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Total RNA-seq of mouse olfactory epithelium in response to single odorants and binary mixtures

GSE296359 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/10/09 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 8 conditions, mostly in triplicateGroups 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
Stable olfactory receptor activation across odor complexityiScience · 2025
Summary (written by the submitters)
Total RNA was extracted from olfactory epithelium tissues of mice exposed to single odorants (acetophenone, decanal, octanal, and cis-3-hexenol) or binary mixtures (acetophenone–decanal and octanal–cis-3-hexenol). The extracted RNA was subjected to high-throughput sequencing to profile genome-wide transcriptional changes across all cell types of the olfactory epithelium following odor stimulation.
Read the full summary ↓
This dataset provides a baseline reference for comparing odor-induced gene expression programs in the olfactory epithelium with transcriptomic profiles obtained from odor-activated neuronal populations enriched by pS6 immunoprecipitation.
Published in
Stable olfactory receptor activation across odor complexity
Kim M, Lee J, Park I et al. · iScience 2025 · PMID 41244577 · doi:10.1016/j.isci.2025.113740
This dataset
Open GSE296359 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 GSE296359_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: 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 PRJNA1258984 and SRA study SRP583119. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41244577) ↗
Study design
8 conditions, mostly in triplicate
C57BL/6J, Olfactory epithelium, total RNA, AD… ×3 C57BL/6J, Olfactory epithelium, total RNA, AD… ×3 C57BL/6J, Olfactory epithelium, total RNA, AD… ×3 C57BL/6J, Olfactory epithelium, total RNA, AD… ×3 C57BL/6J, Olfactory epithelium, total RNA, OC… ×3 C57BL/6J, Olfactory epithelium, total RNA, OC… ×3 C57BL/6J, Olfactory epithelium, total RNA, OC… ×3 C57BL/6J, Olfactory epithelium, total RNA, OC… ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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

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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.