The immunophenotype and proviral landscape of HIV-infected CD4 T cells during antiretroviral therapy

In individuals on effective antiretroviral therapy, integrated HIV proviruses persist within CD4 T cells, forming a viral reservoir that rebounds if treatment is stopped. Identifying and targeting these rare, infected cells is critical for advancing therapies, but methods to study reservoir cells are limited and their unique properties remain largely unknown. We applied DAb-seq, a high-throughput method that combines single-cell DNA and surface protein sequencing, to profile over five hundred and twenty thousand CD4 T cells from the blood of six individuals on ART. Infected cells were unequally distributed in T cell subsets, and differential protein expression between infected and uninfected cells revealed significant heterogeneity across cell subsets. Attempts to identify surface markers that differentiate infected from uninfected cells found antigens that mirrored the enrichment of HIV in central memory subsets. However, while central memory T cells harbored the majority of HIV, cells with intact provirus were enriched relative to their defective counterparts in Naïve and Regulatory T cell subsets, suggesting that they differentially maintain intact proviruses. In summary, we developed DAb-seq as an open-source platform for linking the proviral landscape to diverse cellular phenotypes, revealing heterogeneity in surface protein expression and provirus maintenance across infected subsets.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-08-18
DOI
https://doi.org/10.1073/pnas.2600891123
Citations
3
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
11.53

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article

The immunophenotype and proviral landscape of HIV-infected CD4 T cells during antiretroviral therapy

Cyrille L. Delley, Iain C. Clark, Eli Boritz, Benjamin Demaree et al.
3 citations
Proceedings of the National Academy of Sciences
HIV Research and Treatment
11.53
article

The immunophenotype and proviral landscape of HIV-infected CD4 T cells during antiretroviral therapy

Cyrille L. Delley, Iain C. Clark, Eli Boritz, Benjamin Demaree, Sakshi Shah, Mars Stone, Adam R. Abate, Michael Paul Busch, Steven G. Deeks, Y. Park, Kevin M. Joslin
article en
3 citations

Abstract

In individuals on effective antiretroviral therapy, integrated HIV proviruses persist within CD4 T cells, forming a viral reservoir that rebounds if treatment is stopped. Identifying and targeting these rare, infected cells is critical for advancing therapies, but methods to study reservoir cells are limited and their unique properties remain largely unknown. We applied DAb-seq, a high-throughput method that combines single-cell DNA and surface protein sequencing, to profile over five hundred and twenty thousand CD4 T cells from the blood of six individuals on ART. Infected cells were unequally distributed in T cell subsets, and differential protein expression between infected and uninfected cells revealed significant heterogeneity across cell subsets. Attempts to identify surface markers that differentiate infected from uninfected cells found antigens that mirrored the enrichment of HIV in central memory subsets. However, while central memory T cells harbored the majority of HIV, cells with intact provirus were enriched relative to their defective counterparts in Naïve and Regulatory T cell subsets, suggesting that they differentially maintain intact proviruses. In summary, we developed DAb-seq as an open-source platform for linking the proviral landscape to diverse cellular phenotypes, revealing heterogeneity in surface protein expression and provirus maintenance across infected subsets.

Proceedings of the National Academy of SciencesVol. 123(34)
QB3 (US), University of California, San Francisco (US), Pacific Research Institute (US), Vitalant (US), National Institute of Allergy and Infectious Diseases (US), Vitalant Research Institute (US), University of San Francisco (US), University of California, Berkeley (US)
Bill and Melinda Gates Foundation
Openalex Percentile: Top 3%
HIV Research and Treatment
11.53
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