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

Basic information
Cell
384
Sample
387

Technology
10X Genomics
Omics
scRNA-seq
Source
PBMCs

Dataset ID
29694901
Platform
Illumina HiSeq 2500
Species
Human
Disease
HIV infection
Age range
0 - 0
Update date
2018-04-24
Summary

Despite effective treatment, HIV can persist in latent reservoirs, which represent a major obstacle toward 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.

Overall design

overall_design too long too uplode

Contributors

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Contact

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snRNA-Seq
Sample nameSample titleDiseaseGenderAgeSourceTreatmentTechnologyPlatformOmicsSample IDDataset IDAction
No data available