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RNAseq analyses of Esophageal biopsies from proton pump inhibitor (PPI)-responsive and PPI-unresponsive Pediatric patients with Eosinophilic Esophagitis.

GSE303169 Homo sapiens (human) RNA-seq (gene expression) 25 samples Submitted 2025/07/24 Platform GPL24676
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: 25 samples, each with a distinct title — no replicated groupsGroups 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
Unique epithelial proliferative transcriptomic signature in proton pump inhibitor-responsive pediatric eosinophilic esophagitisJCI insight · 2025
Summary (written by the submitters)
Clinical trials have identified two distinct eosinophilic esophagitis (EoE) treatment phenotypes, proton pump inhibitor (PPI)-responsive (PPI-R) and PPI-unresponsive (PPI-UR). Herein, we performed clinical, endoscopic, and histologic evaluation of esophageal biopsies from pediatric PPI-R and PPI-UR EoE individuals prior to PPI therapy (diagnosis) and following PPI trial.
Read the full summary ↓
RNAseq analyses of esophageal biopsy samples revealed common immune and inflammatory transcriptional signatures in both PPI-R EoE and PPI-UR EoE at diagnosis and distinct signatures enriched for processes related to neuropeptide signaling and cell cycle and division. PPI therapy induced histologic, endoscopic, and transcriptional remission in PPI-R EoE, but not in PPI-UR EoE. Persistent disease in PPI-UR EoE was associated with the presence of Th2 inflammatory and dedifferentiated esophageal epithelial transcriptomic signatures, while PPI-R EoE revealed genes enriched in cellular responses to LPS, host defense to viruses and type-I interferon signaling. In silico analyses identified common and unique EoE disease gene drivers in PPI-R and PPI-UR EoE. These studies indicate that the two EoE phenotypes have unique transcriptomic elements that underlie the molecular nature of PPI-R and PPI-UR EoE disease.
Published in
Unique epithelial proliferative transcriptomic signature in proton pump inhibitor-responsive pediatric eosinophilic esophagitis
Chakraborty S, Sharma A, Marella S et al. · JCI insight 2025 · PMID 41059573 · doi:10.1172/jci.insight.178595
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 GSE303169_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 PRJNA1294278 and SRA study SRP602392. Searching any of these in the dataset finder brings you back here.

Study design
25 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 10 samples read as cases, 5 as controls.

How we read this: Read from 25 sample titles: 25 distinct titles with little repetition. 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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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.