首页> 美国卫生研究院文献>PLoS Clinical Trials >Investigating genetic-and-epigenetic networks, and the cellular mechanisms occurring in Epstein–Barr virus-infected human B lymphocytes via big data mining and genome-wide two-sided NGS data identification
【2h】

Investigating genetic-and-epigenetic networks, and the cellular mechanisms occurring in Epstein–Barr virus-infected human B lymphocytes via big data mining and genome-wide two-sided NGS data identification

机译:通过大数据挖掘和全基因组双面NGS数据调查研究遗传和表观遗传网络以及在爱泼斯坦-巴尔病毒感染的人B淋巴细胞中发生的细胞机制

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Epstein–Barr virus (EBV), also known as human herpesvirus 4, is prevalent in all human populations. EBV mainly infects human B lymphocytes and epithelial cells, and is therefore associated with their various malignancies. To unravel the cellular mechanisms during the infection, we constructed interspecies networks to investigate the molecular cross-talk mechanisms between human B cells and EBV at the first (0–24 hours) and second (8–72 hours) stages of EBV infection. We first constructed a candidate genome-wide interspecies genetic-and-epigenetic network (the candidate GIGEN) by big database mining. We then pruned false positives in the candidate GIGEN to obtain the real GIGENs at the first and second infection stages in the lytic phase by their corresponding next-generation sequencing data through dynamic interaction models, the system identification approach, and the system order detection method. The real GIGENs are very complex and comprise protein–protein interaction networks, gene/microRNA (miRNA)/long non-coding RNA regulation networks, and host–virus cross-talk networks. To understand the molecular cross-talk mechanisms underlying EBV infection, we extracted the core GIGENs including host–virus core networks and host–virus core pathways from the real GIGENs using the principal network projection method. According to the results, we found that the activities of epigenetics-associated human proteins or genes were initially inhibited by viral proteins and miRNAs, and human immune responses were then dysregulated by epigenetic modification. We suggested that EBV exploits viral proteins and miRNAs, such as EBNA1, BPLF1, BALF3, BVRF1 and miR-BART14, to develop its defensive mechanism to defeat multiple immune attacks by the human immune system, promotes virion production, and facilitates the transportation of viral particles by activating the human genes NRP1 and CLIC5. Ultimately, we propose a therapeutic intervention comprising thymoquinone, valpromide, and zebularine to act as inhibitors of EBV-associated malignancies.
机译:爱泼斯坦-巴尔病毒(EBV),也称为人类疱疹病毒4,在所有人群中都盛行。 EBV主要感染人B淋巴细胞和上皮细胞,因此与其各种恶性肿瘤有关。为了揭示感染过程中的细胞机制,我们建立了种间网络,以研究人类B细胞在EBV感染的第一阶段(0-24小时)和第二阶段(8-72小时)与EBV之间的分子串扰机制。我们首先通过大数据库挖掘构建了一个候选全基因组种间遗传表生遗传网络(候选GIGEN)。然后,我们通过动态交互模型,系统识别方法和系统顺序检测方法,在候选GIGEN中修剪假阳性,以通过相应的下一代测序数据在裂解阶段的第一和第二感染阶段获得真实的GIGEN。真正的GIGEN非常复杂,包括蛋白质-蛋白质相互作用网络,基因/微RNA(miRNA)/长非编码RNA调控网络以及宿主-病毒串扰网络。为了了解EBV感染的分子相互作用机制,我们使用主网络投影方法从真实的GIGEN中提取了核心GIGEN,包括宿主-病毒核心网络和宿主-病毒核心途径。根据结果​​,我们发现表观遗传学相关的人类蛋白质或基因的活性最初被病毒蛋白质和miRNA抑制,然后人类免疫反应由于表观遗传修饰而失调。我们建议EBV利用病毒蛋白和miRNA,例如EBNA1,BPLF1,BALF3,BVRF1和miR-BART14,来开发其防御机制,以击败人类免疫系统的多种免疫攻击,促进病毒体的产生,并促进病毒的运输通过激活人类基因NRP1和CLIC5产生颗粒。最终,我们提出了一种治疗性干预措施,其中应包括胸腺醌,丙戊酰胺和zebularine作为与EBV相关的恶性肿瘤的抑制剂。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号