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Genetic background and transient prenatal disruption of vitamin A signaling determine susceptibility to airway hyperresponsiveness in mice

GSE307765 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2026/01/28 Platform GPL34290Platform GPL30172
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 24 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
24 samples: 4 × e14.5 lung B6 control vs 4 × e14.5 lung B6 BMS vs 4 × e14.5 lung AJ control vs 3 × e14.5 lung AJ BMSGroups 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
Genetic background and transient prenatal disruption of vitamin A signaling determine susceptibility to airway hyperresponsiveness in micebioRxiv : the preprint server for biology · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Genetic background and transient prenatal disruption of vitamin A signaling determine susceptibility to airway hyperresponsiveness in mice
Otoshi T, Kameshwar AKS, Kotton BD et al. · bioRxiv : the preprint server for biology 2025 · PMID 41279414 · doi:10.1101/2025.10.31.685835
This dataset
Open GSE307765 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE307765_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1327287 and SRA study SRP618726. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41279414) ↗
Study design
4 × e14.5 lung B6 control vs 4 × e14.5 lung B6 BMS vs 4 × e14.5 lung AJ control vs 3 × e14.5 lung AJ BMS

Supports a between-group comparison across 15 samples.

How we read this: 4 replicated groups read from 24 sample titles; they account for 15 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 →

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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.