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Phenotypic analysis of the unstimulated in vivo HIV CD4 T cell reservoir

Authors :
Jason Neidleman
Xiaoyu Luo
Julie Frouard
Guorui Xie
Feng Hsiao
Tongcui Ma
Vincent Morcilla
Ashley Lee
Sushama Telwatte
Reuben Thomas
Whitney Tamaki
Benjamin Wheeler
Rebecca Hoh
Ma Somsouk
Poonam Vohra
Jeffrey Milush
Katherine Sholtis James
Nancie M Archin
Peter W Hunt
Steven G Deeks
Steven A Yukl
Sarah Palmer
Warner C Greene
Nadia R Roan
Source :
eLife, Vol 9 (2020)
Publication Year :
2020
Publisher :
eLife Sciences Publications Ltd, 2020.

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.

Details

Language :
English
ISSN :
2050084X
Volume :
9
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.498edfb6f058495dafa1f755ce519293
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.60933