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RP105 exerts hepatoprotective effects in sepsis by modulating the SOCS2/JAK2/STAT3 signaling pathway

GSE298411 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/08/08 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 3 × CLP vs 3 × KO+CLP vs 2 × Wild type vs 2 × KOGroups 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
RP105 exerts hepatoprotective effects in sepsis by modulating the SOCS2/JAK2/STAT3 signaling pathwayInternational journal of molecular medicine · 2025
Summary (written by the submitters)
During the occurrence of sepsis, the liver plays a crucial role in immune defense. However, the excessive immune response within the liver can also make it the main target organ for sepsis-related injuries. In this paper, our aim is to explore the protective role of RP105 in liver injury caused by sepsis and clarify its underlying molecular mechanisms.
Read the full summary ↓
We established a cecal ligation and puncture (CLP) model using RP105 knockout mice. We observed the protective effect of RP105 on liver damage caused by sepsis. We also conducted RNA sequencing (RNA-Seq) analysis on the CLP group and the RP105 knockout CLP group. Furthermore, through in vitro and in vivo experiments, we found that RP105 alleviated liver injury caused by sepsis through the classical regulation of SOCS2 via the JAK2/STAT3 signaling pathway.
Published in
RP105 exerts hepatoprotective effects in sepsis by modulating the SOCS2/JAK2/STAT3 signaling pathway
Deng Q, Duo H, Ye Q et al. · International journal of molecular medicine 2025 · PMID 41104869 · doi:10.3892/ijmm.2025.5666
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 GSE298411_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 PRJNA1269307 and SRA study SRP588487. Searching any of these in the dataset finder brings you back here.

Study design
3 × CLP vs 3 × KO+CLP vs 2 × Wild type vs 2 × KO

Supports a between-group comparison across 10 samples.

How we read this: 4 replicated groups read from 10 sample titles; they account for 10 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
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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.