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Metabolic reprogramming and ferroptosis occurring in granulosa cells from patients with diminished ovarian reserve

GSE286918 Homo sapiens (human) RNA-seq (gene expression) 116 samples Submitted 2026/02/01 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 116 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
Homo sapiens (human)
Samples
116 samples: 36 × granulosa cells, diminished ovarian reserve, old, No vs 34 × granulosa cells, normal ovarian reserve, young, No vs 26 × granulosa cells, diminished ovarian reserve, young, No vs 20 × granulosa cells, normal ovarian reserve, old, NoGroups 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)
Granulosa cell (GC) dysfunction contributes to diminished ovarian reserve (DOR). We collected GC and follicular fluid samples from the patients of normal ovarian reserve (NOR) and DOR. RNA-seq of GCs showed that cholesterol/sterol metabolism and biosynthesis and extracellular matrix organization were enriched in the DOR group. Metabolomics of follicular fluid revealed enrichment in steroid hormone biosynthesis, tryptophan metabolism, and fatty acid β-oxidation in DOR.
Read the full summary ↓
The apoptosis rate was increased, whereas the proliferative rate was decreased in GCs of DOR. The Prussian blue staining rate was increased whilst GPX4 and SLC7A11 expression were downregulated in GCs of DOR. Mitochondrial morphology displayed the features of ferroptosis in GCs of DOR. FSHR, CYP19A1, NR5A1, and phosphorylated CREB levels were substantially downregulated in GCs, accompanied by increased androgen levels in follicular fluids in DOR. The key factors linked to the mevalonate pathway, HMGCR, SQLE, and SREBF2, were robustly increased in DOR. FSHR and NR5A1 levels were correlated with CYP19A1 levels, whilst CYP19A1 levels were positively correlated with GPX4 and SLC7A11 levels. Our findings indicate ferroptosis and dysregulation of cholesterol/sterol metabolism and biosynthesis occurrence in GCs of DOR, which might be associated with reduced FSHR signaling and decreased conversion of androgen to estrogen.
This dataset
Open GSE286918 in finder → Find more human 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 GSE286918_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 PRJNA1210539 and SRA study SRP557278. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
36 × granulosa cells, diminished ovarian reserve, old, No vs 34 × granulosa cells, normal ovarian reserve, young, No vs 26 × granulosa cells, diminished ovarian reserve, young, No vs 20 × granulosa cells, normal ovarian reserve, old, No

Supports a between-group comparison across 116 samples.

How we read this: 4 replicated groups read from 116 sample titles; they account for 116 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

+ 76 more — browse all 116 samples with per-sample file links →

Datasets on a similar topic

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