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Single-Cell Omics Analysis of Human Basophils Reveals Two Transcriptionally Distinct Populations

GSE287976 Homo sapiens Expression profiling by high throughput sequencing; Other 12 samples Submitted 2026/01/07 Platform GPL24676Platform GPL26167
Summary
Single-omics technologies have been extensively used to study the heterogeneity of cell populations. However, human basophils are remarkably underrepresented in single-cell RNA-sequencing studies. Here, we used CITE-seq (single-cell RNA-sequencing with feature barcoding) to profile the basophil transcriptome, to detect cell surface epitopes, and to barcode specific cell populations.
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Single-Cell Omics Analysis of Human Basophils Reveals Two Transcriptionally Distinct Populations
Papavasileiou S, Mo J, Boey D et al. · Allergy 2026 · PMID 41498390 · doi:10.1111/all.70209
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Direct links to NCBI, no account and no request form: the whole study as GSE287976_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 12 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1215395. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, each sampled once — no replicated groups

Read from 12 sample titles: 12 distinct titles with little repetition. Check it against the sample list below before relying on it.

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