← BioTransfer GEO Dataset Finder
GEO series

Amphiregulin-producing T helper 2 cells have critical role in esophageal fibrosis of EoE

GSE249276 Homo sapiens (human) Single-cell RNA-seq 12 samples Submitted 2024/08/05 Platform GPL24676Platform GPL24247
At a glance

Single-cell RNA-seq · human · 12 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
12 samples: 2 × mouse_EoE_Control_CD45 vs 2 × mouse_EoE_HDM_CD45 vs 2 × human_EoE_posi_CD45p vs 2 × human_Control_esophagitis_CD45pGroups 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
Amphiregulin-producing T(H)2 cells facilitate esophageal fibrosis of eosinophilic esophagitisThe journal of allergy and clinical immunology. Global · 2024
Summary (written by the submitters)
Background: Massive eosinophil infiltration into the esophagus causes subepithelial fibrosis and esophageal stricture in patients with eosinophilic esophagitis (EoE). However, the pathogenesis of esophageal fibrosis remains unclear. Objective: The present study aimed to elucidate the cellular and molecular mechanisms underlying the induction of esophageal fibrosis.
Read the full summary ↓
Methods: We established a murine model of EoE accompanied by fibrotic responses following long-term intranasal administration of house dust mite (HDM) antigen. Using this murine model, we investigated the characteristics of immune cells infiltrating the fibrotic region of the inflamed esophagus using flow cytometry and histological analyses. We also analyzed the local inflammatory sites in the esophagus of patients with EoE using single-cell RNA sequencing, flow cytometry, and immunohistochemistry.
Published in
Amphiregulin-producing T(H)2 cells facilitate esophageal fibrosis of eosinophilic esophagitis
Kaneko T, Iwamura C, Kiuchi M et al. · The journal of allergy and clinical immunology. Global 2024 · PMID 39040657 · doi:10.1016/j.jacig.2024.100287
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 GSE249276_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1048421 and SRA study SRP475793. Searching any of these in the dataset finder brings you back here.

Study design
2 × mouse_EoE_Control_CD45 vs 2 × mouse_EoE_HDM_CD45 vs 2 × human_EoE_posi_CD45p vs 2 × human_Control_esophagitis_CD45p

Supports a between-group comparison across 8 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 8 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

Search all 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.