| Literature DB >> 32990219 |
Jason Neidleman1,2, Xiaoyu Luo1, Julie Frouard1,2, Guorui Xie1,2, Feng Hsiao1,2, Tongcui Ma1,2, Vincent Morcilla3, Ashley Lee3, Sushama Telwatte4, Reuben Thomas1, Whitney Tamaki5, Benjamin Wheeler5, Rebecca Hoh6, Ma Somsouk7, Poonam Vohra8, Jeffrey Milush5, Katherine Sholtis James9, Nancie M Archin9, Peter W Hunt10, Steven G Deeks6, Steven A Yukl4, Sarah Palmer3, Warner C Greene1,5, Nadia R Roan1,2.
Abstract
The latent reservoir is a major barrier to HIV cure. As latently infected cells cannot be phenotyped directly, the features of the in vivo reservoir have remained elusive. Here, we describe a method that leverages high-dimensional phenotyping using CyTOF to trace latently infected cells reactivated ex vivo to their original pre-activation states. Our results suggest that, contrary to common assumptions, the reservoir is not randomly distributed among cell subsets, and is remarkably conserved between individuals. However, reservoir composition differs between tissues and blood, as do cells successfully reactivated by different latency reversing agents. By selecting 8-10 of our 39 original CyTOF markers, we were able to isolate highly purified populations of unstimulated in vivo latent cells. These purified populations were highly enriched for replication-competent and intact provirus, transcribed HIV, and displayed clonal expansion. The ability to isolate unstimulated latent cells from infected individuals enables previously impossible studies on HIV persistence.Entities:
Keywords: CyTOF; HIV; clonal expansion; human; infectious disease; microbiology; replication-competent reservoir; tissues; virus
Mesh:
Year: 2020 PMID: 32990219 PMCID: PMC7524554 DOI: 10.7554/eLife.60933
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.140