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Single-Cell RNA-Seq Reveals Transcriptional Heterogeneity in Latent and Reactivated HIV-Infected Cells
Author(s) -
Monica Golumbeanu,
Sara Cristinelli,
Sylvie Rato,
Miguel Muñoz,
Matthias Cavassini,
Niko Beerenwinkel,
Angela Ciuffi
Publication year - 2018
Publication title -
cell reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.264
H-Index - 154
eISSN - 2639-1856
pISSN - 2211-1247
DOI - 10.1016/j.celrep.2018.03.102
Subject(s) - biology , rna , human immunodeficiency virus (hiv) , virus latency , latency (audio) , cell , computational biology , virology , lentivirus , genetics , gene , virus , viral replication , viral disease , computer science , telecommunications
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.

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