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CD97/ADGRE5 attenuates the induction of adaptive type 2 immune responses in allergic asthma

GSE339436 Mus musculus (mouse) RNA-seq (gene expression) 8 samples Submitted 2026/08/03 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 8 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
Mus musculus (mouse)
Samples
8 samples: 4 × CD11c+ OVA-pulsed BMDCs, wildtype, vs 4 × CD11c+ OVA-pulsed BMDCs, Cd97-/-,Groups 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.
Summary (written by the submitters)
Allergic asthma results from an uncontrolled type 2 immune response to inhaled allergens. Here, we investigate the role of CD97/ADGRE5, expressed in mouse and human immune and lung epithelial cells, in this disease. Female Cd97-/- mice exhibit an exacerbated asthmatic phenotype across multiple models, primarily due to CD97 loss on immune cells.
Read the full summary ↓
A single CD97 antibody treatment before allergen sensitization worsens allergic responses, highlighting a role for CD97 in early immune regulation. Post-sensitization, Cd97-/- mice display higher frequencies of lung conventional type 2 and monocyte-derived dendritic cells (DCs). Allergen-pulsed Cd97-/- bone marrow-derived DCs are more activated, promote enhanced proliferation and type 2 cytokine secretion by CD4⁺ OT-II cells, and induce stronger airway inflammation. Consistently, ADGRE5 expression is reduced in airway mucosa-derived mononuclear phagocyte subsets in human asthmatics after allergen-induced exacerbation. These results identify CD97 as a key regulator of DC-driven type 2 allergic responses and a potential target in asthma.
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 GSE339436_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 PRJNA1498669 and SRA study SRP720107. Searching any of these in the dataset finder brings you back here.

Study design
4 × CD11c+ OVA-pulsed BMDCs, wildtype, vs 4 × CD11c+ OVA-pulsed BMDCs, Cd97-/-,

Supports a between-group comparison across 8 samples.

How we read this: 2 replicated groups read from 8 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
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