The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.
Herpesvirus latency
Open accessAbstract
Herpesviruses infect virtually all humans and establish lifelong latency and reactivate to infect other humans. Latency requires multiple functions: maintaining the herpesvirus genome in the nuclei of cells; partitioning the viral genome to daughter cells in dividing cells; avoiding recognition by the immune system by limiting protein expression; producing noncoding viral RNAs (including microRNAs) to suppress lytic gene expression or regulate cellular protein expression that could otherwise eliminate virus-infected cells; modulating the epigenetic state of the viral genome to regulate viral gene expression; and reactivating to infect other hosts. Licensed antivirals inhibit virus replication, but do not affect latency. Understanding of the mechanisms of latency is leading to novel approaches to destroy latently infected cells or inhibit reactivation from latency.
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Citations
Cites
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Cited by
Eukaryotic genomic data uncover an extensive host range of mirusviruses
Zhao, H., Meng, L., Hikida, H., & Ogata, H. (2024) · Current Biology · doi:10.1016/j.cub.2024.04.085 · Cited by 20
Zhen, J., Chen, J., Huang, H., Liao, S., Liu, S., Yuan, Y., Sun, R., Longnecker, R., Wu, T.-T., & Zhou, Z. H. (2024) · Journal of Virology · doi:10.1128/jvi.01194-24 · Cited by 12
Inherited Chromosomally Integrated HHV-6: Diagnosis and Clinical Features
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(2024) · doi:10.1128/jvi.01000-24 · Cited by 4
Metadata
- Authors
- Cohen, J. I.
- Venue
- Journal of Clinical Investigation
- Published
- 2020-05-04
- Volume
- 130
- Issue
- 7
- Pages
- 3361-3369
- ISSN
- 0021-9738 (ISSN-L)
- 1558-8238
- OpenAlex
- W4249951415
- Cited by
- 280
- References
- 101
- FWCI
- 17.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
