ArticleCell reports2018
Single-Cell Analysis of Quiescent HIV Infection Reveals Host Transcriptional Profiles that Regulate Proviral Latency.
Article in Cell reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.
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
78 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.
- Transcriptome profiles of latently- and reactivated HIV-1 infected primary CD4Frontiers in immunology · 2022Pooled it
- Single-cell analysis of HIV expression and integration sites reveals robust viral expression across diverse chromatin environments.Microbiology spectrum · 2026Article
- A screen of chromatin-targeting compounds identifies TAF1 as a novel regulator of HIV latency.mBio · 2026Article
- Three immunoregulatory signatures define non-productive HIV infection in stem cell memory CD4Nature communications · 2026Article
- Histone decrotonylation plays a distinct role in HIV latency.Science advances · 2026Article
- Three immunoregulatory signatures define non-productive HIV infection in CD4bioRxiv : the preprint server for biology · 2026Article
- Global research landscape and trends of single-cell sequencing in sexually transmitted infections: a comprehensive bibliometric analysis from 2015 to 2025.Frontiers in reproductive health · 2026Article
- Using single cell technologies to understand HIV latency models.Current opinion in HIV and AIDS · 2025Review
- Article
- Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Advancements in single-cell techniques for examining the HIV reservoir: pathways to a cure.mBio · 2025Review
- Single-cell analyses identify monocyte gene expression profiles that influence HIV-1 reservoir size in acutely treated cohorts.Nature communications · 2025Article
- Single-Cell Transcriptomic Analysis of Kaposi Sarcoma.PLoS pathogens · 2025Article
- A targeted CRISPR screen identifies ETS1 as a regulator of HIV-1 latency.PLoS pathogens · 2025Article
- Tracking HIV persistence across T cell lineages during early ART-treated HIV-1-infection using a reservoir-marking humanized mouse model.Nature communications · 2025Article
- Comprehensive SUMO Proteomic Analyses Identify HIV Latency-Associated Proteins in Microglia.Cells · 2025Article
- No evidence for active viral infection in unicentric and idiopathic multicentric Castleman disease by Viral-Track analysis.Scientific reports · 2025Article
- Artificial Intelligence Methods in Infection Biology Research.Methods in molecular biology (Clifton, N.J.) · 2025Article
- The role of Tat in HIV latency and reactivation.Frontiers in immunology · 2025Review
- The immunosuppressive tuberculosis-associated microenvironment inhibits viral replication and promotes HIV-1 latency in CD4iScience · 2024Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
A detailed understanding of the mechanisms that establish or maintain the latent reservoir of HIV will guide approaches to eliminate persistent infection. We used a cell line and primary cell models of HIV latency to investigate viral RNA (vRNA) expression and the role of the host transcriptome using single-cell approaches. Single-cell vRNA quantitation identified distinct populations of cells expressing various levels of vRNA, including completely silent populations. Strikingly, single-cell RNA-seq of latently infected primary cells demonstrated that HIV downregulation occurred in diverse transcriptomic environments but was significantly associated with expression of a specific set of cellular genes. In particular, latency was more frequent in cells expressing a transcriptional signature that included markers of naive and central memory T cells. These data reveal that expression of HIV proviruses within the latent reservoir are influenced by the host cell transcriptional program. Therapeutic modulation of these programs may reverse or enforce HIV latency.
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.