Lu Fang, Chen Horng-Shen, Kossenkov Andrew V, DeWispeleare Karen, Won Kyoung-Jae, Lieberman Paul M
The Wistar Institute, Philadelphia, Pennsylvania, United States of America.
The Institute for Diabetes Obesity and Metabolism, Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
PLoS Pathog. 2016 Jan 11;12(1):e1005339. doi: 10.1371/journal.ppat.1005339. eCollection 2016 Jan.
Epstein-Barr Virus (EBV) transforms resting B-lymphocytes into proliferating lymphoblasts to establish latent infections that can give rise to malignancies. We show here that EBV-encoded transcriptional regulator EBNA2 drives the cooperative and combinatorial genome-wide binding of two master regulators of B-cell fate, namely EBF1 and RBP-jκ. Previous studies suggest that these B-cell factors are statically bound to target gene promoters. In contrast, we found that EBNA2 induces the formation of new binding for both RBP-jκ and EBF1, many of which are in close physical proximity in the cellular and viral genome. These newly induced binding sites co-occupied by EBNA2-EBF1-RBP-jκ correlate strongly with transcriptional activation of linked genes that are important for B-lymphoblast function. Conditional expression or repression of EBNA2 leads to a rapid alteration in RBP-jκ and EBF1 binding. Biochemical and shRNA depletion studies provide evidence for cooperative assembly at co-occupied sites. These findings reveal that EBNA2 facilitate combinatorial interactions to induce new patterns of transcription factor occupancy and gene programming necessary to drive B-lymphoblast growth and survival.
爱泼斯坦-巴尔病毒(EBV)将静止的B淋巴细胞转化为增殖的淋巴母细胞,以建立可能引发恶性肿瘤的潜伏感染。我们在此表明,EBV编码的转录调节因子EBNA2驱动B细胞命运的两个主要调节因子EBF1和RBP-jκ在全基因组范围内的协同和组合结合。先前的研究表明,这些B细胞因子静态地结合在靶基因启动子上。相比之下,我们发现EBNA2诱导RBP-jκ和EBF1形成新的结合,其中许多在细胞和病毒基因组中在物理位置上紧密相邻。这些由EBNA2-EBF1-RBP-jκ共同占据的新诱导结合位点与对B淋巴母细胞功能重要的相关基因的转录激活密切相关。EBNA2的条件性表达或抑制导致RBP-jκ和EBF1结合的快速改变。生化和shRNA缺失研究为在共同占据位点的协同组装提供了证据。这些发现揭示,EBNA2促进组合相互作用,以诱导驱动B淋巴母细胞生长和存活所需的转录因子占据新模式和基因编程。