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Protein expression from unintegrated HIV-1 DNA introduces bias in primary in vitro post-integration latency models

To understand the persistence of latently HIV-1 infected cells in virally suppressed infected patients, a number of in vitro models of HIV latency have been developed. In an attempt to mimic the in vivo situation as closely as possible, several models use primary cells and replication-competent viru...

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Autores principales: Bonczkowski, Pawel, De Scheerder, Marie-Angélique, Malatinkova, Eva, Borch, Alexandra, Melkova, Zora, Koenig, Renate, De Spiegelaere, Ward, Vandekerckhove, Linos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133580/
https://www.ncbi.nlm.nih.gov/pubmed/27910923
http://dx.doi.org/10.1038/srep38329
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author Bonczkowski, Pawel
De Scheerder, Marie-Angélique
Malatinkova, Eva
Borch, Alexandra
Melkova, Zora
Koenig, Renate
De Spiegelaere, Ward
Vandekerckhove, Linos
author_facet Bonczkowski, Pawel
De Scheerder, Marie-Angélique
Malatinkova, Eva
Borch, Alexandra
Melkova, Zora
Koenig, Renate
De Spiegelaere, Ward
Vandekerckhove, Linos
author_sort Bonczkowski, Pawel
collection PubMed
description To understand the persistence of latently HIV-1 infected cells in virally suppressed infected patients, a number of in vitro models of HIV latency have been developed. In an attempt to mimic the in vivo situation as closely as possible, several models use primary cells and replication-competent viruses in combination with antiretroviral compounds to prevent ongoing replication. Latency is subsequently measured by HIV RNA and/or protein production after cellular activation. To discriminate between pre- and post-integration latency, integrase inhibitors are routinely used, preventing novel integrations upon cellular activation. Here, we show that this choice of antiretrovirals may still cause a bias of pre-integration latency in these models, as unintegrated HIV DNA can form and directly contribute to the levels of HIV RNA and protein production. We further show that the addition of reverse transcriptase inhibitors effectively suppresses the levels of episomal HIV DNA (as measured by 2-LTR circles) and decreases the levels of HIV transcription. Consequently, we show that latency levels described in models that only use integrase inhibitors may be overestimated. The inclusion of additional control conditions, such as 2-LTR quantification and the addition of reverse transcriptase inhibitors, is crucial to fully elucidate the actual levels of post-integration latency.
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spelling pubmed-51335802017-01-27 Protein expression from unintegrated HIV-1 DNA introduces bias in primary in vitro post-integration latency models Bonczkowski, Pawel De Scheerder, Marie-Angélique Malatinkova, Eva Borch, Alexandra Melkova, Zora Koenig, Renate De Spiegelaere, Ward Vandekerckhove, Linos Sci Rep Article To understand the persistence of latently HIV-1 infected cells in virally suppressed infected patients, a number of in vitro models of HIV latency have been developed. In an attempt to mimic the in vivo situation as closely as possible, several models use primary cells and replication-competent viruses in combination with antiretroviral compounds to prevent ongoing replication. Latency is subsequently measured by HIV RNA and/or protein production after cellular activation. To discriminate between pre- and post-integration latency, integrase inhibitors are routinely used, preventing novel integrations upon cellular activation. Here, we show that this choice of antiretrovirals may still cause a bias of pre-integration latency in these models, as unintegrated HIV DNA can form and directly contribute to the levels of HIV RNA and protein production. We further show that the addition of reverse transcriptase inhibitors effectively suppresses the levels of episomal HIV DNA (as measured by 2-LTR circles) and decreases the levels of HIV transcription. Consequently, we show that latency levels described in models that only use integrase inhibitors may be overestimated. The inclusion of additional control conditions, such as 2-LTR quantification and the addition of reverse transcriptase inhibitors, is crucial to fully elucidate the actual levels of post-integration latency. Nature Publishing Group 2016-12-02 /pmc/articles/PMC5133580/ /pubmed/27910923 http://dx.doi.org/10.1038/srep38329 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Bonczkowski, Pawel
De Scheerder, Marie-Angélique
Malatinkova, Eva
Borch, Alexandra
Melkova, Zora
Koenig, Renate
De Spiegelaere, Ward
Vandekerckhove, Linos
Protein expression from unintegrated HIV-1 DNA introduces bias in primary in vitro post-integration latency models
title Protein expression from unintegrated HIV-1 DNA introduces bias in primary in vitro post-integration latency models
title_full Protein expression from unintegrated HIV-1 DNA introduces bias in primary in vitro post-integration latency models
title_fullStr Protein expression from unintegrated HIV-1 DNA introduces bias in primary in vitro post-integration latency models
title_full_unstemmed Protein expression from unintegrated HIV-1 DNA introduces bias in primary in vitro post-integration latency models
title_short Protein expression from unintegrated HIV-1 DNA introduces bias in primary in vitro post-integration latency models
title_sort protein expression from unintegrated hiv-1 dna introduces bias in primary in vitro post-integration latency models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133580/
https://www.ncbi.nlm.nih.gov/pubmed/27910923
http://dx.doi.org/10.1038/srep38329
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