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Time-of-day defines the risk of thermally abused frying oil to renal injury by modulating the diurnal dynamics of oxylipins

GSE269508 Mus musculus (mouse) RNA-seq (gene expression) 42 samples Submitted 2026/05/01 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 42 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
42 samples: 14 conditions, mostly in triplicateGroups 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)
Modulation of circadian rhythms results in impaired homeostasis and susceptibility to disease development. Thus, new perspectives on nutrition emphasize the circadian timing of food intake. Here, we find that fried oil disrupted the conversionof epoxides to diols in kidney, and led to aggravated renal injury. Interestingly, the circadian rhythm of epoxides and its diols in the kidney and plasma showed a significant light-dark manner.
Read the full summary ↓
We demonstrated that time-imposed feeding of fried oil during the active period showed limited damage to renal function, conversely, renal function was impaired during the inactive period. Remarkably, time-imposed epoxy stearic acid (EpSA) from fried oil during the inactive period disrupted the rhythmicity of epoxide hydrolases and related metabolites, and fueled the progression of renal fibrosis and injury. The effect of EpSA on SMA and E-cadherin, renalfibrosis biomarkers, are lost in knockouts of Ephx1 and Ephx2, which encodes for epoxide hydrolase. Besides, the inhibition of epoxide hydrolases by dietary supplementation of linoleic acid rescues mice from the damages from time-imposed feeding of EpSA. Our findings unveil that the time-of-day dependence of epoxide hydrolases and circadian disruption at the inactive phase by EpSA from fried oil has adverse impacts on kidney function.
This dataset
Open GSE269508 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 GSE269508_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 PRJNA1122163 and SRA study SRP513032. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
14 conditions, mostly in triplicate
Kidney, ZT 1, Sample ×3 Kidney, ZT 5, Sample ×3 Kidney, ZT 9, Sample ×3 Kidney, ZT 13, Sample ×3 Kidney, ZT 17, Sample ×3 Kidney, ZT 21, Sample ×3 Kidney, ZT 25, Sample ×3 Kidney, Treated with EpSAZT 1, Sample ×3 +6 more

Supports a between-group comparison across 42 samples.

How we read this: 14 replicated groups read from 42 sample titles; they account for 42 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

+ 2 more — browse all 42 samples with per-sample file links →

Datasets on a similar topic

Search all mouse 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.