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Global and region-specific rules of airway epithelial development

GSE215957 Mus musculus (mouse) RNA-seq (gene expression) 478 samples Submitted 2026/02/16 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 478 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
478 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.
Summary (written by the submitters)
Lineage tracing experiment using a airway secretory specific Cre driver mouse. Airway secretory (club) cells were labelled from the beginning of the expression of the pansecretory marker Scgb1a1, at embryonic day 16.5 (E16.5) and samples were collected in four developmental stages (E19.5, P2, P21 and P60). Samples were collected right before activation of the Cre reporter, at E16.5, and served as control. We were interested to characterize the transcriptomic changes and uncover the molecular mechanisms that control the differentiation and maturation of the secretory cell lineage.
This dataset
Open GSE215957 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 GSE215957_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 PRJNA891342 and SRA study SRP403095. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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+ 478 more — browse all 478 samples with per-sample file links →

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