Phan An T, Fernandez Samantha G, Somberg Jessica J, Keck Kristin M, Miranda Jj L
Gladstone Institute of Virology and Immunology, San Francisco, CA, USA.
Gladstone Institute of Virology and Immunology, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
Biochem Biophys Res Commun. 2016 May 20;474(1):71-75. doi: 10.1016/j.bbrc.2016.04.070. Epub 2016 Apr 16.
The human Epstein-Barr virus (EBV) evades the immune system by entering a transcriptionally latent phase in B cells. EBV in tumor cells expresses distinct patterns of genes referred to as latency types. Viruses in tumor cells also display varying levels of lytic transcription resulting from spontaneous reactivation out of latency. We measured this dynamic range of lytic transcription with RNA deep sequencing and observed no correlation with EBV latency types among genetically different viruses, but type I cell lines reveal more spontaneous reactivation than isogenic type III cultures. We further determined that latency type and spontaneous reactivation levels predict the relative amount of induced reactivation generated by cytotoxic chemotherapy drugs. Our work has potential implications for personalizing medicine against EBV-transformed malignancies. Identifying latency type or measuring spontaneous reactivation may provide predictive power in treatment contexts where viral production should be either avoided or coerced.
人类爱泼斯坦-巴尔病毒(EBV)通过在B细胞中进入转录潜伏阶段来逃避免疫系统。肿瘤细胞中的EBV表达被称为潜伏类型的不同基因模式。肿瘤细胞中的病毒也表现出因潜伏状态的自发重新激活而产生的不同水平的裂解转录。我们用RNA深度测序测量了这种裂解转录的动态范围,并且观察到在基因不同的病毒中,裂解转录与EBV潜伏类型没有相关性,但I型细胞系比同基因的III型培养物表现出更多的自发重新激活。我们进一步确定,潜伏类型和自发重新激活水平可预测细胞毒性化疗药物诱导的重新激活的相对量。我们的工作对针对EBV转化的恶性肿瘤的个性化医疗具有潜在意义。识别潜伏类型或测量自发重新激活可能在应避免或强制病毒产生的治疗环境中提供预测能力。