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Series GSE212463 Query DataSets for GSE212463
Status Public on Nov 01, 2023
Title HIV-1 latent infection triggers broader transcriptional changes in protein-coding and long non-coding RNAs than active infection of SupT1 cells (RNA-Seq)
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Latent HIV-1 infection poses a major challenge in complete viral remission and cure. HIV-1 latency is a multi-dimensional, dynamic process and many aspects of how the viral latency is established and maintained still remains incompletely characterized. Here, we have investigated the host chromatin organization and transcriptomic changes in active- and latently-infected SupT1 cells. We employed an in vitro model of HIV-1 latency in SupT1 cells using a dual-reporter virus, HIVGKO, which enables high purity sorting and characterization of active- and latently-infected cells. We found a significant divergence in chromatin organization and gene expression pattern between active and latent infection compared to uninfected cells. Latent infection results in a repressive reorganization of the host chromatin, while active infection leads to an overall increase in chromatin accessibility. A stronger correlation was also observed between chromatin accessibility and gene expression in latent infection, which was manifested in a greater alteration of the cellular transcriptome in latent than active infection, for both proteincoding and long-non-coding RNAs (lncRNAs). We identified a number of novel lncRNAs associated with either active and latent infection. A reversal in expression pattern of latency-associated lncRNAs following PMA-induced reactivation indicated their infection state-specific expression and potential roles in HIV-1 latency. Taken together, this integrated, comparative study revealed that latent HIV-1 infection requires a substantially greater alteration in cellular epigenome and transcriptome. Understanding of the distinct cellular states conducive to active and latent infection may support devising strategies for specific modulation of host cellular functions as a curative intervention for HIV-1.
 
Overall design Four days post-infection (dpi), HIV GKO-infected SupT1 cells were flow sorted into the two populations: active (mKO2+GFP+) and latent (mKO2+GFP-) HIV-1- infected cells. RNA-sequencing was performed with total cellular RNA extracted from the flow-sorted uninfected, active- and latently infected SupT1 cells from two independent experiments.
 
Contributor(s) Lê-Bury G, Chen Y, Rhen JM, Grenier JK, Singhal A, Russell DG, Boliar S
Citation(s) 38038477
Submission date Aug 31, 2022
Last update date Feb 06, 2024
Contact name Gabrielle Lê-Bury
E-mail(s) [email protected]
Organization name Cornell University
Street address 930 campus road
City Ithaca
ZIP/Postal code 14850
Country USA
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (6)
GSM6533110 SupT1, Uninfected, rep1
GSM6533111 SupT1, Uninfected, rep2
GSM6533112 SupT1, Active-infected, rep1
This SubSeries is part of SuperSeries:
GSE212464 HIV-1 latent infection triggers broader transcriptional changes in protein-coding and long non-coding RNAs than active infection of SupT1 cells
Relations
BioProject PRJNA875465

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Supplementary file Size Download File type/resource
GSE212463_SupT1_GKO_RNAseq_GeneCounts.txt.gz 420.4 Kb (ftp)(http) TXT
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