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Series GSE83354 Query DataSets for GSE83354
Status Public on Feb 20, 2021
Title Binding site identification for the Epstein-Barr virus transcription factor Zta in epithelial cells
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary Epstein-Barr virus (EBV) is present in a state of latency in infected memory B-cells and EBV-associated lymphoid and epithelial cancers. Cell stimulation or differentiation of infected B-cells and epithelial cells induces reactivation to the lytic replication cycle. In each cell type, the EBV transcription and replication factor Zta (BZLF1, EB1) plays a role in mediating the lytic cycle of EBV. Zta is a transcription factor that interacts directly with Zta response elements (ZREs) within viral and cellular genomes. Here we undertake chromatin-precipitation coupled to DNA-sequencing (ChIP-Seq) of Zta-associated DNA from cancer-derived epithelial cells. The analysis identified over 14,000 Zta-binding sites in the cellular genome. We assessed the impact of lytic cycle reactivation on changes in gene expression for a panel of Zta-associated cellular genes. Finally, we compared the Zta-binding sites identified in this study with those previously identified in B-cells and reveal substantial conservation in genes associated with Zta-binding sites.
Overall design Input and duplicate Zta ChIP Seq
Contributor(s) Sinclair AJ
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Submission date Jun 14, 2016
Last update date Sep 15, 2021
Contact name Alison Jane Sinclair
Organization name University of Sussex
Department School of Life Sciences
Lab Biochemistry and Bioscience
Street address University of Sussex
City Brighton
State/province E. Sussex
ZIP/Postal code BN1 9QG
Country United Kingdom
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (3)
GSM2200163 Zta_CHIPSeq_1
GSM2200164 Zta_CHIPSeq_2
GSM2200165 Input DNA
Reanalysis of GSE58245
BioProject PRJNA325662
SRA SRP076554

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Supplementary file Size Download File type/resource
GSE83354_HONE1EBV_Zta_peaks_also_in_Akata_BL.bed.gz 18.5 Kb (ftp)(http) BED
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Raw data are available in SRA
Processed data are available on Series record

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