← BioTransfer GEO Dataset Finder
GEO series

The degradation of maternal RNA-binding protein 4E-T regulates translational activation to ensure maternal-to-zygotic transition in mouse embryos

GSE314859 Mus musculus (mouse) RNA-seq (gene expression) 67 samples Submitted 2026/07/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 67 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
67 samples: 23 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.
Summary (written by the submitters)
The maternal-to-zygotic transition (MZT) is essential for early embryonic development, comprising zygotic genome activation (ZGA) as well as the degradation of maternal RNAs and proteins. Current research on MZT has primarily focused on the maternal activators, while the role of repressors in this process remains largely unexplored. In our study, we inhibited protein degradation at the one-cell stage using the proteasome inhibitor MG132 and observed impaired pre-implantation development and defective ZGA.
Read the full summary ↓
Proteomic analysis of MG132-treated embryos showed that significantly up-regulated proteins in abundance were enriched for RNA-binding proteins (RBPs). Further functional screening highlighted one critical factor, 4E-T (EIF4ENIF1), whose overexpression caused two-cell stage arrest and failure of ZGA initiation. Moreover, the abnormal accumulation of 4E-T repressed translational activation and decreased ZBED3, KDM4A, etc., key factors expression in 1-cell embryo, which connected with interactions of 4E-T with eIF4E and eIF4E1B. These findings suggest that specific maternal RBP may act as repressors that require precise degradation post-fertilization to relieve translational repression and ensure successful MZT.
This dataset
Open GSE314859 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 GSE314859_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 PRJNA1393031 and SRA study SRP657629. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
23 conditions, mostly in triplicate
RNA_MII_control ×3 RNA_13hpi_control ×3 RNA_13hpi_MG132-treated ×3 RNA_17hpi_control ×3 RNA_17hpi_MG132-treated ×3 RNA_25hpi_control ×3 RNA_25hpi_MG132-treated ×3 RNA_31hpi_control ×3 +15 more

Supports a case/control comparison: 32 samples read as cases, 21 as controls.

How we read this: 23 replicated groups read from 67 sample titles; they account for 67 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

+ 27 more — browse all 67 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.