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Single-cell RNA-sequencing of HNSCC-infiltrating T cells

GSE287301 Homo sapiens Expression profiling by high throughput sequencing 48 samples Submitted 2025/08/06 Platform GPL34284
Summary
This study examines the T cell landscape in head and neck squamous cell carcinoma (HNSCC) using single-cell RNA sequencing combined with T cell receptor and protein profiling. By analyzing tumor-infiltrating T cells from 28 patients, we identified diverse T cell subsets, characterized their transcriptional states, and mapped their clonal dynamics. These findings provide a detailed view of the immune microenvironment in HNSCC and offer insights into T cell-mediated immunity and potential targets for immunotherapy and are patient-matched to PBMC TCR sequencing and Xenium spatial transcriptomics in separate GEO submissions.
Published in
Single-cell TCR mapping reveals spatially coordinated T cell states in head and neck cancer
McCord KA, Kan E, Hyslop S et al. · Science immunology 2026 · PMID 41961948 · doi:10.1126/sciimmunol.aec3133
This dataset
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Direct links to NCBI, no account and no request form: the whole study as GSE287301_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 48 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1212073 and SRA study SRP558177. Searching any of these in the dataset finder brings you back here.

Study design
24 × chip 1 pool vs 16 × chip 2 pool

Supports a between-group comparison across 40 samples.

2 replicated groups read from the first 40 of 48 sample titles; they account for 40 of them. Check it against the sample list below before relying on it.

Samples in this study

+ 8 more — browse all 48 samples with per-sample file links →

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