HCA Data Explorer

Single-Cell RNA-Seq Reveals Transcriptional Heterogeneity in Latent and Reactivated HIV-infected Cells

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Updated September 30, 2021

Despite effective treatment, HIV can persist in latent reservoirs, which represent a major obstacle towards HIV eradication. Targeting and reactivating latent cells is challenging due to the heterogeneous nature of HIV infected cells. Here, we used a primary model of HIV latency and single-cell RNA sequencing to characterize transcriptional heterogeneity during HIV latency and reactivation. Our analysis identified transcriptional programs leading to successful reactivation of HIV expression. We further validated our results using primary CD4+ T cells isolated from HIV+ individuals.

Monica GolumbeanuETH Zürichmonica.golumbeanu@bsse.ethz.ch
Monica Golumbeanu (Experimental Scientist)1
1ETH Zürich
Teresa Marquez

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/eaefa1b6-dae1-4414-953b-17b0427d061e

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

INSDC Project Accessions:GEO Series Accessions:INSDC Study Accessions:

Analysis Portals

None

Project Label

TranscriptionalHeterogeneityInLatentAndReactivatedHivInfectedCells

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

blood

Organ Part

venous blood

Selected Cell Types

T cell

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

2 disease statuses

Development Stage

human adult stage

Library Construction Method

Fluidigm C1-based library preparation

Nucleic Acid Source

single cell

Paired End

false

File Format

2 file formats

Cell Count Estimate

224

Donor Count

3
fastq.gz384 file(s)txt.gz5 file(s)