← BioTransfer GEO Dataset Finder
GEO series

Elevated levels of S100A8 and S100A9 exacerbate muscle mitochondrial fragmentation in sepsis-induced muscle atrophy

GSE285318 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/01/15 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 6 × C56BL/6 WT mice, muscles, CLP-3d vs 3 × C56BL/6 WT mice, muscles, sham-3d vs 3 × C56BL/6 rage knockout mice, muscles, CLP-3dGroups 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-induced skeletal muscle atrophy is common in septic patients with the increases risk of mortality and is associated with myocellular mitochondrial dysfunction. Nevertheless, the specific mechanism of sepsis muscle atrophy remains unclear. Here we conducted a clinical retrospective analysis and observed the elevation of skeletal muscle index (ΔSMI) was an independent risk factor for 60-day mortality in septic patients.
Read the full summary ↓
Moreover, in mouse model of sepsis, the skeletal muscle atrophy was also observed, which was associated with the upregulation of S100a8/a9-mediated mitochondrial dysfunction. Inhibition of S100a8/a9 significantly improved mitochondrial function and alleviated muscle atrophy. Conversely, administration of recombinant S100a8/a9 protein exacerbated mitochondrial energy exhaustion and myocyte atrophy. Mechanistically, S100a8/a9 binding to RAGE induced Drp1 phosphorylation and mitochondrial fragmentation, resulting in muscle atrophy. Additionally, RAGE ablation or administration of Drp1 inhibitor significantly reduced Drp1-mediated mitochondrial fission, improved mitochondrial morphology and function. Our findings indicated the pivotal role of S100a8/a9 in driving the mitochondrial fragmentation in septic muscle atrophy. Targeting S100a8/a9-RAGE-initiated mitochondrial fission might offer a promising therapeutic intervention against septic muscle atrophy. Taken together, our data provide a potential mechanism for sepsis-induced muscle atrophy.
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 GSE285318_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 PRJNA1202508 and SRA study SRP553590. Searching any of these in the dataset finder brings you back here.

Study design
6 × C56BL/6 WT mice, muscles, CLP-3d vs 3 × C56BL/6 WT mice, muscles, sham-3d vs 3 × C56BL/6 rage knockout mice, muscles, CLP-3d

Supports a case/control comparison: 3 samples read as cases, 9 as controls.

How we read this: 3 replicated groups read from 12 sample titles; they account for 12 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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.