PLX190634

GSE57732: Genomic-scale identification of host genes regulated by EBV during lytic cycle [RNA-Seq]

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Infection of resting primary B-lymphocytes by Epstein Barr virus (EBV) generates a population of cells that are effectively immortal. This represents the first step in the establishment of life-long viral latency in vivo and generates precursors that can develop into the lymphoid malignancies. However, virus spread requires a switch from latency to the lytic replication cycle, a process orchestrated by the virally encoded protein Zta, an AP1-like transcription factor that interacts with a 7 base-pair DNA sequence element. As Zta has the potential to reprogram the patterns of gene expression in the host cell, we undertook global transcriptome analyses (RNA sequencing) in a Burkitts lymphoma derived cell line in which the Zta is expressed from an inducible promoter, mimicking the switch from latency to lytic cycle. We identified 2,263 host genes whose expression levels were altered. In parallel, we performed chromatin precipitation and next-generation DNA sequencing (ChIP-Seq) to identify genes that are direct targets of Zta. Integrating these data sets revealed 277 host genes that appear to be directly regulated by Zta. Surprisingly, the frequency and distribution of the Zta binding peaks suggests that Zta regulates host genes through long-range enhancers, with a median distance of 25.8kb from the transcriptional start site, rather than equivalents of the promoter elements through which Zta regulates viral genes. SOURCE: Alison,Jane,Sinclair (a.j.sinclair@sussex.ac.uk) - Biochemistry and Bioscience University of Sussex

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team