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Exosomal miR-2137 from cadmium-treated hepatocytes drives renal ferroptosis via GPX4 suppression and is alleviated by selenium

GSE302882 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/07/17 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 16 samples, each with a distinct title — no replicated groupsGroups 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
Exosomal miR-2137 from cadmium-treated hepatocytes drives renal ferroptosis via GPX4 suppression and is alleviated by seleniumFrontiers in cell and developmental biology · 2025
Summary (written by the submitters)
Cadmium (Cd) is a toxic heavy metal that has a significant impact on the liver and kidneys, rendering them highly susceptible to its toxic effects. However, the precise mechanism remains uncertain. Mice were exposed to Cd resulting severe ferroptosis and liver tissue damage via regulating hepatic GPX4 levels. It is noteworthy that despite the considerably lower concentration of Cd in the kidney compared to the liver, the oxidative damage observed in the exposed mice was significantly more severe in the kidney.
Read the full summary ↓
It was therefore postulated that hepatic disorders may engage in such hepatorenal communication, thereby leading to the pathological phenotypes of distant organs under conditions of Cd exposure. The results of the mechanistic studies indicated that Cd-induced hepatocyte exosomes, which contain a variety of miRNAs produced by hepatocytes, such as miR-2137, etc., are capable of targeting renal GPX4 and reducing the level of GPX4 in renal cells. This resulted in the occurrence of ferroptosis in the kidneys. Injection of the appropriate dosage of Cd-induced exosomes, derived from hepatocytes, is sufficient to induce kidney damage in vivo. Our data support the hypothesis that treatment with an antagomir targeting miR-2137 is capable of inhibiting this process. Moreover, our findings revealed that selenium (Se) supplementation was sufficient to protect against Cd-induced hepatic and renal toxicity by elevating the expression level of selenoprotein GPX4 in vivo. In conclusion, we have identified liver-derived exosomes and their implications for hepatorenal communication under Cd exposure. This provides a new target for understanding the mechanism of Cd-induced hepatorenal communication. Our findings indicate that exosomes may serve as biomarkers and potential therapeutic agents for the exposure of Cd toxicity.
Published in
Exosomal miR-2137 from cadmium-treated hepatocytes drives renal ferroptosis via GPX4 suppression and is alleviated by selenium
Wen Q, Qi M, Wu Y et al. · Frontiers in cell and developmental biology 2025 · PMID 40809692 · doi:10.3389/fcell.2025.1585106
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 GSE302882_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 PRJNA1292747 and SRA study SRP601490. Searching any of these in the dataset finder brings you back here.

Study design
16 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 16 sample titles: 16 distinct titles with little repetition. 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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