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一种新的与持续性相关的 EBV miRNA 表达谱在肿瘤中被破坏。

A novel persistence associated EBV miRNA expression profile is disrupted in neoplasia.

机构信息

Dept of Pathology, Tufts University School of Medicine, Boston, Massachusetts, United States of America.

出版信息

PLoS Pathog. 2011 Aug;7(8):e1002193. doi: 10.1371/journal.ppat.1002193. Epub 2011 Aug 25.

Abstract

We have performed the first extensive profiling of Epstein-Barr virus (EBV) miRNAs on in vivo derived normal and neoplastic infected tissues. We describe a unique pattern of viral miRNA expression by normal infected cells in vivo expressing restricted viral latency programs (germinal center: Latency II and memory B: Latency I/0). This includes the complete absence of 15 of the 34 miRNAs profiled. These consist of 12 BART miRNAs (including approximately half of Cluster 2) and 3 of the 4 BHRF1 miRNAs. All but 2 of these absent miRNAs become expressed during EBV driven growth (Latency III). Furthermore, EBV driven growth is accompanied by a 5-10 fold down regulation in the level of the BART miRNAs expressed in germinal center and memory B cells. Therefore, Latency III also expresses a unique pattern of viral miRNAs. We refer to the miRNAs that are specifically expressed in EBV driven growth as the Latency III associated miRNAs. In EBV associated tumors that employ Latency I or II (Burkitt's lymphoma, Hodgkin's disease, nasopharyngeal carcinoma and gastric carcinoma), the Latency III associated BART but not BHRF1 miRNAs are up regulated. Thus BART miRNA expression is deregulated in the EBV associated tumors. This is the first demonstration that Latency III specific genes (the Latency III associated BARTs) can be expressed in these tumors. The EBV associated tumors demonstrate very similar patterns of miRNA expression yet were readily distinguished when the expression data were analyzed either by heat-map/clustering or principal component analysis. Systematic analysis revealed that the information distinguishing the tumor types was redundant and distributed across all the miRNAs. This resembles "secret sharing" algorithms where information can be distributed among a large number of recipients in such a way that any combination of a small number of recipients is able to understand the message. Biologically, this may be a consequence of functional redundancy between the miRNAs.

摘要

我们首次对体内来源的正常和肿瘤感染组织中的 EBV 微小 RNA(miRNA)进行了广泛分析。我们描述了体内正常感染细胞表达受限病毒潜伏期程序(生发中心:潜伏 II 和记忆 B:潜伏 I/0)的独特病毒 miRNA 表达模式。这包括完全缺乏 34 个 miRNA 中的 15 个。这些包括 12 个 BART miRNA(包括大约一半的簇 2)和 3 个 BHRF1 miRNA。除了这两个缺失的 miRNA 之外,所有 miRNA 在 EBV 驱动的生长过程中表达(潜伏 III)。此外,EBV 驱动的生长伴随着生发中心和记忆 B 细胞中表达的 BART miRNA 水平降低 5-10 倍。因此,潜伏 III 也表达了一种独特的病毒 miRNA 模式。我们将在 EBV 驱动的生长过程中特异性表达的 miRNA 称为潜伏 III 相关 miRNA。在采用潜伏 I 或 II 的 EBV 相关肿瘤中(伯基特淋巴瘤、霍奇金病、鼻咽癌和胃癌),潜伏 III 相关的 BART 但不是 BHRF1 miRNA 上调。因此,BART miRNA 表达在 EBV 相关肿瘤中失调。这是首次证明潜伏 III 特异性基因(潜伏 III 相关的 BART)可以在这些肿瘤中表达。EBV 相关肿瘤表现出非常相似的 miRNA 表达模式,但当分析表达数据时,无论是通过热图/聚类还是主成分分析,都很容易区分。系统分析显示,区分肿瘤类型的信息是冗余的,并分布在所有 miRNA 中。这类似于“秘密共享”算法,其中信息可以在大量接收者之间以这样一种方式分布,即任何数量的接收者的组合都能够理解消息。从生物学角度来看,这可能是 miRNA 之间功能冗余的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f8f/3161978/800355f2ce07/ppat.1002193.g001.jpg

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