ArticleGenome biology2018
A Reproducibility-Based Computational Framework Identifies an Inducible, Enhanced Antiviral State in Dendritic Cells from HIV-1 Elite Controllers.
Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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
34 citing papers in PubMed.
- 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
- Sex differences in HIV-1 reservoir cell selection are linked to altered innate immune profiles.Science translational medicine · 2025Observational
- Adapting systems biology to address the complexity of human disease in the single-cell era.Nature reviews. Genetics · 2025Review
- Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Circulating immune landscape and immune signatures in spontaneous HIV controllers.Frontiers in immunology · 2025Observational
- HIV controllers: hope for a functional cure.Frontiers in immunology · 2025Review
- Cell-free assays reveal that the HIV-1 capsid protects reverse transcripts from cGAS immune sensing.PLoS pathogens · 2025Article
- Article
- Mechanisms underlying the development of type 1 diabetes in ART-treated people living with HIV: an enigmatic puzzle.Frontiers in immunology · 2024Review
- MICa/b-dependent activation of natural killer cells by CD64The EMBO journal · 2023Article
- Dendritic cell subsets in cancer immunity and tumor antigen sensing.Cellular & molecular immunology · 2023Review
- Editorial: Innate immune responses in HIV controllers.Frontiers in immunology · 2023Article
- NLRC4-mediated activation of CD1c+ DC contributes to perpetuation of synovitis in rheumatoid arthritis.JCI insight · 2022Article
- Delineating the dynamic evolution from preneoplasia to invasive lung adenocarcinoma by integrating single-cell RNA sequencing and spatial transcriptomics.Experimental & molecular medicine · 2022Article
- Immune correlates of HIV-1 reservoir cell decline in early-treated infants.Cell reports · 2022Article
- Article
- Global transcriptomic characterization of T cells in individuals with chronic HIV-1 infection.Cell discovery · 2022Article
- Review
- Omic Technologies in HIV: Searching Transcriptional Signatures Involved in Long-Term Non-Progressor and HIV Controller Phenotypes.Frontiers in immunology · 2022Review
- Single-Cell Sequencing Facilitates Elucidation of HIV Immunopathogenesis: A Review of Current Literature.Frontiers in immunology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundHuman immunity relies on the coordinated responses of many cellular subsets and functional states. Inter-individual variations in cellular composition and communication could thus potentially alter host protection. Here, we explore this hypothesis by applying single-cell RNA-sequencing to examine viral responses among the dendritic cells (DCs) of three elite controllers (ECs) of HIV-1 infection.
resultsTo overcome the potentially confounding effects of donor-to-donor variability, we present a generally applicable computational framework for identifying reproducible patterns in gene expression across donors who share a unifying classification. Applying it, we discover a highly functional antiviral DC state in ECs whose fractional abundance after in vitro exposure to HIV-1 correlates with higher CD4
conclusionsOverall, our results demonstrate how single-cell approaches can reveal previously unappreciated, yet important, immune behaviors and empower rational frameworks for modulating systems-level immune responses that may prove therapeutically and prophylactically useful.
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.