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pS6 immunoprecipitation RNA-seq of mouse olfactory epithelium in response to single odorants, binary mixtures, and complex fragrances

GSE296360 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2025/10/09 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 36 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
36 samples: 12 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)
Phosphorylation of ribosomal protein S6 (pS6) serves as a molecular marker of neuronal activation by external stimuli. In this study, olfactory epithelium tissues were collected from mice exposed to single odorants (acetophenone, decanal, octanal, and cis-3-hexenol), binary mixtures (acetophenone–decanal and octanal–cis-3-hexenol), or complex fragrances (floral, mint, and floral–mint combination).
Read the full summary ↓
To selectively capture transcripts undergoing active translation in odor-activated cells, pS6-associated ribosome complexes were isolated from tissue lysates through immunoprecipitation. The enriched mRNAs were subsequently purified and subjected to RNA sequencing, enabling transcriptomic profiling specifically within odor-activated neuronal populations, particularly olfactory sensory neurons. This approach provides a targeted view of gene expression programs induced by diverse odor stimulation paradigms in the heterogeneous olfactory epithelium.
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 GSE296360 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 GSE296360_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 PRJNA1258983 and SRA study SRP583126. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41244577) ↗
Study design
12 conditions, mostly in triplicate
C57BL/6J, Olfactory epithelium, pS6-IP, AD co… ×3 C57BL/6J, Olfactory epithelium, pS6-IP, AD co… ×3 C57BL/6J, Olfactory epithelium, pS6-IP, AD co… ×3 C57BL/6J, Olfactory epithelium, pS6-IP, AD co… ×3 C57BL/6J, Olfactory epithelium, pS6-IP, OC co… ×3 C57BL/6J, Olfactory epithelium, pS6-IP, OC co… ×3 C57BL/6J, Olfactory epithelium, pS6-IP, OC co… ×3 C57BL/6J, Olfactory epithelium, pS6-IP, OC co… ×3 +4 more

Supports a between-group comparison across 36 samples.

How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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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