Department of Biosystems Science and Engineering, ETH Zurich, Basel 4058, Switzerland; SIB Swiss Institute of Bioinformatics, Basel 4058, Switzerland.
Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland.
Cell Rep. 2018 Apr 24;23(4):942-950. doi: 10.1016/j.celrep.2018.03.102.
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.
尽管有有效的治疗方法，但 HIV 可以潜伏在储库中，这是 HIV 根除的主要障碍。由于受感染细胞的异质性，靶向和激活潜伏细胞具有挑战性。在这里，我们使用 HIV 潜伏的原代模型和单细胞 RNA 测序来描述 HIV 潜伏和再激活过程中的转录异质性。我们的分析确定了导致 HIV 表达成功再激活的转录程序。
