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Single-cell transcriptional profiling of wildtype Rosa26(YFP) (Y) and Kras(G12D) p53(-/-) Rosa26-YFP (KPY) lung AT2 epithelial cells, AT2 organoids, and co-cultured mesenchymal cells with temporal resolution

GSE253461 Mus musculus (mouse) Single-cell RNA-seq 39 samples Submitted 2024/04/02 Platform GPL19057
At a glance

Single-cell RNA-seq · mouse · 39 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
39 samples: 39 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
Early-stage lung cancer is driven by a transitional cell state dependent on a KRAS-ITGA3-SRC axisThe EMBO journal · 2024
Summary (written by the submitters)
The aim of this study was to examine the transcriptional dynamics of AT2 progenitor cells and their surrounding mesenchyme in lung adenocarcinoma across model systems, using temporal and single-cell resolution.
Published in
Early-stage lung cancer is driven by a transitional cell state dependent on a KRAS-ITGA3-SRC axis
Moye AL, Dost AF, Ietswaart R et al. · The EMBO journal 2024 · PMID 38755258 · doi:10.1038/s44318-024-00113-5
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 GSE253461_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: 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 PRJNA1065850 and SRA study SRP484209. Searching any of these in the dataset finder brings you back here.

Study design
39 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 39 sample titles: 39 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
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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.