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The Dominant Role of Polyadenylation in Regulating Maternal mRNA Dynamics in Dormant Oocytes and the Function of ZAR1 in this Process_total RNA-seq

GSE276332 Mus musculus (mouse) Single-cell RNA-seq 12 samples Submitted 2025/03/11 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 12 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
12 samples: 3 × WT_GV vs 3 × WT_MII vs 3 × KO_GV vs 3 × KO_MIIGroups 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
ZAR1 and ZAR2 orchestrate the dynamics of maternal mRNA polyadenylation during mouse oocyte developmentGenome biology · 2025
Summary (written by the submitters)
During the meiosis, the oocytes will keep dormant for a long time that the transcription will not be activated until zygotic genome activation (ZGA), thus the dynamic and homeostasis of maternal transcriptome deserved to be explored. In the previous researches, the maternal transcripts were reported to be drastically down-regulated by using Smart-seq2.
Read the full summary ↓
However, we found out that the detection of Smart-seq2 can be biased by the polyA tail length of mRNAs due to the oligo-d(T) primer. In contrast, the down-regulation of maternal transcripts detected by total RNA-seq was relatively small, and the dynamic of polyA tail length were much acuter. ZAR1 is an RBP that had been reported to be important to stablize maternal mRNA. However, the differential expression of maternal transcripts in Zar1/2-/- oocytes were also different when detected by total RNA-seq and Smart-seq2, which hinted an interruption of polyadenylation. By combining total RNA-seq, LACE-seq, PAIso-seq2 and IP-MS and found out that ZAR1 may target the CDS of maternal transcripts and regulate its stability in GV stage oocytes and by interacting with other proteins to regulate the polyadenylation of mRNAs. In this research, by jointly analyzing multi-omics data, we discussed the limitation of Smart-seq2 on oocytes, reexplored the dynamic of maternal transcriptome and reported the new roles of ZAR1 on regulating maternal transriptome.
Published in
ZAR1 and ZAR2 orchestrate the dynamics of maternal mRNA polyadenylation during mouse oocyte development
Wu YK, Su R, Jiang ZY et al. · Genome biology 2025 · PMID 40340906 · doi:10.1186/s13059-025-03593-8
This dataset
Open GSE276332 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 GSE276332_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1156686 and SRA study SRP530464. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40340906) ↗
Study design
3 × WT_GV vs 3 × WT_MII vs 3 × KO_GV vs 3 × KO_MII

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
Datasets on a similar topic

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