Single-cell transcriptomics of female fetal mouse ovarian cells
Single-cell RNA-seq · mouse · 26 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 26 samples
- 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.
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 GSE215054_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 PRJNA888131 and SRA study SRP401553. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run s030704 … s050547 and carry no group information.
- GSM6620589 s030704
- GSM6620590 s030705
- GSM6620591 s030708
- GSM6620592 s030711
- GSM6620593 s030712
- GSM6620594 s030714
- GSM6620595 s050516
- GSM6620596 s050518
- GSM6620597 s050520
- GSM6620598 s050522
- GSM6620599 s050523
- GSM6620600 s050525
- GSM6620601 s050526
- GSM6620602 s050528
- GSM6620603 s050529
- GSM6620604 s050531
- GSM6620605 s050532
- GSM6620606 s050534
- GSM6620607 s050535
- GSM6620608 s050537
- GSM6620609 s050538
- GSM6620610 s050540
- GSM6620611 s050541
- GSM6620612 s050544
- GSM6620613 s050545
- GSM6620614 s050547
- GSE267729 Single-Cell Transcriptomics Reveals Ovarian Aging and Senescent Cell Accumulation underlying the Estropausal Transition in Mice 18 samples shares single-cell, ovarian
- GSE241318 Asynchronous female reproductive organ ageing as revealed by single-cell transcriptomic atlas 21 samples shares single-cell, female
- GSE192687 Single-cell RNAseq analysis of renal endothelial cells in murine diabetic nephropathy 5464 samples shares single-cell
- GSE239602 Single-cell and spatial transcriptomics uncovers the role of senescent vascular cells in pathological arterial remodeling during murine atherosclerosis 82 samples shares single-cell
- GSE290574 Gene Regulatory Networks Orchestrating Oocyte Fate Bifurcation in Primordial Follicles Revealed by Single-Cell Transcriptomics 386 samples shares single-cell
- GSE309471 Single-cell RNA sequencing of lung cells from bleomycin-induced and doxycycline-inducible TGF-β transgenic mouse models of pulmonary fibrosis 46 samples shares single-cell
- GSE277789 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add] 830 samples shares single-cell
- GSE313761 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity - scRNA-seq of Adam12CKO Mouse Model CD45- cells 11 samples shares single-cell
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.