Integrated proteomics and transcriptomics analyses identify novel cell surface markers of HIV latency

Phenotyping Viral Reservoirs to Reveal HIV-1 Hiding Places

PURPOSE OF REVIEW

Despite suppressive antiretroviral therapy (ART), HIV-1 reservoirs persist in various cell types and tissues and reignite active replication if therapy is stopped. Persistence of the viral reservoirs in people with HIV-1 (PWH) is the main obstacle to achieving a cure. Identification and characterization of cellular and tissue HIV-1 reservoirs is thus central to the cure research. Here, we discuss emerging insights into the phenotype of HIV-1 reservoir cells.

RECENT FINDINGS

HIV-1 persists in multiple tissues, anatomic locations, and cell types. Although contributions of different CD4 + T-cell subsets to the HIV-1 reservoir are not equal, all subsets harbor a part of the viral reservoir. A number of putative cellular markers of the HIV-1 reservoir have been proposed, such as immune checkpoint molecules, integrins, and pro-survival factors. CD32a expression was shown to be associated with a very prominent enrichment in HIV-1 DNA, although this finding has been challenged. Recent technological advances allow unbiased single-cell phenotypic analyses of cells harbouring total or intact HIV-1 proviruses. A number of phenotypic markers have been reported by several independent studies to be enriched on HIV-1 reservoir cells. Expression of some of these markers could be mechanistically linked to the reservoir persistence, as they could for instance shield the reservoir cells from the immune recognition or promote their survival. However, so far no single phenotypic marker, or combination of markers, can effectively distinguish HIV-infected from uninfected cells or identify all reservoir cells.

Eliminating the persistent HIV reservoir based on biomarker expression - How do we get there?

Persistent HIV reservoir with different levels of proviral transcriptional activity represents a hurdle to HIV cure. The absence of a specific molecular signature or a "biomarker" to define cells latently infected with HIV limits reservoir eradication efforts. Biomarkers proposed in the literature define subsets of latently infected cells. This article discusses factors contributing to biomarker heterogeneity: external stimuli the cells are exposed to, tissue microenvironments, and person-to-person variation. Despite reservoir heterogeneity, several biomarkers, e.g., programmed cell death 1 and the Fc fragment of IgG low affinity IIa receptor, were reported consistently in multiple studies; however, they alone are unlikely to define all the HIV reservoir cells. Identifying a minimal set of cell surface proteins that together define all reservoir subsets is needed. Future studies will need to focus on the identification of co-expressed proteins that define the same sets of cells to reduce the number of proteins in a biomarker panel. A detailed characterization of tissue biomarkers and proteins expressed in latently infected cells of the myeloid lineage is needed to ensure that all the reservoirs are targeted throughout the body. Furthermore, the effect of underlying conditions that develop as people with HIV age on the manifestation of latency should be evaluated. With the development of novel technologies, such as spatial transcriptomics and proteomics, such endeavors will soon be possible. Thus, there is promise that a minimal set of proteins defining all the different reservoir subsets can be identified and developed into a reservoir targeting strategy.

Single-cell RNA sequencing reveals common and unique gene expression profiles in primary CD4+ T cells latently infected with HIV under different conditions

Background

The latent HIV reservoir represents the major barrier to a cure. One curative strategy is targeting diseased cells for elimination based on biomarkers that uniquely define these cells. Single-cell RNA sequencing (scRNA-seq) has enabled the identification of gene expression profiles associated with disease at the single-cell level. Because HIV provirus in many cells during latency is not entirely silent, it became possible to determine gene expression patterns in a subset of cells latently infected with HIV.

Objective

The primary objective of this study was the identification of the gene expression profiles of single latently infected CD4+ T cells using scRNA-seq. Different conditions of latency establishment were considered. The identified profiles were then explored to prioritize the identified genes for future experimental validation.

Methods

To facilitate gene prioritization, three approaches were used. First, we characterized and compared the gene expression profiles of HIV latency established in different environments: in cells that encountered an activation stimulus and then returned to quiescence, and in resting cells that were infected directly via cell-to-cell viral transmission from autologous activated, productively infected cells. Second, we characterized and compared the gene expression profiles of HIV latency established with viruses of different tropisms, using an isogenic pair of CXCR4- and CCR5-tropic viruses. Lastly, we used proviral expression patterns in cells from people with HIV to more accurately define the latently infected cells in vitro.

Results

Our analyses demonstrated that a subset of genes is expressed differentially between latently infected and uninfected cells consistently under most conditions tested, including cells from people with HIV. Our second important observation was the presence of latency signatures, associated with variable conditions when latency was established, including cellular exposure and responsiveness to a T cell receptor stimulus and the tropism of the infecting virus.

Conclusion

Common signatures, specifically genes that encode proteins localized to the cell surface, should be prioritized for further testing at the protein level as biomarkers for the ability to enrich or target latently infected cells. Cell- and tropism-dependent biomarkers may need to be considered in developing targeting strategies to ensure that all the different reservoir subsets are eliminated.

HIV Infection Elicits Differential Transcriptomic Remodeling in CD4+ T Cells with Variable Proliferative Responses to the T Cell Receptor Stimulus

Identification of a cellular biomarker of latent HIV infection will facilitate the latent reservoir detection, quantification, and targeting for elimination. Unfortunately, the latency biomarkers reported in the literature define only a fraction of the entire reservoir. The latent HIV reservoir may be established in dividing cells that subsequently return to quiescence and in resting cells. The strength of the T cell receptor (TCR) signaling at the time of infection affects characteristics of the established reservoir, such as the ability to reactivate with latency reversing agents. To better understand the cellular environments before latency establishment, we characterized transcriptomic remodeling induced by the initial HIV infection in cells with differential proliferative responses to the TCR stimulus. Cell proliferation was monitored using the viable dye carboxyfluorescein diacetate succinimidyl ester. Cells that divided many times, a few times, or remained non-dividing were subjected to single-cell RNA sequencing. A subset of identified transcriptional changes induced by HIV infection was independent of the number of cell divisions; however, responses unique to different cell subsets were also detected. Some of these early gene expression changes were consistent with reported markers of latently infected cells. We pose that the latency biomarkers may depend on the cellular proliferative state at the time of infection.