← BioTransfer GEO Dataset Finder
GEO series

Lung gene expression in WT and estrogen receptor alpha and beta knockout mice exposed to house dust mites

GSE317602 Mus musculus (mouse) RNA-seq (gene expression) 72 samples Submitted 2026/02/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 72 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
72 samples: 12 conditions, mostly with about 5 replicates eachGroups 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
Estrogen receptor β regulates sex-dependent airway mechanics and inflammation in a murine model of allergen exposurePhysiological reports · 2026
Summary (written by the submitters)
Sex differences in asthma severity suggest that estrogen signaling plays a key regulatory role in airway inflammation and remodeling, yet the specific contribution of estrogen receptors (ERα and ERβ) remains poorly defined. Here, we investigated how ERα and ERβ shapes physiological, structural, and immunological responses to chronic allergen exposure by examining wild-type (WT), ERα knockout (Esr1⁻/⁻) and ERβ knockout (Esr2⁻/⁻) male and female mice subjected to 5-weeks of house dust mite (HDM) challenge.
Published in
Estrogen receptor β regulates sex-dependent airway mechanics and inflammation in a murine model of allergen exposure
Ekpruke CD, Rousselle D, Babayev M et al. · Physiological reports 2026 · PMID 42219575 · doi:10.14814/phy2.70948
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 GSE317602_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 PRJNA1414532 and SRA study SRP666487. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly with about 5 replicates each
F, Esr2KO, PBS, ×8 F, Esr2KO, HDM, ×7 F, WT, HDM, ×7 M, WT, PBS, ×6 M, WT, HDM, ×6 M, Esr2KO, HDM, ×6 F, WT, PBS, ×6 F, Esr1KO, HDM, ×5 +5 more

Supports a between-group comparison across 71 samples.

How we read this: 12 replicated groups read from 72 sample titles; they account for 71 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

+ 32 more — browse all 72 samples with per-sample file links →

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.