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Inflammatory Epithelial and Macrophage Pathways Underlie Residual Asthma Exacerbations in Urban Children Treated with Mepolizumab

GSE292059 Homo sapiens (human) RNA-seq (gene expression) 965 samples Submitted 2025/08/07 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 965 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
965 samples
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
Inflammatory Pathways in Residual Asthma Exacerbations Among Mepolizumab-Treated Urban Children: A Secondary Analysis of a Randomized Clinical TrialJAMA pediatrics · 2025
Summary (written by the submitters)
While biologic therapies targeting type 2 (T2) inflammation reduce acute exacerbation rates in children with asthma and T2 inflammation, exacerbations still occur, and the underlying molecular mechanisms are poorly defined. We aimed to identify multiple distinct molecular mechanisms implicated in asthma exacerbations by characterizing respiratory illnesses among urban children with eosinophilic asthma enrolled in a clinical trial comparing treatment with mepolizumab versus placebo
Published in
Inflammatory Pathways in Residual Asthma Exacerbations Among Mepolizumab-Treated Urban Children: A Secondary Analysis of a Randomized Clinical Trial
Altman MC, Janczyk T, Murphy RC et al. · JAMA pediatrics 2025 · PMID 40658400 · doi:10.1001/jamapediatrics.2025.2044
This dataset
Open GSE292059 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 GSE292059_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 PRJNA1236417 and SRA study SRP570602. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40658400) ↗
Study design
A cohort of 965 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run lib28551 … lib60143 and carry no group information.

Samples in this study

+ 925 more — browse all 965 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.