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Decoding the epithelial-stromal interactome in allergic rhinitis through single-cell multi-omics integration
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DOI：10.1016/j.jaci.2026.06.020.png)
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Abstract
En 中文
• Single-cell multi-omics establishes a comprehensive molecular framework of the nasal mucosa. • Epithelial-stromal crosstalk is enhanced in AR compared to NAR. • scMARIA simultaneously predicts AR risk and clinically relevant disease parameters.
Keywords:
Allergic rhinitis
Single-cell multi-omics analyses
Nasal mucosa
Gene regulatory networks
scMARIA
Epithelial-stromal interaction
AR
Allergic Rhinitis
NAR
Non-Allergic Rhinitis
EOS
Eosinophil
IgE
Immunoglobulin E
VAS
Visual Analogue Scale
HDM
House Dust Mite
scRNA-seq
single-cell RNA sequencing
scATAC-seq
single-cell ATAC sequencing
scMARIA
Single-cell Multi-omics for Allergic Rhinitis Integrative Analysis
IG
Integrated Gradient
DEG
Differentially Expressed Gene
DAP
Differentially Accessible Peak
GRN
Gene Regulatory Network
RSS
eRegulon Specificity Score
AUC
Area Under the Curve
AUROC
Area Under the Receiver Operating Characteristic Curve
AP
Average Precision
UMAP
Uniform Manifold Approximation and Projection
GSEA
Gene Set Enrichment Analysis
EMT
Epithelial-Mesenchymal Transition
ECM
Extracellular Matrix
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