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Early Decline of Conventional NK Cells During Acute Pseudomonas aeruginosa Lung Infection

GSE272417 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2024/08/13 Platform GPL24247
At a glance

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: 15 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
Multi-omics profiling of acute Pseudomonas aeruginosa pneumonia unmasks conventional NK cell depletion and stage-specific therapeutic targetsVirulence · 2025
Summary (written by the submitters)
To assess gene expression changes, RNA-sequencing technology was employed to map the temporal shifts in the transcriptional profile of the host lung post-infection. Our findings provide novel insights into the pathogenesis of PA pulmonary infections and offer valuable suggestions for inhalational infection protection and immunotherapy.
Published in
Multi-omics profiling of acute Pseudomonas aeruginosa pneumonia unmasks conventional NK cell depletion and stage-specific therapeutic targets
Zong F, Xiao N, Wang Y et al. · Virulence 2025 · PMID 40216004 · doi:10.1080/21505594.2025.2490206
This dataset
Open GSE272417 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE272417_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1136843 and SRA study SRP520468. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40216004) ↗
Study design
15 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 15 sample titles: 15 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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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