RNA-binding proteins DND1 and NANOS3 coordinately suppress SOX4 in processing bodies for restricting the entry of germ cell lineage
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
Read the full summary ↓
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.
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.
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).
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.
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.
- GSM8302970 Control H1,hESC,rep1 Control H1,hESC,
- GSM8302971 Control H1,hESC,rep2 Control H1,hESC,
- GSM8302972 DND1-KO,hESC,rep1 DND1-KO,hESC,
- GSM8302973 DND1-KO,hESC,rep2 DND1-KO,hESC,
- GSM8302974 DND1-ADAR,hESC,rep1 DND1-ADAR,hESC,
- GSM8302975 DND1-ADAR,hESC,rep2 DND1-ADAR,hESC,
- GSM8302976 NANOS3-KO,hESC,rep1 NANOS3-KO,hESC,
- GSM8302977 NANOS3-KO,hESC,rep2 NANOS3-KO,hESC,
- GSM8302978 NANOS3-ADAR,hESC,rep1 NANOS3-ADAR,hESC,
- GSM8302979 NANOS3-ADAR,hESC,rep2 NANOS3-ADAR,hESC,
- GSM8302980 Control H1,hPGCLC,day4,rep1 Control H1,hPGCLC,day4,
- GSM8302981 Control H1,hPGCLC,day4,rep2 Control H1,hPGCLC,day4,
- GSM8302982 CE-DND1-rAPOBEC1+NANOS3-ADAR,hESC,rep1 CE-DND1-rAPOBEC1+NANOS3…
- GSM8302983 CE-DND1-rAPOBEC1+NANOS3-ADAR,hESC,rep2 CE-DND1-rAPOBEC1+NANOS3…
- GSM8302984 DND1-KO,hPGCLC,day4,rep1 DND1-KO,hPGCLC,day4,
- GSM8302985 DND1-KO,hPGCLC,day4,rep2 DND1-KO,hPGCLC,day4,
- GSM8302986 NANOS3-KO,hPGCLC,day4,rep1 NANOS3-KO,hPGCLC,day4,
- GSM8302987 NANOS3-KO,hPGCLC,day4,rep2 NANOS3-KO,hPGCLC,day4,
- GSM8302988 DND1-ADAR,hPGCLC,day4,rep1 DND1-ADAR,hPGCLC,day4,
- GSM8302989 DND1-ADAR,hPGCLC,day4,rep2 DND1-ADAR,hPGCLC,day4,
- GSM8302990 NANOS3-ADAR,hPGCLC,day4,rep1 NANOS3-ADAR,hPGCLC,day4,
- GSM8302991 NANOS3-ADAR,hPGCLC,day4,rep2 NANOS3-ADAR,hPGCLC,day4,
- GSM8302992 Control H1,endoderm,day5,rep1 Control H1,endoderm,day…
- GSM8302993 Control H1,endoderm,day5,rep2 Control H1,endoderm,day…
- GSM8302994 Control H1,mesoderm,day5,rep1 Control H1,mesoderm,day…
- GSM8302995 Control H1,mesoderm,day5,rep2 Control H1,mesoderm,day…
- GSM8302996 Control H1,ectoderm,day5,rep1 Control H1,ectoderm,day…
- GSM8302997 Control H1,ectoderm,day5,rep2 Control H1,ectoderm,day…
- GSM8302998 DND1-NANOS3-dKO,hPGCLC,day4,rep1 DND1-NANOS3-dKO,hPGCLC,…
- GSM8302999 DND1-NANOS3-dKO,hPGCLC,day4,rep2 DND1-NANOS3-dKO,hPGCLC,…
- GSM8727633 ADAR,hESC,rep1 ADAR,hESC,
- GSM8727634 ADAR,hESC,rep2 ADAR,hESC,
- GSM8727635 rAPOBEC1,hESC,rep1 rAPOBEC1,hESC,
- GSM8727636 rAPOBEC1,hESC,rep2 rAPOBEC1,hESC,
- GSM8727637 ADAR,hPGCLC,day4,rep1 ADAR,hPGCLC,day4,
- GSM8727638 ADAR,hPGCLC,day4,rep2 ADAR,hPGCLC,day4,
- GSE292717 Super-enhancers-driven SOX4/SMAD3 enhances AXL signaling via membrane phospholipid remodeling to accelerate leukemia progression [RNA-Seq] 42 samples shares sox4
- GSE298146 SOX4 Mediated Differentiation of Specific T Lymphocyte Subsets at the Maternal-Fetal Interface Contributes to Preterm Labor [RNA-Seq] 34 samples shares sox4
- GSE277540 GSK3β-Mediated Phosphorylation of SOX4 and Its Interaction with STAT6 to Regulate MTHFD2 Expression, NADPH Production, Cancer Stemness, and Prognosis in Hepatocellular Carcinoma 8 samples shares sox4
- GSE250129 SOX4 promotes T cell acute lymphoblastic leukemia progression 4 samples shares sox4
- GSE300358 TGFβ signaling promotes cell cycle progression and resistance to the CDK4/6 inhibitor palbociclib through SOX4 transcriptional modulation in breast cancer cells 40 samples shares sox4
- GSE112650 SOX4/11 Enhances NGN2 Reprogramming Glioblastoma Cells into Neuron Cells by Modulating RhoA and CDC42/RAC1 Pathway Activity 30 samples shares sox4
- GSE292716 Super-enhancers-driven SOX4/SMAD3 enhances AXL signaling via membrane phospholipid remodeling to accelerate leukemia progression [ChIP-seq] 20 samples shares sox4
- GSE298153 SOX4 Mediated Differentiation of Specific T Lymphocyte Subsets at the Maternal-Fetal Interface Contributes to Preterm Labor 16 samples shares sox4
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.