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CD25 expression marks an activated mast cell population in human nasal polyposis

GSE330761 Homo sapiens (human) RNA-seq (gene expression) 25 samples Submitted 2026/05/17 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 25 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
25 samples: 11 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Background- Chronic rhinosinusitis (CRS) with nasal polyps (CRSwNP) is a Th2 disease characterized by heterogeneous mast cell hyperplasia. We previously used transcriptomics to identify discrete gene expression linked with intraepithelial MCs expressing tryptase alone (MCT), subepithelial MCs co-expressing tryptase and chymase (MCTCs), and immature MCs in CRSwNP.
Read the full summary ↓
While MCTCs were the only subset consistently observed in both CRSwNP and control CRS donors without nasal polyposis (CRSsNP), the degree to which they differ across disease states remains unexplored. Objective- The objective of this study was to use transcriptomics and flow cytometry to compare MCTCs in CRSwNP to CRSsNP. Methods- MCTCs were flow-sorted from CRSwNP and CRSsNP samples for RNA-sequencing (RNAseq) analysis to identify differentially expressed genes and pathways across disease states. In silico observations were validated using flow cytometry on cryopreserved tissue samples from CRSwNP and CRSsNP, and RNAseq of stimulated ex-vivo differentiated MCs. Results- We find a significant increase in MCTC concentration in CRSwNP donors, which were enriched for activation associated pathways linked with differential expression of transcripts encoding pro-inflammatory mediators and cell receptors, including IL2RA. Validation studies highlighted significant cell-surface expression of CD25 on MCTCs in CRSwNP. Ex-vivo stimulated primary MCs upregulated IL2RA in response to IL-33 stimulus. Conclusions- Our data shows that MCTCs in CRSwNP exhibit an activated transcriptional phenotype with expression of transcripts encoding pro-inflammatory mediators and IL2RA. Moreover, the CD25 upregulation on MCTCs in CRSwNP suggest its potential to serve as an in-vivo marker of activated MCTCs during allergic disease.
This dataset
Open GSE330761 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE330761_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1465391 and SRA study SRP699805. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
11 conditions, mostly in duplicate
CRSsNP_MCTC ×3 CRSwNP_MCTC ×3 CBMC_NoStim ×2 CBMC_IL33 ×2 MCTC_NoStim_1 ×2 MCTC_NoStim_2 ×2 MCTC_NoStim_3 ×2 MCTC_NoStim_4 ×2 +4 more

Supports a between-group comparison across 24 samples.

How we read this: 11 replicated groups read from 25 sample titles; they account for 24 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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