Single-Cell RNA-Seq Reveals Transcriptional Heterogeneity in Latent and Reactivated HIV-Infected Cells.
Monica Golumbeanu, Sara Cristinelli, Sylvie Rato, Miguel Munoz, Matthias Cavassini, Niko Beerenwinkel, Angela Ciuffi
Author Information
- Monica Golumbeanu: Department of Biosystems Science and Engineering, ETH Zurich, Basel 4058, Switzerland; SIB Swiss Institute of Bioinformatics, Basel 4058, Switzerland.
- Sara Cristinelli: Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland.
- Sylvie Rato: Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland.
- Miguel Munoz: Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland.
- Matthias Cavassini: Service of Infectious Diseases, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland.
- Niko Beerenwinkel: Department of Biosystems Science and Engineering, ETH Zurich, Basel 4058, Switzerland; SIB Swiss Institute of Bioinformatics, Basel 4058, Switzerland. Electronic address: niko.beerenwinkel@bsse.ethz.ch.
- Angela Ciuffi: Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland. Electronic address: angela.ciuffi@chuv.ch.
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.
Female
Gene Expression Regulation, Viral
HIV Infections
HIV-1
Humans
Male
Sequence Analysis, RNA
Virus Activation
Virus Latency
