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Series GSE96689 Query DataSets for GSE96689
Status Public on Jul 09, 2017
Title RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation.
Organisms Homo sapiens; human gammaherpesvirus 4
Experiment type Expression profiling by high throughput sequencing
Summary The stepwise and sequential expression of viral genes underlies progression of the infectious life cycle. The Epstein-Barr virus (EBV) is both a tractable model for elucidating principles of transcription as well as a global health threat. We describe an experimental protocol and bioinformatics pipeline for functional identification of EBV true late genes, the last step of transcription prior to virion packaging and egress. All data have been uploaded to the Gene Expression Omnibus under accession code GSE96689. The key improvement over previous approaches is leveraging the sensitivity of RNA-seq to detect gene expression changes during spontaneous reactivation.
 
Overall design Examination of late gene expression in 2 cell types after acyclovir treatment.

Please note that the wig files are a slightly modified format in that they display a viral genome not available as a chromosome on the UCSC genome browser. The wig files are readable by the IGV browser (as described in the associated publication).
 
Contributor(s) Miranda J, Martinez D
Citation(s) 28560170
Submission date Mar 16, 2017
Last update date May 15, 2019
Contact name JJ Miranda
E-mail(s) jmiranda@barnard.edu
Organization name Barnard College, Columbia University
Street address 3009 Broadway
City New York
ZIP/Postal code 10027
Country USA
 
Platforms (1)
GPL23185 Illumina HiSeq 2500 (Homo sapiens; Human gammaherpesvirus 4)
Samples (12)
GSM2538368 mutui_acy_replicate1
GSM2538369 mutui_acy_replicate2
GSM2538370 mutui_acy_replicate3
Relations
BioProject PRJNA379377
SRA SRP101998

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE96689_RAW.tar 11.2 Mb (http)(custom) TAR (of WIG)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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