Comparative analysis of mouse and human ovaries across age [mouse data]
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: 12 samples, each with a distinct title — no replicated groupsGroups 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
- Comparative analysis of human and mouse ovaries across ageScience (New York, N.Y.) · 2025
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 GSE290742_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 PRJNA1229872 and SRA study SRP567019. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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.
- GSM8821060 Young1_10X
- GSM8821061 Young1_PlateSeq
- GSM8821062 Young2_10X
- GSM8821063 Young2_PlateSeq
- GSM8821064 Young3_10X
- GSM8821065 Young3_PlateSeq
- GSM8821066 Aged1_10X
- GSM8821067 Aged1_PlateSeq
- GSM8821068 Aged2_10X
- GSM8821069 Aged2_PlateSeq
- GSM8821070 Aged3_10X
- GSM8821071 Aged3_PlateSeq
- GSE270197 Comparative Analysis of In vivo Endothelial Cell Translatomes Across Central Nervous System Vascular Beds (Tie2) 18 samples shares comparative, across
- GSE205592 Obesity-instructed TREM2-high macrophages identified by comparative analysis of diabetic mouse and human kidney at single-cell resolution [scRNA-seq: DKD_mouse] 41 samples shares comparative
- GSE205593 Obesity-instructed TREM2-high macrophages identified by comparative analysis of diabetic mouse and human kidney at single-cell resolution [scRNA-seq: Baseline_mouse] 24 samples shares comparative
- GSE262157 Comparative analysis of mouse strains for in vivo induction of reprogramming factors 96 samples shares comparative
- GSE304010 A transcriptomic microglia taxonomy across mouse and human pathologies 74 samples shares across
- GSE272152 Optimizing murine sample sizes for RNA-seq studies revealed from large-scale comparative analysis 479 samples shares comparative
- GSE284053 Comparative transcriptomic rhythms in the mouse and human prefrontal cortex 59 samples shares comparative
- GSE290088 Evolutionarily divergent transcriptomic programs in ovarian folliculogenesis across mice, monkeys and humans [Mouse] 54 samples shares across
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.