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scRNA-seq, snATAC-seq, and spatial transcriptomics analysis of mammary glands of aged female mice

GSE216542 Mus musculus (mouse) Spatial transcriptomics 22 samples Submitted 2024/09/29 Platform GPL24247
At a glance

Spatial transcriptomics · mouse · 22 samples

What it is
Spatial transcriptomicsGene activity measured with its position in a tissue section.
Organism
Mus musculus (mouse)
Samples
22 samples: 20 distinct titles, 2 of them repeatedGroups 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
Comprehensive single-cell aging atlas of healthy mammary tissues reveals shared epigenomic and transcriptomic signatures of aging and cancerNature aging · 2025
Summary (written by the submitters)
Aging results in changes in mammary gland cell proportions, gene expression, and chromatin accessibility. Cell types captured include epithelial, immune, and stromal cell types.
Published in
Comprehensive single-cell aging atlas of healthy mammary tissues reveals shared epigenomic and transcriptomic signatures of aging and cancer
Angarola BL, Sharma S, Katiyar N et al. · Nature aging 2025 · PMID 39587369 · doi:10.1038/s43587-024-00751-8
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 GSE216542_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: Spatial studies usually ship Space Ranger style folders (count matrix plus tissue images). Look for them among the supplementary files.

Also filed as BioProject PRJNA894189 and SRA study SRP404481. Searching any of these in the dataset finder brings you back here.

Study design
20 distinct titles, 2 of them repeated
Mammary Glands Cells, 18M, ST, ×2 Mammary Glands Cells, 3M, ×2

How we read this: Read from 22 sample titles: 20 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.

Samples in this study
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.