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Parallel analysis of transcription, integration, and sequence of single HIV-1 proviruses

ABSTRACT: HIV-1-infected cells that persist despite antiretroviral therapy (ART) are frequently considered ‘‘transcriptionally silent,’’ but active viral gene expression may occur in some cells, challenging the concept of viral latency. Applying an assay for proﬁling the transcriptional activity and the chromosomal locations of individual proviruses, we describe a global genomic and epigenetic map of transcriptionally active and silent proviral species and evaluate their longitudinal evolution in persons receiving suppressive ART. Using genome-wide epigenetic reference data, we show that proviral transcriptional activity is associated with activating epigenetic chromatin features in linear proximity of integration sites and in their inter- and intrachromosomal contact regions. Transcriptionally active proviruses were actively selected against during prolonged ART; however, this pattern was violated by large clones of virally infected cells that may outcompete negative selection forces through elevated intrinsic proliferative activity. Our results suggest that transcriptionally active proviruses are dynamically evolving under selection pressure by host factors.

ORGANISM(S): Homo sapiens

PROVIDER: GSE168337 | GEO | 2022/01/12

REPOSITORIES: GEO

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Project description:HIV-1 infection of resting memory CD4+ T cells forms a barrier to curing HIV-1. Identification of immune biomarkers that correlate with HIV-1 reservoir size could aid with assessing efficacy of HIV-1 eradication strategies, especially in pediatric infections where blood sampling is limited. In adults, the immune exhaustion marker PD-1 on central memory CD4+ T cells (Tcm) correlates with HIV-1 reservoir size. Immune correlates of HIV-1 reservoir size are less defined in perinatal infection. Using multi-parameter flow cytometry, we examined immune activation (CD69, CD25, HLA-DR), and exhaustion (PD-1, TIGIT, LAG-3 and TIM-3) markers on CD4+ T cell subsets (naïve (Tn), central memory (Tcm), and a combination (Ttem) of transitional (Ttm) and effector memory (Tem) in 10 children living with HIV-1 (median age 15.9 years; median duration of virologic suppression 7.0 years), in whom HIV-1 reservoir size was determined with both the Intact Proviral HIV-1 DNA assay (IPDA) and the Tat/Rev limiting dilution assay (TILDA). Total HIV-1 DNA in CD4+ T cells was also measured. Correlations between immune activation, and exhaustion markers on T cell subsets with the various markers of proviral reservoir size, and baseline CD4+ T cell transcriptomes were examined. The median total HIV-1 DNA concentration was 211.9 copies per million CD4+ T cells, with a median intact proviral load in individuals with HIV-1 subtype B of 8.0 copies per million CD4+ T cells. Levels of HLA-DR and TIGIT on Ttem were strongly correlated with total HIV-1 DNA (r=0.758, p=0.015) and (r=0.721, p=0.023), respectively, but not with intact proviral load or inducible reservoir size. HIV-1 DNA load was also positively correlated with transcriptional clusters associated with HLA-DR. In contrast, PD-1 expression on Tcm was inversely correlated with both total HIV-1 DNA (r=-0.67, p=0.039) and HLA-DR in Ttem (r=-0.89, p=0.060). Gene expression profiles for HLA-DR and PD-1 were also inversely correlated. In conclusion, with virologically suppressed perinatal HIV-1 infection, HLA-DR and TIGIT on Ttem CD4+ T cells correlate with total HIV-1 DNA, and may serve as immune biomarkers for transcriptionally active proviruses, including defectives persisting on ART.

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Parallel analysis of transcription, integration, and sequence of single HIV-1 proviruses

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