← BioTransfer GEO Dataset Finder
GEO series

Transcriptomic analysis of colchicine effects in adenine-induced chronic kidney disease

GSE318367 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/08/02 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: 4 × Control kidney tissue vs 4 × Adenine-induced CKD kidney tissue vs 4 × Adenine-induced CKD with colchicine treatment mouse kidney tissue,Groups 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)
Colchicine is an anti-inflammatory drug that has emerged as a therapeutic option in various inflammatory diseases, but its role in chronic kidney disease (CKD) remains unclear. This study investigates the reno-protective effects of colchicine in an experimental CKD model and its potential role in modulating the NOD-like receptor, pyrin domain containing protein 3 (NLRP3) inflammasome pathway.
Read the full summary ↓
A CKD animal model was established in C57BL/6 mice by feeding a 2% adenine-containing diet for 4 weeks. Mice received either colchicine (0.3 mg/kg/day) or saline intraperitoneally. RNA sequencing of kidney tissue was performed by E-Biogen Inc. (Seoul, Korea) to capture molecular signatures associated with the therapeutic mechanism of colchicine in CKD, with a focus on inflammatory pathways including nuclear factor-κB and NLRP3 pathways.
This dataset
Open GSE318367 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 GSE318367_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 PRJNA1418636 and SRA study SRP674581. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × Control kidney tissue vs 4 × Adenine-induced CKD kidney tissue vs 4 × Adenine-induced CKD with colchicine treatment mouse kidney tissue,

Supports a case/control comparison: 8 samples read as cases, 4 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.