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Integrated analysis of messenger RNA and microRNA in patients with community-acquired pneumonia associated sepsis (mRNA part)

GSE228541 Homo sapiens (human) RNA-seq (gene expression) 29 samples Submitted 2025/04/09 Platform GPL28038Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 29 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
Homo sapiens (human)
Samples
29 samples: 29 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
mRNA-miRNA integration analysis of T-cell exhaustion in sepsis from community-acquired pneumoniaAcute medicine & surgery · 2025
Summary (written by the submitters)
Background: Community-acquired pneumonia (CAP) is defined as an acute lung infection involving the alveoli that occurs in a patient without recent health care exposure. A complication of CAP is severe sepsis, a syndrome of infection often accompanied by systemic inflammation and organ dysfunction. The aim of this study was to evaluate mRNA and miRNA in whole blood and to perform an integrative analysis to assess cellular signals that play a role in the pathogenesis of patients with CAP-associated sepsis.
Read the full summary ↓
Methods: This was a prospective, observational, single-center study of patients transported to the Department of Traumatology and Acute Critical Medicine, Graduate School of Medicine, Osaka University. Patients with CAP-associated sepsis were analyzed. The diagnosis of pneumonia was made according to the clinical findings, including blood samples and chest computed tomography scan, and the diagnosis of sepsis followed the Sepsis-3 guidelines. Results: We included 14 critically ill patients with CAP-associated sepsis and 15 healthy control subjects (HCS). The median ages of the patient group and HCS were 78 and 55 years, and their body mass indexes were 22.8 and 21.7 kg/m2, respectively. All patients were treated at the critical care center, and 11 of the 14 patients received ventilatory management. All patients survived. These 14 patients met the diagnostic criteria of Sepsis-3 and were diagnosed as having CAP-associated sepsis. Of them, 6 patients met the diagnostic criteria for septic shock. RNA sequencing showed the number of genes with up:down (upregulated:downregulated) expression variation (false discovery rate [FDR] <0.05, |log2 fold change| >1.2) to be 1209:1461 for mRNA; 51:21 for microRNA; and 646:1274 for miRNA-targeted mRNA. Canonical pathway analysis using mRNA showed activation of the PD-1 and PD-L1 cancer immunotherapy signaling pathways and inhibition of the Th1 signaling pathway as well as that using miRNA-targeted mRNAs. Conclusions: Using integrated analysis of mRNA and miRNA, we elucidated for the first time, to our knowledge, that T-cell exhaustion occurred during the acute phase of CAP-associated sepsis and that miRNA regulated Th1 signaling and PD-1 and PD-L1 cancer immunotherapy signaling through the RNA interference action of mRNA.
Published in
mRNA-miRNA integration analysis of T-cell exhaustion in sepsis from community-acquired pneumonia
Oda S, Matsumoto H, Togami Y et al. · Acute medicine & surgery 2025 · PMID 40177597 · doi:10.1002/ams2.70054
This dataset
Open GSE228541 in finder → Find more human 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 GSE228541_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 PRJNA950318 and SRA study SRP430110. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40177597) ↗
Study design
29 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 14 samples read as cases, 15 as controls.

How we read this: Read from 29 sample titles: 29 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

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