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RNA-seq of mouse lung tissue after irradiation

GSE306230 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/09/02 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × RNA seq of Mouse IR_8d vs 3 × RNA seq of Mouse IR_11d vs 3 × RNA seq of Mouse IR_14d vs 3 × RNA seq of Mouse NoIGroups 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
N-phenylquinazolin-4-amine-based EGFR TKIs suppress pulmonary fibrosis by modulating the EGFR/ERBB3 axis in epithelial-macrophage interactionCommunications biology · 2025
Summary (written by the submitters)
High-dose ionizing radiation-induced pulmonary injury. To characterize these changes, we performed RNA sequencing (RNA-seq) on lung tissues isolated from mice exposed to 90 Gy irradiation. Samples were collected at 8, 11, and 14 days post-irradiation, and non-irratied controls. RNA was extracted and libraries were prepared using a stranded RNA-seq protocol, followed by sequencing on the Illumina platform. 해석
Published in
N-phenylquinazolin-4-amine-based EGFR TKIs suppress pulmonary fibrosis by modulating the EGFR/ERBB3 axis in epithelial-macrophage interaction
Kim JH, Choi SH, Nam JK et al. · Communications biology 2025 · PMID 41326761 · doi:10.1038/s42003-025-08940-w
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 GSE306230_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: 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 PRJNA1309721 and SRA study SRP610793. Searching any of these in the dataset finder brings you back here.

Study design
3 × RNA seq of Mouse IR_8d vs 3 × RNA seq of Mouse IR_11d vs 3 × RNA seq of Mouse IR_14d vs 3 × RNA seq of Mouse NoI

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 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.

Samples in this study
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