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Series GSE30738 Query DataSets for GSE30738
Status Public on Nov 06, 2011
Title Genome-wide binding map of the HIV Tat protein to the human genome (ChIP-Seq)
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary The HIV-1 Trans-Activator of Transcription (Tat) protein binds to multiple host cellular factors and greatly enhances the level of transcription of the HIV genome. Here, we report the genome-wide binding map of Tat to the human genome in Jurkat T cells (Jurkat-Tat cells) using chromatin immunoprecipitation combined with next-generation sequencing. cDNA microarray was used to monitor gene expression changes between Jurkat and Jurkat-Tat cells. Additionally, we compared distribution of H3K9ac near gene promoters between Jurkat and Jurkat-Tat cells using ChIP-chip method and hybridized onto Agilent promoter array. Our data reveal that Tat’s interaction with the host genome is more extensive than previously thought, with potentially important implications for the viral life cycle.
 
Overall design Expression profiles on Jurkat-Tat cells versus Jurkat cells. ChIP on chip for H3K9ac in Jurkat-Tat versus Jurkat cells. ChIP-seq for HIV-1 Tat protein in Jurkat-Tat cells.
 
Contributor(s) Kurdistani S, Marrban C, Su T
Citation(s) 22073215
Submission date Jul 18, 2011
Last update date May 15, 2019
Contact name Siavash K Kurdistani
E-mail(s) Skurdistani@mednet.ucla.edu
Phone 310-794-5194
Fax 310 206-5272
Organization name University of California Los Angeles
Department Biological Chemistry
Street address 615 Charles E. Young Dr. South, 337
City Los Angeles
State/province CA
ZIP/Postal code 90095
Country USA
 
Platforms (1)
GPL9115 Illumina Genome Analyzer II (Homo sapiens)
Samples (2)
GSM762834 input DNA
GSM762835 Tat ChIP-seq
This SubSeries is part of SuperSeries:
GSE30739 Genome-wide binding map of the HIV Tat protein to the human genome
Relations
SRA SRP007528
BioProject PRJNA154551

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Supplementary file Size Download File type/resource
GSE30738_Jurkat-Tat_cells_Tat_IP_vs_Input_DNA.bed.gz 16.3 Kb (ftp)(http) BED
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Raw data are available in SRA

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