← BioTransfer GEO Dataset Finder
GEO series

RNA-binding proteins DND1 and NANOS3 coordinately suppress SOX4 in processing bodies for restricting the entry of germ cell lineage

GSE268946 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2025/02/01 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Samples
36 samples: 18 conditions, mostly in duplicateGroups 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
RNA-binding proteins DND1 and NANOS3 cooperatively suppress the entry of germ cell lineageNature communications · 2025
Summary (written by the submitters)
Specification of germ cell fate establishes the germline development during early embryogenesis, yet the underlying mechanisms remain largely unknown in humans. Here we focus on the functional roles of the RNA-binding protein (RBP) DND1 in human germline specification. We deleted the whole genomic region of DND1 in human embryonic stem cells (hESCs), based on which we generated human primordial germ cell-like cells (hPGCLCs).
Read the full summary ↓
Interestingly, we discovered an increased percentage of hPGCLCs induced from DND1 deleted hESCs, suggesting that DND1 may restrict the specification of human germ cell lineage. Mechanistic investigation reveals that DND1 forms a complex with another RBP NANOS3, in which DND1 facilitates the binding of NANOS3 to their target mRNAs. Furthermore, by analyzing the mRNAs bound by DND1 and NANOS3, we identified SOX4 mRNAs as the key downstream factor for DND1 and NANOS3 complex to restrict the induction of hPGCLCs. Interestingly, DND1 and NANOS3 function in processing bodies (P-bodies) to repress the translation of SOX4 mRNAs, where NANOS3 bridges the interaction between DND1 and the translational repressor 4E-T. Altogether, these findings identify the RBPs DND1 and NANOS3 as “break system” to restrict the entry of germ cell fate in humans.
Published in
RNA-binding proteins DND1 and NANOS3 cooperatively suppress the entry of germ cell lineage
Wang Z, Yu H, Gu Z et al. · Nature communications 2025 · PMID 40410171 · doi:10.1038/s41467-025-57490-6
This dataset
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.

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 GSE268946_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1112576 and SRA study SRP508265. Searching any of these in the dataset finder brings you back here.

Study design
18 conditions, mostly in duplicate
Control H1,hESC, ×2 DND1-KO,hESC, ×2 DND1-ADAR,hESC, ×2 NANOS3-KO,hESC, ×2 NANOS3-ADAR,hESC, ×2 Control H1,hPGCLC,day4, ×2 CE-DND1-rAPOBEC1+NANOS3-ADAR,hESC, ×2 DND1-KO,hPGCLC,day4, ×2 +10 more

Supports a between-group comparison across 36 samples.

How we read this: 18 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
Datasets on a similar topic

Search all human 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.