← BioTransfer GEO Dataset Finder
GEO series

Distinct HPO axis responses to chronic unpredictable stress in young versus adult female mice

GSE329024 Mus musculus (mouse) RNA-seq (gene expression) 63 samples Submitted 2026/06/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 63 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
63 samples: 16 conditions, mostly with about 4 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.
Summary (written by the submitters)
Environmental and psychosocial stressors constitute major external determinants that accelerate the decline of ovarian function. As a classical paradigm for modeling chronic psychological stress, chronic unpredictable mild stress (CUMS) has been extensively employed to elucidate stress-induced perturbations in reproductive and endocrine homeostasis, as well as their contribution to the development of premature ovarian insufficiency (POI).
Read the full summary ↓
Nevertheless, CUMS exposure initiated at different ages or administered for varying durations yields markedly heterogeneous physiological responses, and the extent to which these experimental conditions recapitulate the characteristics of long-term stress experienced by women in clinical settings remains insufficiently defined.Female C57BL/6 mice at 2 or 6 months of age were subjected to CUMS for 8 or 12 weeks. Endocrine profiling, hypothalamic–pituitary–ovarian (HPO) axis feedback responses, ovarian histology, and HPO axis transcriptomes were systematically analyzed.
This dataset
Open GSE329024 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 GSE329024_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 PRJNA1457395 and SRA study SRP694519. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
16 conditions, mostly with about 4 replicates each
6M-8W-Ova-Ctrl ×4 6M-8W-Ova-CUMS ×4 2M-12W-Ova-Ctrl ×4 2M-12W-Ova-CUMS ×4 2M-8W-Ova-Ctrl ×4 2M-8W-Ova-CUMS ×4 6M-12W-Ova-CUMS ×4 6M-8W-Pit-Ctrl ×4 +8 more

Supports a between-group comparison across 63 samples.

How we read this: 16 replicated groups read from 63 sample titles; they account for 63 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

+ 23 more — browse all 63 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.