← BioTransfer GEO Dataset Finder
GEO series

Transcriptomic profiling of liver tissue from control, DHT-induced PCOS-NAFLD model, and baicalin-treated mice using RNA-seq

GSE305214 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/09/24 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 4 × Control vs 4 × PCOS-NAFLD vs 4 × BA-treatedGroups 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
Baicalin mitigates polycystic ovary syndrome‑associated non‑alcoholic fatty liver disease by inhibiting the AR/SREBP1 axisInternational journal of molecular medicine · 2025
Summary (written by the submitters)
This study aimed to characterize the liver transcriptomic changes in a mouse model of polycystic ovary syndrome (PCOS)–related non-alcoholic fatty liver disease (NAFLD) and to assess the therapeutic effects of baicalin (BA). Female C57BL/6J mice were implanted subcutaneously with dihydrotestosterone (DHT) pellets to induce PCOS-NAFLD.
Read the full summary ↓
Liver tissues from control, model, and BA-treated mice were collected for RNA sequencing (RNA-seq). Differential gene expression and functional enrichment analyses were performed to identify biological processes and pathways associated with disease progression and BA intervention.
Published in
Baicalin mitigates polycystic ovary syndrome‑associated non‑alcoholic fatty liver disease by inhibiting the AR/SREBP1 axis
Jin BH, Xu H, Zhang ZY et al. · International journal of molecular medicine 2025 · PMID 40937579 · doi:10.3892/ijmm.2025.5630
This dataset
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.

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 GSE305214_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1304770 and SRA study SRP608324. Searching any of these in the dataset finder brings you back here.

Study design
4 × Control vs 4 × PCOS-NAFLD vs 4 × BA-treated

Supports a case/control comparison: 4 samples read as cases, 4 as controls.

How we read this: 3 replicated groups read from 12 sample titles; they account for 12 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 →

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.