruses and restriction factors shape immunity. https://app.cochat.ai/papers/10.1038/nri3295
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Duggal, N. K., & Emerman, M. (2012). Evolutionary conflicts between viruses and restriction factors shape immunity. Nature Reviews Immunology. https://doi.org/10.1038/nri3295

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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.