← BioTransfer GEO Dataset Finder
GEO series

The translational landscape of mouse oocytes and preimplantation embryos revealed by high-resolution ribosome profiling

GSE263902 Mus musculus (mouse) RNA-seq (gene expression) 272 samples Submitted 2025/09/29 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 272 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
272 samples: 272 samples, each with a distinct title — no replicated groupsGroups 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
Spatiotemporal dynamics and selectivity of mRNA translation during mouse pre-implantation developmentNucleic acids research · 2025
Summary (written by the submitters)
Translational regulation plays a critical role during oocyte and preimplantation embryo development. Here, we utilized high resolution ribosome fractionation and low-input ribosome profiling of mouse oocytes and preimplantation embryos to explore the translational landscapes of early embryo development. The inconsistency was observed when comparing polysome-bound, monosome-bound, and free RNA profiles, indicating the role of ribosomes in manipulating RNA fate, especially for oocyte-to-embryo transition (OET) and zygotic genome activation (ZGA).
Read the full summary ↓
Moreover, eif1ad3 with its homologs, including eif1ad4, eif1ad6, eif1ad7, etc. are highly translated during ZGA and regulating the translational activity of other genes. Knocking down these genes lead to defective ZGA and preimplantation development. These data reveal that the transcriptome and translatome manipulate RNA fate collectively to regulate mouse preimplantation development.
Published in
Spatiotemporal dynamics and selectivity of mRNA translation during mouse pre-implantation development
Ming H, Iyyappan R, Kakavand K et al. · Nucleic acids research 2025 · PMID 40985772 · doi:10.1093/nar/gkaf956
This dataset
Open GSE263902 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 GSE263902_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 PRJNA1099886 and SRA study SRP501608. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40985772) ↗
Study design
272 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 272 sample titles: 272 distinct titles with little repetition. 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

+ 232 more — browse all 272 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.