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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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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. |
format | Online Article Text |
id | pubmed-7524554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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