Regulation of autophagic activation by Rta of Epstein-Barr virus via the extracellular signal-regulated kinase pathway.

Abstract

Autophagy is an intracellular degradation pathway that provides a host defense mechanism against intracellular pathogens. However, many viruses exploit this mechanism to promote their replication. This study shows that lytic induction of Epstein-Barr virus (EBV) increases the membrane-bound form of LC3 (LC3-II) and LC3-containing punctate structures in EBV-positive cells. Transfecting 293T cells with a plasmid that expresses Rta also induces autophagy, revealing that Rta is responsible for autophagic activation. The activation involves Atg5, a key component of autophagy, but not the mTOR pathway. The expression of Rta also activates the transcription of the genes that participate in the formation of autophagosomes, including LC3A, LC3B, and ATG9B genes, as well as those that are involved in the regulation of autophagy, including the genes TNF, IRGM, and TRAIL. Additionally, treatment with U0126 inhibits the Rta-induced autophagy and the expression of autophagy genes, indicating that the autophagic activation is caused by the activation of extracellular signal-regulated kinase (ERK) signaling by Rta. Finally, the inhibition of autophagic activity by an autophagy inhibitor, 3-methyladenine, or Atg5 small interfering RNA, reduces the expression of EBV lytic proteins and the production of viral particles, revealing that autophagy is critical to EBV lytic progression. This investigation reveals how an EBV-encoded transcription factor promotes autophagy to affect viral lytic development.

DOI: 10.1128/JVI.02033-14

Cite this paper

@article{Hung2014RegulationOA, title={Regulation of autophagic activation by Rta of Epstein-Barr virus via the extracellular signal-regulated kinase pathway.}, author={Chien-Hui Hung and Lee-Wen Chen and Wen-Hung Wang and Pey-Jium Chang and Ya-Fang Chiu and Chen-Chia Hung and Ying-Ju Lin and Jieh-Yuan Liou and W Tsai and Chia-Ling Hung and Shih-Tung Liu}, journal={Journal of virology}, year={2014}, volume={88 20}, pages={12133-45} }