Cargando…
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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |
_version_ | 1783728671060656128 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8310066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT brandtleahd trackinghiv1infectedcellclonesusingintegrationsitespecificqpcr AT guoshuang trackinghiv1infectedcellclonesusingintegrationsitespecificqpcr AT josephkevinw trackinghiv1infectedcellclonesusingintegrationsitespecificqpcr AT jacobsjanal trackinghiv1infectedcellclonesusingintegrationsitespecificqpcr AT naqviasma trackinghiv1infectedcellclonesusingintegrationsitespecificqpcr AT coffinjohnm trackinghiv1infectedcellclonesusingintegrationsitespecificqpcr AT kearneymaryf trackinghiv1infectedcellclonesusingintegrationsitespecificqpcr AT halvaseliask trackinghiv1infectedcellclonesusingintegrationsitespecificqpcr AT wuxiaolin trackinghiv1infectedcellclonesusingintegrationsitespecificqpcr AT hughesstephenh trackinghiv1infectedcellclonesusingintegrationsitespecificqpcr AT mellorsjohnw trackinghiv1infectedcellclonesusingintegrationsitespecificqpcr |