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Light and sex modify Snord116 genotype effects on metabolism, behavior, and imprinted gene networks following circadian entrainment

GSE297702 Mus musculus (mouse) RNA-seq (gene expression) 219 samples Submitted 2025/05/22 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 219 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
219 samples: 219 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
Mammals utilize imprinted and X-linked epigenetic mechanisms in development, metabolism, and behavior. Imprinted genes, including Prader-Willi syndrome Snord116 noncoding RNAs, are implicated in the regulation of sleep and circadian rhythms through poorly understood mechanisms. Utilizing mouse models of Snord116 deficiency and overexpression, we performed an integrated, sex-stratified analysis of free running behaviors, indirect calorimetry, and cortical transcriptomes following entrainment to a 22 hour light:dark T-cycle.
Read the full summary ↓
We observed significant interactions of sex, entrainment, and Snord116 genotype in period length at baseline and after-effects of post-entrainment. Snord116 deletion’s effect on respiratory exchange ratio was light sensitive, with sex and entrainment effects dominant under total darkness. Snord116 genotype impacted both rhythmic and non-rhythmic cortical gene networks that integrated sex, light, and entrainment effects with genotype-phenotype correlations. A co-expressed gene network enriched for imprinted, Snord116-target, and Xist-proximal long noncoding RNAs was identified as a light-sensitive regulatory hub of sexual dimorphic responses to a dynamic environment.
This dataset
Open GSE297702 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 GSE297702_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 PRJNA1265732 and SRA study SRP586745. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
219 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 219 sample titles: 219 distinct titles with little repetition. 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

+ 179 more — browse all 219 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.