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Differing Epithelial and Immunologic Activation Patterns Following Food Reintroduction Reveal Differential Transcriptional Profiles in Active Eosinophilic Esophagitis

GSE278888 Homo sapiens (human) RNA-seq (gene expression) 28 samples Submitted 2024/10/09 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 28 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
28 samples: 28 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
Differing Epithelial and Immunologic Activation Patterns Following Food Reintroduction Reveal Different Transcriptional Profiles in Active Eosinophilic EsophagitisGastroenterology · 2025
Summary (written by the submitters)
During food trigger reintroductions, eosinophilia can recur in a patchy manner both endoscopically and histologically. We postulated that areas containing low eosinophils represented the early stage of EoE recurrence, while areas with >15 eos/HPF represented established active EoE. We identified ten patients with prior pan-esophageal EoE who experienced patchy eosinophilia during trigger food reintroduction.
Read the full summary ↓
The progression of recurrent EoE is illustrated by the transcriptional changes occurring from baseline remission through recurrent low and high eosinophil tissues in those with paired time points. We identified novel genes of cytokine regulation distinct to the low eosinophil tissue, indicating involvement of such cytokines before the onset of diagnostic eosinophilic infiltration. The advancement to robust eosinophil is associated with more severe epithelial injury in conjunction with further inflammation. Utilization of a food antigen re-exposure model elucidates immunological and epithelial changes that instigate and perpetuate the development of EoE.
Published in
Differing Epithelial and Immunologic Activation Patterns Following Food Reintroduction Reveal Different Transcriptional Profiles in Active Eosinophilic Esophagitis
Pyne AL, Uchida AM, Hazel MW et al. · Gastroenterology 2025 · PMID 39490770 · doi:10.1053/j.gastro.2024.10.024
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 GSE278888_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 PRJNA1169364 and SRA study SRP536810. Searching any of these in the dataset finder brings you back here.

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

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

How we read this: Read from 28 sample titles: 28 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.