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Identification of the mesenchymal signals regulating embryonic mammary gland development

GSE225821 Mus musculus (mouse) RNA-seq (gene expression) 25 samples Submitted 2024/03/06 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 25 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
Mus musculus (mouse)
Samples
25 samples: 5 conditions, mostly with about 5 replicates eachGroups 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
Mesenchyme instructs growth while epithelium directs branching in the mouse mammary glandeLife · 2024
Summary (written by the submitters)
The development of branched organs like mammary and salivary glands is regulated by tissue interactions between the epithelial and mesenchymal tissues. Mammary gland consists of a branched epithelial ductal network embedded in a mammary specific mesenchyme. In order to uncover the molecular mechanisms regulating embryonic mammary gland development, we compared the transcriptomes of mesenchymes from different development stages and tissues by RNA-sequencing
Published in
Mesenchyme instructs growth while epithelium directs branching in the mouse mammary gland
Lan Q, Trela E, Lindström R et al. · eLife 2024 · PMID 38441552 · doi:10.7554/eLife.93326
This dataset
Open GSE225821 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE225821_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA937680 and SRA study SRP423931. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38441552) ↗
Study design
5 conditions, mostly with about 5 replicates each
E13.5_Mammary_Mes ×5 E13.5_Ventral_Skin_Mes ×5 E13.5_Salivary_Mes ×5 E16.5_Fatpad ×5 E16.5_Mammary_Mes ×5

Supports a between-group comparison across 25 samples.

How we read this: 5 replicated groups read from 25 sample titles; they account for 25 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.

Samples in this study
Datasets on a similar topic

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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.