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A Human Herpesvirus MicroRNA Inhibits p21 Expression and Attenuates p21-Mediated Cell Cycle Arrest

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Gottwein, Eva, Cullen, Bryan R.·2010·Journal of Virology

Abstract

The oncogenic human gammaherpesvirus Kaposi's sarcoma-associated herpesvirus (KSHV) expresses 12 viral microRNAs (miRNAs) in latently infected cells. Here, we report that cellular mRNAs encoding the cellular cyclin-dependent kinase inhibitor p21, a key inducer of cell cycle arrest, are direct targets for KSHV miR-K1. Ectopically expressed KSHV miR-K1 specifically inhibited the expression of endogenous p21 in KSHV-negative cells and strongly attenuated the cell cycle arrest that normally occurs upon p53 activation, yet miR-K1 did not prevent the induction of other p53-responsive genes. Stable knockdown of miR-K1 in latently KSHV-infected human primary effusion lymphoma (PEL) B cells revealed a derepression of p21 expression and enhanced cell cycle arrest following activation of p53. Our data demonstrate that miR-K1 represses the expression of p21, a protein with known tumor suppressor functions, and suggest that this KSHV miRNA is likely to contribute to the oncogenic potential of this opportunistic viral pathogen.

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Metadata

Authors
Gottwein, E., & Cullen, B. R.
Venue
Journal of Virology
Published
2010-05-15
Volume
84
Issue
10
Pages
5229-5237
ISSN
  • 0022-538X (ISSN-L)
  • 1098-5514
OpenAlex
W2071817039
Cited by
158
References
6
FWCI
9.40
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A Human Herpesvirus MicroRNA Inhibits p21 Expression and Attenuates p21-Mediated Cell Cycle Arrest. https://app.cochat.ai/papers/10.1128/jvi.00202-10
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Gottwein, E., & Cullen, B. R. (2010). A Human Herpesvirus MicroRNA Inhibits p21 Expression and Attenuates p21-Mediated Cell Cycle Arrest. Journal of Virology. https://doi.org/10.1128/jvi.00202-10

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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.