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Bulk RNA-seq analysis of WT C57BL/6 mise treated with Control, Choleste-help normal lot, toxic lot, and Puberulic acid

GSE301801 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2026/02/15 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 5 × Control vs 5 × Choleste-Help Normal Lot vs 5 × Choleste-Help Toxic Lot vs 5 × Puberulic AcidGroups 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
The Pathophysiological Mechanism of Beni-koji Choleste-Help or Puberulic Acid-Induced Kidney InjuryKidney international reports · 2026
Summary (written by the submitters)
Puberulic acid has been suggested as the causative agent in the toxic lot of Choleste-Help, but no detailed toxicological data have been published to date. In this study, we demonstrated a striking similarity in the renal transcriptomic profiles induced by puberulic acid and the toxic lot of Choleste-Help, supporting the conclusion that puberulic acid is the likely causative compound. Furthermore, both treatments led to a significant downregulation of mitochondria-related transcripts, suggesting that the kidney injury involves mitochondrial dysfunction.
Published in
The Pathophysiological Mechanism of Beni-koji Choleste-Help or Puberulic Acid-Induced Kidney Injury
Sekiguchi Y, Mori M, Maruyama H et al. · Kidney international reports 2026 · PMID 41732753 · doi:10.1016/j.ekir.2026.103793
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 GSE301801_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 PRJNA1286011 and SRA study SRP598287. Searching any of these in the dataset finder brings you back here.

Study design
5 × Control vs 5 × Choleste-Help Normal Lot vs 5 × Choleste-Help Toxic Lot vs 5 × Puberulic Acid

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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.