학술논문

A Reproducibility-Based Computational Framework Identifies an Inducible, Enhanced Antiviral State in Dendritic Cells from HIV-1 Elite Controllers
Document Type
article
Source
Genome Biology. 19(1)
Subject
Medical Microbiology
Biomedical and Clinical Sciences
Immunology
HIV/AIDS
Infectious Diseases
Clinical Research
Vaccine Related
Genetics
Inflammatory and immune system
Infection
Biomarkers
Dendritic Cells
Gene Expression Profiling
Genomics
HIV Infections
HIV-1
Humans
Reproducibility of Results
Sequence Analysis
RNA
Single-Cell Analysis
Dendritic cell
Single-cell RNA-seq
Single-cell genomics
Elite controller
Adjuvant
Reproducibility
Differential expression
Environmental Sciences
Biological Sciences
Information and Computing Sciences
Bioinformatics
Language
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+ T cell counts and lower HIV-1 viral loads, and that effectively primes polyfunctional T cell responses in vitro. By integrating information from existing genomic databases into our reproducibility-based analysis, we identify and validate select immunomodulators that increase the fractional abundance of this state in primary peripheral blood mononuclear cells from healthy individuals in vitro.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.