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

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...

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Autores principales: Neidleman, Jason, Luo, Xiaoyu, Frouard, Julie, Xie, Guorui, Hsiao, Feng, Ma, Tongcui, Morcilla, Vincent, Lee, Ashley, Telwatte, Sushama, Thomas, Reuben, Tamaki, Whitney, Wheeler, Benjamin, Hoh, Rebecca, Somsouk, Ma, Vohra, Poonam, Milush, Jeffrey, James, Katherine Sholtis, Archin, Nancie M, Hunt, Peter W, Deeks, Steven G, Yukl, Steven A, Palmer, Sarah, Greene, Warner C, Roan, Nadia R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524554/
https://www.ncbi.nlm.nih.gov/pubmed/32990219
http://dx.doi.org/10.7554/eLife.60933
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author Neidleman, Jason
Luo, Xiaoyu
Frouard, Julie
Xie, Guorui
Hsiao, Feng
Ma, Tongcui
Morcilla, Vincent
Lee, Ashley
Telwatte, Sushama
Thomas, Reuben
Tamaki, Whitney
Wheeler, Benjamin
Hoh, Rebecca
Somsouk, Ma
Vohra, Poonam
Milush, Jeffrey
James, Katherine Sholtis
Archin, Nancie M
Hunt, Peter W
Deeks, Steven G
Yukl, Steven A
Palmer, Sarah
Greene, Warner C
Roan, Nadia R
author_facet Neidleman, Jason
Luo, Xiaoyu
Frouard, Julie
Xie, Guorui
Hsiao, Feng
Ma, Tongcui
Morcilla, Vincent
Lee, Ashley
Telwatte, Sushama
Thomas, Reuben
Tamaki, Whitney
Wheeler, Benjamin
Hoh, Rebecca
Somsouk, Ma
Vohra, Poonam
Milush, Jeffrey
James, Katherine Sholtis
Archin, Nancie M
Hunt, Peter W
Deeks, Steven G
Yukl, Steven A
Palmer, Sarah
Greene, Warner C
Roan, Nadia R
author_sort Neidleman, Jason
collection PubMed
description 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.
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spelling pubmed-75245542020-09-30 Phenotypic analysis of the unstimulated in vivo HIV CD4 T cell reservoir Neidleman, Jason Luo, Xiaoyu Frouard, Julie Xie, Guorui Hsiao, Feng Ma, Tongcui Morcilla, Vincent Lee, Ashley Telwatte, Sushama Thomas, Reuben Tamaki, Whitney Wheeler, Benjamin Hoh, Rebecca Somsouk, Ma Vohra, Poonam Milush, Jeffrey James, Katherine Sholtis Archin, Nancie M Hunt, Peter W Deeks, Steven G Yukl, Steven A Palmer, Sarah Greene, Warner C Roan, Nadia R eLife Microbiology and Infectious Disease 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. eLife Sciences Publications, Ltd 2020-09-29 /pmc/articles/PMC7524554/ /pubmed/32990219 http://dx.doi.org/10.7554/eLife.60933 Text en © 2020, Neidleman et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Microbiology and Infectious Disease
Neidleman, Jason
Luo, Xiaoyu
Frouard, Julie
Xie, Guorui
Hsiao, Feng
Ma, Tongcui
Morcilla, Vincent
Lee, Ashley
Telwatte, Sushama
Thomas, Reuben
Tamaki, Whitney
Wheeler, Benjamin
Hoh, Rebecca
Somsouk, Ma
Vohra, Poonam
Milush, Jeffrey
James, Katherine Sholtis
Archin, Nancie M
Hunt, Peter W
Deeks, Steven G
Yukl, Steven A
Palmer, Sarah
Greene, Warner C
Roan, Nadia R
Phenotypic analysis of the unstimulated in vivo HIV CD4 T cell reservoir
title Phenotypic analysis of the unstimulated in vivo HIV CD4 T cell reservoir
title_full Phenotypic analysis of the unstimulated in vivo HIV CD4 T cell reservoir
title_fullStr Phenotypic analysis of the unstimulated in vivo HIV CD4 T cell reservoir
title_full_unstemmed Phenotypic analysis of the unstimulated in vivo HIV CD4 T cell reservoir
title_short Phenotypic analysis of the unstimulated in vivo HIV CD4 T cell reservoir
title_sort phenotypic analysis of the unstimulated in vivo hiv cd4 t cell reservoir
topic Microbiology and Infectious Disease
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524554/
https://www.ncbi.nlm.nih.gov/pubmed/32990219
http://dx.doi.org/10.7554/eLife.60933
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