RNA-Seq of lung fibroblasts of Atm defecient and wildtype mice.
RNA-seq (gene expression) · mouse · 15 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
- 15 samples: 6 conditions, mostly in duplicateGroups 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
- The cGAS-STING, p38 MAPK, and p53 pathways link genome instability to accelerated cellular senescence in ATM-deficient murine lung fibroblastsProceedings of the National Academy of Sciences of the United States of America · 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 GSE185673_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: 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 PRJNA770363 and SRA study SRP340866. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 6 replicated groups read from 15 sample titles; they account for 12 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.
- GSM5621485 IR1 p.2
- GSM5621486 IR2 p.2
- GSM5621487 IR3 p.2
- GSM5621488 WT1 p.2 WT1 p
- GSM5621489 WT2 p.2 WT2 p
- GSM5621490 WT3 p.2 WT3 p
- GSM5621491 AT1 p.2 AT1 p
- GSM5621492 AT2 p.2 AT2 p
- GSM5621493 AT3 p.2 AT3 p
- GSM5621494 WT1 p.8 WT1 p
- GSM5621495 WT2 p.8 WT2 p
- GSM5621496 WT3 p.8 WT3 p
- GSM5621497 AT1 p.8 AT1 p
- GSM5621498 AT2 p.8 AT2 p
- GSM5621499 AT3 p.8 AT3 p
- GSE226609 Mouse lung tissue RNA-Seq from C57Bl6 wild type and ALOX15 KO mice with and without house dust mite (HDM) exposure. 20 samples shares rna-seq, lung
- GSE331228 RNA-seq profiling of liver and lung of CLP mice(6h) 12 samples shares rna-seq, lung
- GSE300288 Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [scRNA-seq] 31 samples shares rna-seq, lung
- GSE182731 Inhibition of ATM in Mouse-derived lung fibroblasts 27 samples shares fibroblasts, lung
- GSE264278 TIme-cource single-cell RNA-seq analysis of bleomycin and LPS-induced lung injury and fibrosis 18 samples shares rna-seq, lung
- GSE297298 Single-cell RNA-sequencing identifies anti-cancer immune phenotypes in the early lung metastatic niche during breast cancer 18 samples shares rna-seq, lung
- GSE306230 RNA-seq of mouse lung tissue after irradiation 12 samples shares rna-seq, lung
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares rna-seq
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.