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Series GSE273898 Query DataSets for GSE273898
Status Public on Aug 07, 2024
Title Transcriptional profiling of antigen-responding CD4 T cells from PLWH to antigenic stimulation or global T cell activation
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Despite antiretroviral therapy (ART), HIV-1 persists in latently-infected CD4+ T cells, preventing cure. Antigen (Ag) drives proliferation of infected cells, preventing latent reservoir decay. However, the relationship between antigen recognition and HIV-1 gene expression is poorly understood since most studies of latency reversal use agents that induce non-specific global T cell activation. Here, we isolated rare CD4+ T cells responding to cytomegalovirus (CMV) or HIV-1 Gag antigens from participants on long-term ART and assessed T cell activation and HIV-1 RNA expression upon co-culture with autologous dendritic cells (DCs) presenting cognate antigens. Physiological presentation of cognate antigens induced broad T cell activation (median 42-fold increase in CD154+CD69+ cells) and significantly increased HIV-1 transcription (median 4-fold), mostly through the induction of rare cells with higher viral expression. Thus, despite low proviral inducibility, physiologic antigen recognition can promote HIV-1 expression, potentially contributing to spontaneous reservoir activity on ART and viral rebound upon ART interruption. Additionally, we observed striking differences in the transcriptome profiles of Ag-responding CD4+ T cells after stimulations with Ag or global T cell activators. This analysis revealed quantitative differences between NFAT and NFkB target genes and may guide future approaches to Ag-mediated HIV-1 latency reversal.
 
Overall design Gene expression profiling analysis was performed by using RNA-seq data from 6 study participants with each study participant having antigenic stimlation and global T cell activating treatment.
 
Contributor(s) Moskovljevic M, Simonetti FR, Siliciano RF, White JR
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BioProject PRJNA1126650
Submission date Aug 02, 2024
Last update date Aug 07, 2024
Contact name Milica Moskovljevic
E-mail(s) mmoskov2@jhmi.edu
Organization name Johns Hopkins University
Department School of Medicine
Lab Siliciano Lab
Street address 733 N Baltimore St, Miller Research Building
City Baltimore
State/province Maryland
ZIP/Postal code 21224
Country USA
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (31)
GSM8438870 P7_CD4only_PMAI
GSM8438871 P7_CD4only_CD3CD28
GSM8438872 P7_CD4only_NoTx

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Supplementary file Size Download File type/resource
GSE273898_moskovljevic_et_al_raw_counts.xlsx 17.9 Mb (ftp)(http) XLSX
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Raw data are available in SRA

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