ArticlePLoS computational biology2014
Quantifying the turnover of transcriptional subclasses of HIV-1-infected cells.
Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Incorporating Intracellular Processes in Virus Dynamics Models.Microorganisms · 2024Review
- Estimating the contribution of CD4 T cell subset proliferation and differentiation to HIV persistence.Nature communications · 2023Article
- Antiretroviral drug exposure in lymph nodes is heterogeneous and drug dependent.Journal of the International AIDS Society · 2022Article
- Persistent HIV-1 transcription in CD4Journal of virus eradication · 2021Article
- Phylogenetic approach to recover integration dates of latent HIV sequences within-host.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Observational
- Modeling brain lentiviral infections during antiretroviral therapy in AIDS.Journal of neurovirology · 2017Article
- Single-cell analysis of HIV-1 transcriptional activity reveals expression of proviruses in expanded clones during ART.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- HIV dynamics linked to memory CD4+ T cell homeostasis.PloS one · 2017Article
- Notwithstanding Circumstantial Alibis, Cytotoxic T Cells Can Be Major Killers of HIV-1-Infected Cells.Journal of virology · 2016Article
- Article
- HIV-1 Virion Production from Single Inducible Proviruses following T-Cell Activation Ex Vivo.Journal of virology · 2016Article
- Article
- HIV-1 CCR5 gene therapy will fail unless it is combined with a suicide gene.Scientific reports · 2015Article
- Dynamic models of viral replication and latency.Current opinion in HIV and AIDS · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
HIV-1-infected cells in peripheral blood can be grouped into different transcriptional subclasses. Quantifying the turnover of these cellular subclasses can provide important insights into the viral life cycle and the generation and maintenance of latently infected cells. We used previously published data from five patients chronically infected with HIV-1 that initiated combination antiretroviral therapy (cART). Patient-matched PCR for unspliced and multiply spliced viral RNAs combined with limiting dilution analysis provided measurements of transcriptional profiles at the single cell level. Furthermore, measurement of intracellular transcripts and extracellular virion-enclosed HIV-1 RNA allowed us to distinguish productive from non-productive cells. We developed a mathematical model describing the dynamics of plasma virus and the transcriptional subclasses of HIV-1-infected cells. Fitting the model to the data allowed us to better understand the phenotype of different transcriptional subclasses and their contribution to the overall turnover of HIV-1 before and during cART. The average number of virus-producing cells in peripheral blood is small during chronic infection. We find that a substantial fraction of cells can become defectively infected. Assuming that the infection is homogenous throughout the body, we estimate an average in vivo viral burst size on the order of 104 virions per cell. Our study provides novel quantitative insights into the turnover and development of different subclasses of HIV-1-infected cells, and indicates that cells containing solely unspliced viral RNA are a good marker for viral latency. The model illustrates how the pool of latently infected cells becomes rapidly established during the first months of acute infection and continues to increase slowly during the first years of chronic infection. Having a detailed understanding of this process will be useful for the evaluation of viral eradication strategies that aim to deplete the latent reservoir of HIV-1.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.