ArticleVirology2022
Integrated proteomics and transcriptomics analyses identify novel cell surface markers of HIV latency.
Article in Virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Mind the gap between RNA and protein levels: A general phenomenon with implications for virology.PLoS pathogens · 2026Article
- Phenotyping Viral Reservoirs to Reveal HIV-1 Hiding Places.Current HIV/AIDS reports · 2025Review
- HIV Infection Elicits Differential Transcriptomic Remodeling in CD4+ T Cells with Variable Proliferative Responses to the T Cell Receptor Stimulus.Pathogens (Basel, Switzerland) · 2023Article
- Single-cell RNA sequencing reveals common and unique gene expression profiles in primary CD4+ T cells latently infected with HIV under different conditions.Frontiers in cellular and infection microbiology · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
Elimination of the latent HIV cell reservoir may be possible, if the molecular identity of latently infected cells were fully elucidated. We conducted comprehensive molecular profiling, at the protein and RNA levels, of primary T cells latently infected with HIV in vitro. Isobaric labelling quantitative proteomics and RNA sequencing identified 1453 proteins and 618 genes, altered in latently infected cells compared to mock-infected controls (p < 0.05). Biomarker selection was based on results from integrated data analysis. Relative enrichment for latently infected cells was monitored using flow cytometric sorting and the HIV integrant assay. Antibodies against selected proteins, encoded by CEACAM1 and PLXNB2, enabled enrichment of latently infected cells from cell mixtures by 3-10 fold (5.8 average, p < 0.001), comparable to levels obtained with biomarkers reported previously. Individual biomarkers are likely linked to subsets of latently infected cells, and an extended antibody panel will be required to inclusively target the latent HIV reservoir.
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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.