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Increased pulmonary blood flow leads to alveolar dysplasia at early postnatal developmental stage

GSE280388 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/12/09 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 5 × p14_ipf vs 5 × p14_shamGroups 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
Increased pulmonary blood flow leads to alveolar dysplasia during the early postnatal developmental stageCell & bioscience · 2025
Summary (written by the submitters)
We reported the RNAseq analyses of lung in two groups of mice (5 in each group) at postnatal day 14 (P14). The mice in increased pulmonary blood flow (IPF) group underwent an abdominal surgery by puncture from aorta to inferior vena cava at P7, mice in Sham group underwent the same surgery except for the puncture. The results revealed that there were differentially expressed genes between VO and sham group at P14.
Published in
Increased pulmonary blood flow leads to alveolar dysplasia during the early postnatal developmental stage
Zhang H, Zheng S, Wang Z et al. · Cell & bioscience 2025 · PMID 41287066 · doi:10.1186/s13578-025-01502-x
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 GSE280388_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 PRJNA1178287 and SRA study SRP541431. Searching any of these in the dataset finder brings you back here.

Study design
5 × p14_ipf vs 5 × p14_sham

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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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