Transcriptional changes of Tex10 in purified primordial gem cell-like cells (PGCLCs) at day2 and day6
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: 5 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
- Pluripotency factor Tex10 finetunes Wnt signaling for spermatogenesis and primordial germ cell developmentNature 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 GSE288151_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: 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 PRJNA1216290 and SRA study SRP560242. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 5 replicated groups read from 12 sample titles; they account for 10 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.
- GSM8760095 D2-EV1 D2-EV
- GSM8760096 D2-EV2 D2-EV
- GSM8760097 D2-OE1 D2-OE
- GSM8760098 D2-OE2 D2-OE
- GSM8760099 D2-C1 D2-C
- GSM8760100 D2-C2 D2-C
- GSM8760101 D2-dATG1
- GSM8760102 D2-dTAG2
- GSM8760103 D6-EV1 D6-EV
- GSM8760104 D6-EV2 D6-EV
- GSM8760105 D6-OE1 D6-OE
- GSM8760106 D6-OE2 D6-OE
- GSE288153 Tex10 in day2 embryonic bodies (EBs) 2 samples shares tex10, day2
- GSE288186 Pluripotency factor Tex10 finetunes Wnt signaling for spermatogenesis and primordial germ cell development 30 samples shares tex10, primordial
- GSE288152 Transcriptional changes of spermatogenic cells by Tex10 deficiency 16 samples shares tex10, changes
- GSE256104 Scalable and Efficient Generation of Mouse Primordial Germ Cell-like Cells 15 samples shares primordial, cell-like
- GSE40716 Offspring from oocytes derived from in vitro primordial germ cell-like cells in mice 12 samples shares primordial, cell-like
- GSE255212 Transcriptomic Signatures of WNT-Driven Pathways and Granulosa Cell-Oocyte Interaction during Primordial Follicle Activation 762 samples shares primordial
- GSE290574 Gene Regulatory Networks Orchestrating Oocyte Fate Bifurcation in Primordial Follicles Revealed by Single-Cell Transcriptomics 386 samples shares primordial
- GSE289335 TRIM37 interacts with TRIM28 to maintain primordial germ cell identity during migration [bulkRNA-seq, scRNA-seq] 127 samples shares primordial
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.