The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Suppression of immediate-early viral gene expression by herpesvirus-coded microRNAs: Implications for latency
Open accessAbstract
A quantitative algorithm was developed and applied to predict target genes of microRNAs encoded by herpesviruses. Although there is almost no conservation among microRNAs of different herpesvirus subfamilies, a common pattern of regulation emerged. The algorithm predicts that herpes simplex virus 1, human cytomegalovirus, Epstein–Barr virus, and Kaposi's sarcoma-associated herpesvirus all employ microRNAs to suppress expression of their own genes, including their immediate-early genes. In the case of human cytomegalovirus, a virus-coded microRNA, miR-112-1, was predicted to target the viral immediate-early protein 1 mRNA. To test this prediction, mutant viruses were generated that were unable to express the microRNA, or encoded an immediate-early 1 mRNA lacking its target site. Analysis of RNA and protein within infected cells demonstrated that miR-UL112-1 inhibits expression of the major immediate-early protein. We propose that herpesviruses use microRNA-mediated suppression of immediate-early genes as part of their strategy to enter and maintain latency.
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1 retracted
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Cited by
Viruses, microRNAs, and Host Interactions
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An Epstein-Barr virus–encoded microRNA targets PUMA to promote host cell survival
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Metadata
- Authors
- Murphy, E., Vaníček, J., Robins, H., Shenk, T., & Levine, A. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2008-04-08
- Volume
- 105
- Issue
- 14
- Pages
- 5453-5458
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2170398996
- Cited by
- 265
- References
- 30
- FWCI
- 19.71
- Type
- journal article
- Language
- en
- Open access
- green
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- Murphy, E., Vaníček, J., Robins, H., Shenk, T., & Levine, A. J. (2008). Suppression of immediate-early viral gene expression by herpesvirus-coded microRNAs: Implications for latency. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0711910105
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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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