Dataset features

Specifications


Application: RNA-seq analysis
Number of samples: 387
Release date: Mar 13 2018
Last update date: Nov 28 2018
Access: Public
Diseases: HIV Infections
Dataset link Single-Cell RNA-Seq Reveals Transcriptional Heterogeneity in Latent and Reactivated HIV-infected Cells

Experimental Protocol


Human primary CD4+ T-cells were infected, cultured, and maintained in a resting, latent phenotype in order to generate a primary model of HIV latency. Latently infected cells were either left untreated, or exposed to SAHA or TCR stimulation, followed by single-cell isolation and single-cell RNA-seq (scRNA-Seq) analysis. Bulk RNA-Seq experiments were also performed as control. To validate the observed cellular heterogeneity in the primary model of HIV latency, we used primary CD4+ T cells isolated from HIV+ individuals. As for the primary HIV latency model, resting cells from HIV+ individuals were either not treated or TCR-treated before single cell isolation and single-cell RNA-Seq.

Repositories


GEO

GSE111727

ENA

SRP134967

BioProject

PRJNA437966

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Contact


Monica Golumbeanu