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Quantifying the clonality and dynamics of the within-host HIV-1 latent reservoir
Among people living with human immunodeficiency virus type 1 (HIV-1), the long-term persistence of a population of cells carrying transcriptionally silent integrated viral DNA (provirus) remains the primary barrier to developing an effective cure. Ongoing cell division via proliferation is generally...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816690/ https://www.ncbi.nlm.nih.gov/pubmed/33505711 http://dx.doi.org/10.1093/ve/veaa104 |
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author | Ferreira, Roux-Cil Prodger, Jessica L Redd, Andrew D Poon, Art F Y |
author_facet | Ferreira, Roux-Cil Prodger, Jessica L Redd, Andrew D Poon, Art F Y |
author_sort | Ferreira, Roux-Cil |
collection | PubMed |
description | Among people living with human immunodeficiency virus type 1 (HIV-1), the long-term persistence of a population of cells carrying transcriptionally silent integrated viral DNA (provirus) remains the primary barrier to developing an effective cure. Ongoing cell division via proliferation is generally considered to be the driving force behind the persistence of this latent HIV-1 reservoir. The contribution of this mechanism (clonal expansion) is supported by the observation that proviral sequences sampled from the reservoir are often identical. This outcome is quantified as the ‘clonality’ of the sample population, e.g. the fraction of provirus sequences observed more than once. However, clonality as a quantitative measure is inconsistently defined and its statistical properties are not well understood. In this Reflections article, we use mathematical and phylogenetic frameworks to formally examine the inherent problems of using clonality to characterize the dynamics and proviral composition of the reservoir. We describe how clonality is not adequate for this task due to the inherent complexity of how infected cells are ‘labeled’ by proviral sequences—the outcome of a sampling process from the evolutionary history of active viral replication before treatment—as well as variation in cell birth and death rates among lineages and over time. Lastly, we outline potential directions in statistical and phylogenetic research to address these issues. |
format | Online Article Text |
id | pubmed-7816690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-78166902021-01-26 Quantifying the clonality and dynamics of the within-host HIV-1 latent reservoir Ferreira, Roux-Cil Prodger, Jessica L Redd, Andrew D Poon, Art F Y Virus Evol Reflections Among people living with human immunodeficiency virus type 1 (HIV-1), the long-term persistence of a population of cells carrying transcriptionally silent integrated viral DNA (provirus) remains the primary barrier to developing an effective cure. Ongoing cell division via proliferation is generally considered to be the driving force behind the persistence of this latent HIV-1 reservoir. The contribution of this mechanism (clonal expansion) is supported by the observation that proviral sequences sampled from the reservoir are often identical. This outcome is quantified as the ‘clonality’ of the sample population, e.g. the fraction of provirus sequences observed more than once. However, clonality as a quantitative measure is inconsistently defined and its statistical properties are not well understood. In this Reflections article, we use mathematical and phylogenetic frameworks to formally examine the inherent problems of using clonality to characterize the dynamics and proviral composition of the reservoir. We describe how clonality is not adequate for this task due to the inherent complexity of how infected cells are ‘labeled’ by proviral sequences—the outcome of a sampling process from the evolutionary history of active viral replication before treatment—as well as variation in cell birth and death rates among lineages and over time. Lastly, we outline potential directions in statistical and phylogenetic research to address these issues. Oxford University Press 2021-01-06 /pmc/articles/PMC7816690/ /pubmed/33505711 http://dx.doi.org/10.1093/ve/veaa104 Text en © The Author(s) 2021. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Reflections Ferreira, Roux-Cil Prodger, Jessica L Redd, Andrew D Poon, Art F Y Quantifying the clonality and dynamics of the within-host HIV-1 latent reservoir |
title | Quantifying the clonality and dynamics of the within-host HIV-1 latent reservoir |
title_full | Quantifying the clonality and dynamics of the within-host HIV-1 latent reservoir |
title_fullStr | Quantifying the clonality and dynamics of the within-host HIV-1 latent reservoir |
title_full_unstemmed | Quantifying the clonality and dynamics of the within-host HIV-1 latent reservoir |
title_short | Quantifying the clonality and dynamics of the within-host HIV-1 latent reservoir |
title_sort | quantifying the clonality and dynamics of the within-host hiv-1 latent reservoir |
topic | Reflections |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816690/ https://www.ncbi.nlm.nih.gov/pubmed/33505711 http://dx.doi.org/10.1093/ve/veaa104 |
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