Quantitative and Qualitative RNA-Seq-based Evaluation of Epstein-Barr Virus Transcription in Type I Latency Burkitt's Lymphoma Cells

Overview

Journal J Virol

Publisher American Society for Microbiology

Date 2010 Oct 15

PMID 20943983

Citations 34

Authors

Zhen Lin

Guorong Xu

Nan Deng

Christopher Taylor

Dongxiao Zhu

Erik K Flemington

Affiliations

Soon will be listed here.

Abstract

RNA-seq provides a rich source of transcriptome information with high qualitative and quantitative value. Here, we provide a pipeline for Epstein-Barr virus (EBV) transcriptome analysis using RNA-seq and we apply it to two type I latency cell lines, Mutu I and Akata. This analysis revealed substantial average expression levels of many lytic genes in predominantly latent cell populations. The lytic transcripts BHLF1 and LF3 were expressed at levels greater than those for 98% of all cellular polyadenylated transcripts. Exon junction mapping accurately identified the Qp-derived EBNA1 splicing pattern, lytic gene splicing, and a complex splicing pattern within the BamHI A region.

Citing Articles

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