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Tracking HIV-1-Infected Cell Clones Using Integration Site-Specific qPCR

Efforts to cure HIV-1 infection require better quantification of the HIV-1 reservoir, particularly the clones of cells harboring replication-competent (intact) proviruses, termed repliclones. The digital droplet PCR assays commonly used to quantify intact proviruses do not differentiate among specif...

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Autores principales: Brandt, Leah D., Guo, Shuang, Joseph, Kevin W., Jacobs, Jana L., Naqvi, Asma, Coffin, John M., Kearney, Mary F., Halvas, Elias K., Wu, Xiaolin, Hughes, Stephen H., Mellors, John W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310066/
https://www.ncbi.nlm.nih.gov/pubmed/34202310
http://dx.doi.org/10.3390/v13071235
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author Brandt, Leah D.
Guo, Shuang
Joseph, Kevin W.
Jacobs, Jana L.
Naqvi, Asma
Coffin, John M.
Kearney, Mary F.
Halvas, Elias K.
Wu, Xiaolin
Hughes, Stephen H.
Mellors, John W.
author_facet Brandt, Leah D.
Guo, Shuang
Joseph, Kevin W.
Jacobs, Jana L.
Naqvi, Asma
Coffin, John M.
Kearney, Mary F.
Halvas, Elias K.
Wu, Xiaolin
Hughes, Stephen H.
Mellors, John W.
author_sort Brandt, Leah D.
collection PubMed
description Efforts to cure HIV-1 infection require better quantification of the HIV-1 reservoir, particularly the clones of cells harboring replication-competent (intact) proviruses, termed repliclones. The digital droplet PCR assays commonly used to quantify intact proviruses do not differentiate among specific repliclones, thus the dynamics of repliclones are not well defined. The major challenge in tracking repliclones is the relative rarity of the cells carrying specific intact proviruses. To date, detection and accurate quantification of repliclones requires in-depth integration site sequencing. Here, we describe a simplified workflow using integration site-specific qPCR (IS-qPCR) to determine the frequencies of the proviruses integrated in individual repliclones. We designed IS-qPCR to determine the frequencies of repliclones and clones of cells that carry defective proviruses in samples from three donors. Comparing the results of IS-qPCR with deep integration site sequencing data showed that the two methods yielded concordant estimates of clone frequencies (r = 0.838). IS-qPCR is a potentially valuable tool that can be applied to multiple samples and cell types over time to measure the dynamics of individual repliclones and the efficacy of treatments designed to eliminate them.
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spelling pubmed-83100662021-07-25 Tracking HIV-1-Infected Cell Clones Using Integration Site-Specific qPCR Brandt, Leah D. Guo, Shuang Joseph, Kevin W. Jacobs, Jana L. Naqvi, Asma Coffin, John M. Kearney, Mary F. Halvas, Elias K. Wu, Xiaolin Hughes, Stephen H. Mellors, John W. Viruses Article Efforts to cure HIV-1 infection require better quantification of the HIV-1 reservoir, particularly the clones of cells harboring replication-competent (intact) proviruses, termed repliclones. The digital droplet PCR assays commonly used to quantify intact proviruses do not differentiate among specific repliclones, thus the dynamics of repliclones are not well defined. The major challenge in tracking repliclones is the relative rarity of the cells carrying specific intact proviruses. To date, detection and accurate quantification of repliclones requires in-depth integration site sequencing. Here, we describe a simplified workflow using integration site-specific qPCR (IS-qPCR) to determine the frequencies of the proviruses integrated in individual repliclones. We designed IS-qPCR to determine the frequencies of repliclones and clones of cells that carry defective proviruses in samples from three donors. Comparing the results of IS-qPCR with deep integration site sequencing data showed that the two methods yielded concordant estimates of clone frequencies (r = 0.838). IS-qPCR is a potentially valuable tool that can be applied to multiple samples and cell types over time to measure the dynamics of individual repliclones and the efficacy of treatments designed to eliminate them. MDPI 2021-06-25 /pmc/articles/PMC8310066/ /pubmed/34202310 http://dx.doi.org/10.3390/v13071235 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Brandt, Leah D.
Guo, Shuang
Joseph, Kevin W.
Jacobs, Jana L.
Naqvi, Asma
Coffin, John M.
Kearney, Mary F.
Halvas, Elias K.
Wu, Xiaolin
Hughes, Stephen H.
Mellors, John W.
Tracking HIV-1-Infected Cell Clones Using Integration Site-Specific qPCR
title Tracking HIV-1-Infected Cell Clones Using Integration Site-Specific qPCR
title_full Tracking HIV-1-Infected Cell Clones Using Integration Site-Specific qPCR
title_fullStr Tracking HIV-1-Infected Cell Clones Using Integration Site-Specific qPCR
title_full_unstemmed Tracking HIV-1-Infected Cell Clones Using Integration Site-Specific qPCR
title_short Tracking HIV-1-Infected Cell Clones Using Integration Site-Specific qPCR
title_sort tracking hiv-1-infected cell clones using integration site-specific qpcr
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310066/
https://www.ncbi.nlm.nih.gov/pubmed/34202310
http://dx.doi.org/10.3390/v13071235
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