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Series GSE157189 Query DataSets for GSE157189
Status Public on Jun 30, 2021
Title Characterization of the epitranscriptomic landscape of HIV-infected cells II
Organism Human immunodeficiency virus
Experiment type Methylation profiling by high throughput sequencing
Summary In this study, we used a productive HIV infection model, consisting of the CD4+ SupT1 T cell line infected with a VSV-G pseudotyped HIVeGFP-based vector, to explore the transcriptomic and m6A/m5C epitranscriptomic lansdcape upon HIV infection, and compare it to mock-treated cells at 12h, 24h, and 36h post infection.
 
Overall design SupT1 cells were either infected with 1 µg/10^6 cells p24 equivalent of HIV_GFP virus or left uninfected, divided into aliquots of 5*106 cells/ tube and spinoculated for 90 minutes at 1500 g and 20°C to allow nearly universal infection. Cells were then resuspended at a concentration of 10^6 cells/ml and further incubated. At 12, 24 and 36h post–infection, RNA was extracted from each cellular sample and virus-containing supernatant and further processed for RNA-Seq to investigate gene expression, MeRIP-Seq and BS-Seq to investigate m6A and m5C epitranscriptomic marks.
 
Contributor(s) Cristinelli S, Angelino P, Janowczyk A, Delorenzi M, Ciuffi A
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Submission date Aug 31, 2020
Last update date Jul 02, 2021
Contact name Paolo Angelino
E-mail(s) paolo.angelino@unil.ch, paolo.angelino@sib.swiss
Organization name SIB Swiss Institute of Bioinformatics
Department BCF
Street address Quartier Sorge, Bâtiment Génopode
City Lausanne
ZIP/Postal code 1015
Country Switzerland
 
Platforms (1)
GPL26648 Illumina HiSeq 2000 (Human immunodeficiency virus)
Samples (9)
GSM4758518 v_12b_s_bc
GSM4758519 v_12_c_bc
GSM4758520 v_12_s_bc
This SubSeries is part of SuperSeries:
GSE157193 Characterization of the epitranscriptomic landscape of HIV-infected cells
Relations
BioProject PRJNA660417
SRA SRP279447

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
GSE157189_RAW.tar 360.0 Kb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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