← BioTransfer GEO Dataset Finder
GEO series

IL-9 and Blimp-1 protect the transcriptional identity of group 2 innate lymphocytes in allergic asthma [RNA-seq]

GSE291231 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2025/05/07 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 14 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
14 samples: 4 × Unstim_mouse vs 4 × Stim_mouse vs 3 × Blimp1_WT, mouse vs 3 × Blimp1_KO, mouseGroups 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
IL-9 and Blimp-1 protects the transcriptional identity of group 2 innate lymphocytes in allergic asthmaResearch square · 2025
Summary (written by the submitters)
Type 2 inflammation in the lung underlies allergic asthma and promotes tumor metastasis. Type 2 innate lymphoid cells (ILC2s) respond to tissue damage signals including IL-33 and IL-25 and are implicated in type 2 inflammatory diseases of the lung, but the factors that maintain ILC2s ability to produce type 2 cytokines are not known. We show Blimp-1 is a key transcriptional repressor of type 1 genes induced by the type 2 cytokine IL-9 in ILC2s in response to tissue damage signals.
Read the full summary ↓
Loss of Blimp-1 in ILC2s altered inflammation in response to allergens, but also limited metastatic melanoma in the lung by limiting type 2 cytokines in favor of type I cytokines including IFNg and TNF. Thus, Blimp-1 protects the type 2 identity of ILC2s during lung inflammatory diseases.
Published in
IL-9 and Blimp-1 protects the transcriptional identity of group 2 innate lymphocytes in allergic asthma
Zheng Y, Zhang J, Yang A et al. · Research square 2025 · PMID 40297693 · doi:10.21203/rs.3.rs-6365283/v1
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 GSE291231_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 PRJNA1232618 and SRA study SRP568331. Searching any of these in the dataset finder brings you back here.

Study design
4 × Unstim_mouse vs 4 × Stim_mouse vs 3 × Blimp1_WT, mouse vs 3 × Blimp1_KO, mouse

Supports a between-group comparison across 14 samples.

How we read this: 4 replicated groups read from 14 sample titles; they account for 14 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 mouse 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.