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      RNA Sequencing Analyses of Gene Expression during Epstein-Barr Virus Infection of Primary B Lymphocytes

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          Abstract

          Epstein-Barr virus (EBV) immortalization of resting B lymphocytes (RBLs) is a useful model system to study EBV oncogenesis. By incorporating transcriptome sequencing (RNA-seq), chromatin immune precipitation followed by deep sequencing (ChIP-seq), chromatin interaction analysis followed by paired-end tag sequencing (ChIA-PET), and genome-wide clustered regularly interspaced short palindromic repeat (CRISPR) screen, we identified key pathways that EBV usurps to enable B cell growth and transformation. Multiple layers of regulation could be achieved by cooperations between multiple EBV transcription factors binding to the same enhancers. EBV manipulated the expression of most cell genes essential for lymphoblastoid cell line (LCL) growth and survival. In addition to proteins, long noncoding RNAs (lncRNAs) regulated by EBV also contributed to LCL growth and survival. The data presented in this paper not only allowed us to further define the molecular pathogenesis of EBV but also serve as a useful resource to the EBV research community.

          ABSTRACT

          Epstein-Barr virus (EBV) infection of human primary resting B lymphocytes (RBLs) leads to the establishment of lymphoblastoid cell lines (LCLs) that can grow indefinitely in vitro. EBV transforms RBLs through the expression of viral latency genes, and these genes alter host transcription programs. To globally measure the transcriptome changes during EBV transformation, primary human resting B lymphocytes (RBLs) were infected with B95.8 EBV for 0, 2, 4, 7, 14, 21, and 28 days, and poly(A) plus RNAs were analyzed by transcriptome sequencing (RNA-seq). Analyses of variance (ANOVAs) found 3,669 protein-coding genes that were differentially expressed (false-discovery rate [FDR] < 0.01). Ninety-four percent of LCL genes that are essential for LCL growth and survival were differentially expressed. Pathway analyses identified a significant enrichment of pathways involved in cell proliferation, DNA repair, metabolism, and antiviral responses. RNA-seq also identified long noncoding RNAs (lncRNAs) differentially expressed during EBV infection. Clustered regularly interspaced short palindromic repeat (CRISPR) interference (CRISPRi) and CRISPR activation (CRISPRa) found that CYTOR and NORAD lncRNAs were important for LCL growth. During EBV infection, type III EBV latency genes were expressed rapidly after infection. Immediately after LCL establishment, EBV lytic genes were also expressed in LCLs, and ∼4% of the LCLs express gp350. Chromatin immune precipitation followed by deep sequencing (ChIP-seq) and POLR2A chromatin interaction analysis followed by paired-end tag sequencing (ChIA-PET) data linked EBV enhancers to 90% of EBV-regulated genes. Many genes were linked to enhancers occupied by multiple EBNAs or NF-κB subunits. Incorporating these assays, we generated a comprehensive EBV regulome in LCLs.

          IMPORTANCE Epstein-Barr virus (EBV) immortalization of resting B lymphocytes (RBLs) is a useful model system to study EBV oncogenesis. By incorporating transcriptome sequencing (RNA-seq), chromatin immune precipitation followed by deep sequencing (ChIP-seq), chromatin interaction analysis followed by paired-end tag sequencing (ChIA-PET), and genome-wide clustered regularly interspaced short palindromic repeat (CRISPR) screen, we identified key pathways that EBV usurps to enable B cell growth and transformation. Multiple layers of regulation could be achieved by cooperations between multiple EBV transcription factors binding to the same enhancers. EBV manipulated the expression of most cell genes essential for lymphoblastoid cell line (LCL) growth and survival. In addition to proteins, long noncoding RNAs (lncRNAs) regulated by EBV also contributed to LCL growth and survival. The data presented in this paper not only allowed us to further define the molecular pathogenesis of EBV but also serve as a useful resource to the EBV research community.

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          Author and article information

          Contributors
          Role: Editor
          Journal
          J Virol
          J. Virol
          jvi
          jvi
          JVI
          Journal of Virology
          American Society for Microbiology (1752 N St., N.W., Washington, DC )
          0022-538X
          1098-5514
          24 April 2019
          14 June 2019
          1 July 2019
          : 93
          : 13
          : e00226-19
          Affiliations
          [a ] Division of Infectious Disease, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
          [b ] State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
          [c ] Department of Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
          [d ] Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
          Northwestern University
          Author notes
          Address correspondence to Mingxiang Teng, Mingxiang.teng@ 123456moffitt.org , or Bo Zhao, bzhao@ 123456bwh.harvard.edu .

          Citation Wang C, Li D, Zhang L, Jiang S, Liang J, Narita Y, Hou I, Zhong Q, Zheng Z, Xiao H, Gewurz BE, Teng M, Zhao B. 2019. RNA sequencing analyses of gene expression during Epstein-Barr virus infection of primary B lymphocytes. J Virol 93:e00226-19. https://doi.org/10.1128/JVI.00226-19.

          Author information
          https://orcid.org/0000-0002-8867-3669
          https://orcid.org/0000-0002-8536-8941
          https://orcid.org/0000-0002-8612-5597
          Article
          PMC6580941 PMC6580941 6580941 00226-19
          10.1128/JVI.00226-19
          6580941
          31019051
          ba42d145-c201-471d-ac8a-b17d7e69cac6
          Copyright © 2019 American Society for Microbiology.

          All Rights Reserved.

          History
          : 8 February 2019
          : 5 April 2019
          Page count
          supplementary-material: 8, Figures: 6, Tables: 3, Equations: 0, References: 65, Pages: 15, Words: 8611
          Funding
          Funded by: HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID), https://doi.org/10.13039/100000060;
          Award ID: AI137337
          Award Recipient :
          Funded by: HHS | NIH | National Cancer Institute (NCI), https://doi.org/10.13039/100000054;
          Award ID: CA047006
          Award Recipient :
          Funded by: HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID), https://doi.org/10.13039/100000060;
          Award ID: AI123420
          Award Recipient :
          Categories
          Virus-Cell Interactions
          Custom metadata
          July 2019

          EBNA,RNA-seq,ChIP-seq,EBV,ChIA-PET,lncRNA
          EBNA, RNA-seq, ChIP-seq, EBV, ChIA-PET, lncRNA

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