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Effects of Trigger-Day hCG Usage on DNA Methylation Alterations

GSE315316 Mus musculus (mouse) DNA methylation 124 samples Submitted 2026/05/14 Platform GPL24247
At a glance

DNA methylation · mouse · 124 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
124 samples: 12 conditions, mostly with about 6 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)
Assisted reproductive technology (ART) addresses infertility through supraphysiological procedures, yet the effects of trigger-day pharmacotherapy on epigenetic stability and offspring neurodevelopment remain unclear. We demonstrate that ART-conceived offspring exhibit relatively lower global methylation compared to naturally conceived (NC) peers.
Read the full summary ↓
For the first time, we identify that human chorionic gonadotropin (hCG) exposure on trigger day might exacerbate oocyte DNA methylation loss, further increasing risk of suboptimal neurodevelopment performance at age three in ART-conceived offspring. In a controlled mouse model, transient hCG-triggered exposure downregulates Ehmt1 and perturbs oocyte DNA methylation, potentially reducing neurogenesis and neurodevelopmental alterations in the offspring. Our findings reveal previously unrecognized epigenetic risks associated with higher dose hCG exposure in ART protocols, highlighting the need for optimized trigger protocols that balance treatment efficacy with long-term offspring health.
This dataset
Open GSE315316 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 GSE315316_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: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA1395629 and SRA study SRP659013. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 conditions, mostly with about 6 replicates each
blastocyst,smart_seq2,ctrl ×28 blastocyst,smart_seq2,hcg ×28 oocyte,scBS-seq,ctrl ×8 oocyte,scBS-seq,hcg ×8 blastocyst,scBS-seq,ctrl ×8 blastocyst,scBS-seq,hcg ×8 oocyte,smart_seq2,ctrl ×6 oocyte,smart_seq2,hcg ×6 +4 more

Supports a between-group comparison across 124 samples.

How we read this: 12 replicated groups read from 124 sample titles; they account for 124 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

+ 84 more — browse all 124 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.