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Intrauterine hyperglycemia impairs primordial germ cell development and fertility by sex-specific epigenetic reprogramming interference in mice offspring [RNA-seq]

GSE287234 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2025/07/28 Platform GPL34290
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
Intrauterine hyperglycemia impairs mouse primordial germ cell development and fertility by sex-specific epigenetic reprogramming interferenceCell discovery · 2025
Summary (written by the submitters)
Adverse intrauterine environments, such as hyperglycemia, impair the sexual reproduction and species continuous, yet the underlying mechanisms remain poorly understood. In this study, we demonstrated that intrauterine hyperglycemia significantly disrupted primordial germ cell (PGC) development, especially in female offspring and thus reduced fertility.
Read the full summary ↓
Using Oct4-EGFP transgenic mice with intrauterine hyperglycemia exposure, we revealed that hyperglycemia compromised sexually specific chromatin accessibility and DNA methylation reprogramming during PGC development. Particularly, in female PGCs, hyperglycemia leads to the aberrant retention of chromatin accessibility at pluripotency gene promoters such as Nanog and Tfap2c, inhibiting proper gene silencing and blocking the initiation of meiosis, which ultimately hinders oocyte maturation. Conversely, male PGCs exhibit less severe changes in chromatin accessibility and gene transcription. Intriguingly, the global DNA methylation reconstruction is impaired in male PGCs, particularly in key imprinted gene regions, suggesting potential developmental ramifications for later stages and even subsequent generations. Particularly, our findings indicate that intrauterine hyperglycemia adversely affects sex differentiation in PGCs by disrupting the expression of critical sex-determining transcription factors. Collectively, these findings highlight how intrauterine hyperglycemia interferes with sex-specific epigenetic reprogramming during PGC development, leading to abnormal germ cell development, reduced fertility, and adverse intergenerational effects.
Published in
Intrauterine hyperglycemia impairs mouse primordial germ cell development and fertility by sex-specific epigenetic reprogramming interference
Cong J, Li Q, Li Y et al. · Cell discovery 2025 · PMID 40921762 · doi:10.1038/s41421-025-00821-0
This dataset
Open GSE287234 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 GSE287234_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 PRJNA1211667 and SRA study SRP557893. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40921762) ↗
Study design
12 conditions, mostly in triplicate
RNA-seq_E13.5 female gonads control ×3 RNA-seq_E13.5 female gonads IUHG ×3 RNA-seq_E12.5 PGCs control ×3 RNA-seq_E12.5 PGCs IUHG ×3 RNA-seq_E13.5F PGCs control ×3 RNA-seq_E13.5F PGCs IUHG ×3 RNA-seq_E13.5M PGCs control ×3 RNA-seq_E13.5M PGCs IUHG ×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
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