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.
