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Single-cell profiling of paired nasal brushing and tissue samples reveals distinct cellular landscapes and immune phenotypes

GSE314706 Homo sapiens Expression profiling by high throughput sequencing; Other 7 samples Submitted 2026/02/25 Platform GPL34284
Summary
Background: Since the COVID-19 pandemic, local immune responses in the nasal mucosa have become an area of growing research interest. In this context, studies using noninvasive nasal brushing (NB) samples have increased markedly. However, it remains unclear whether NB samples accurately reflect the immune landscape of the nasal tissue (NT). Objective: To directly compare the cellular composition and immune cell responses of NB and NT samples. Methods: Paired NB and NT samples were collected from the same anatomical site. The frequency, phenotype, and effector functions of epithelial and immune cells were analyzed using single-cell RNA sequencing and flow cytometry. Results: NB samples contained a significantly higher proportion of epithelial cells than NT samples, while fibroblasts, endothelial cells, and B cells were significantly less abundant. Within the epithelial compartment, NB showed an enrichment of ciliated and secretory cells, whereas basal cells were less frequent and glandular basal/secretory cells were rarely detected. Additionally, CD103+ tissue-resident memory T cells and CD56bright NK cells were more abundant in NB samples than in NT samples. Functional analyses revealed distinct T-cell effector profiles between the two sample types. Notably, SARS-CoV-2–specific T cells were significantly less frequent in NB samples than in NT. Conclusions: NB is well-suited for sampling cells located near the epithelial surface but captures fewer cells from deeper mucosal layers. Additionally, NB samples display distinct T-cell effector profiles and virus-specific T cell frequencies compared to NT. These findings highlight the importance of selecting sampling methods that align with the specific objectives of a study.
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Direct links to NCBI, no account and no request form: the whole study as GSE314706_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 7 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1392485 and SRA study SRP657291. Searching any of these in the dataset finder brings you back here.

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