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Multiomics Analyses Unveil Immune Landscape in Pediatric and Adult Sepsis [bulk RNA-seq]

GSE279448 Homo sapiens (human) RNA-seq (gene expression) 207 samples Submitted 2025/09/28 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 207 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
207 samples: 10 conditions, mostly with about 8 replicates eachGroups 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.
Summary (written by the submitters)
Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. The immune response varies significantly based on the anatomical source of infection. This study investigates the transcriptomic profiles associated with sepsis using bulk RNA sequencing. A total of 207 PBMC samples were analyzed, including those from healthy adults, adult ICU controls, adult sepsis patients, healthy children, pediatric ICU controls, and pediatric sepsis patients.
Read the full summary ↓
The analysis of this dataset reveals both shared and source-specific gene expression patterns, providing insights into the molecular mechanisms underlying sepsis and informing the development of targeted therapeutic strategies.
This dataset
Open GSE279448 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 GSE279448_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 PRJNA1172724. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
10 conditions, mostly with about 8 replicates each
bulkRNA Res-S ×45 bulkRNA HC ×43 bulkRNA Abd-S ×38 bulkRNA IC ×23 bulkRNA Uri-S ×20 bulkRNA Skin-S ×13 bulkRNA Abd-PS ×8 bulkRNA Res-PS ×8 +2 more

Supports a between-group comparison across 207 samples.

How we read this: 10 replicated groups read from 207 sample titles; they account for 207 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

+ 167 more — browse all 207 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.