Single-Cell RNA-Seq Reveals Transcriptional Heterogeneity in Latent and Reactivated HIV-infected Cells
Updated September 30, 2021Despite 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.
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Atlas
Analysis Portals
NoneProject Label
TranscriptionalHeterogeneityInLatentAndReactivatedHivInfectedCellsSpecies
Homo sapiens
Sample Type
specimens
Anatomical Entity
blood
Organ Part
venous blood
Selected Cell Types
T cell
Disease Status (Specimen)
Disease Status (Donor)
Development Stage
human adult stage
Library Construction Method
Fluidigm C1-based library preparation
Nucleic Acid Source
single cell
Paired End
falseFile Format
Cell Count Estimate
224Donor Count
3