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Human mast cell interferon responses and survival in the context of Coronavirus and Respiratory Syncytial Virus are enhanced by IL-5

GSE262880 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2025/03/17 Platform GPL21697
At a glance

RNA-seq (gene expression) · human · 16 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
16 samples: 8 × CBMCs, IL-5 biol vs 8 × CBMCs, Mock biolGroups 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.
Paper
IL-5 enhances human mast cell survival and interferon responses to viral infectionThe Journal of allergy and clinical immunology · 2025
Summary (written by the submitters)
Mast cells have been shown to be important sentinel cells in multiple models of viral and bacterial infection. Exacerbations of allergic asthma and asthma deaths are often associated with respiratory viral infections. Elevated levels of type 2 cytokines, especially interleukin 5 (IL-5), are also associated with allergic disease and have been targeted therapeutically.
Read the full summary ↓
Here, we demonstrate that IL-5 signaling enhances the ability of human mast cells to mount a potent anti-viral response against respiratory viruses. Mast cells derived from umbilical cord-blood, treated with IL-5 and infected with respiratory viruses such as the human Coronavirus OC43 or respiratory syncytial virus (RSV) produced significantly more type I and type III interferons (IFNs) than non-IL-5 treated controls. IL-5 treatment also led to greater expression of IFN stimulated genes and upregulated expression of the pro-survival factor B-cell lymphoma 2 (BCL2) and protected mast cells from apoptosis-induced stress. IL-5 also upregulated expression of Endothelial PAS Domain Protein 1 (EPAS1), demonstrating an important IL-5 driven pro-survival network in mast cells. These resultssuggest an unexpected role for IL-5 signaling in regulating mast cell interferon responses and maintaining mast cell populations during mucosal viral infection.
Published in
IL-5 enhances human mast cell survival and interferon responses to viral infection
Barra J, Liwski CR, Phonchareon P et al. · The Journal of allergy and clinical immunology 2025 · PMID 40024310 · doi:10.1016/j.jaci.2025.02.025
This dataset
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.

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 GSE262880_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1094574 and SRA study SRP498885. Searching any of these in the dataset finder brings you back here.

Study design
8 × CBMCs, IL-5 biol vs 8 × CBMCs, Mock biol

Supports a between-group comparison across 16 samples.

How we read this: 2 replicated groups read from 16 sample titles; they account for 16 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
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