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Reversibility of long-term changes to pulmonary function post early life respiratory viral infection

GSE190762 Mus musculus (mouse) RNA-seq (gene expression) 144 samples Submitted 2024/12/05 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 144 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
144 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)
Respiratory viral infections in early life are associated with the development of lung diseases that can persist into adulthood, but the underlying mechanisms are not well understood.We aimed to characterise virus-induced changes to pulmonary gene networks that are linked to impairement of lung development and function. Male and female BALB/c mice were inoculated at seven days of life with either Influenza A/Puerto Rico/8/34 (H1N1), Influenza A/Memphis/1/71 (H3N2) or phosphate buffered saline (PBS), and randomly sacrificed seven, fourteen and twenty-eight days post inoculation.
Read the full summary ↓
Bulk RNAseq was performed on whole lung tissue for each sex, experimental group and timepoint.
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 GSE190762_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 PRJNA788449 and SRA study SRP350502. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 144 individual samples

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

How we read this: Sample titles run LH001 … LH144 and carry no group information.

Samples in this study

+ 104 more — browse all 144 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.