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Mechanistic Study on METTL3-Mediated m6A Modification of PDE4D in Zearalenone-Induced Testicular Injury in Mice

GSE311997 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/01/30 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: 12 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.
Summary (written by the submitters)
Zearalenone (ZEA) is a non-steroidal estrogenic mycotoxin that causes marked testicular injury and male reproductive toxicity, but the involvement of RNA N6-methyladenosine (m6A) modification in this process remains unclear. In this study, we used Balb/c mice and mouse Sertoli TM4 cells to investigate whether ZEA-induced testicular damage is mediated by m6A dysregulation.
Read the full summary ↓
Global m6A levels and the expression of m6A regulators were first examined, revealing that ZEA exposure significantly decreased overall m6A methylation and downregulated the methyltransferase METTL3 in mouse testes and TM4 cells. We then performed MeRIP-seq (m6A-seq) combined with RNA-seq on testes from control and ZEA-treated mice to profile ZEA-induced changes in the m6A epitranscriptome and transcriptome. Integrated analysis identified 615 differential m6A peaks and 529 differentially expressed genes, with 76 genes showing both altered m6A modification and mRNA expression. KEGG pathway enrichment indicated prominent involvement of the cAMP signaling pathway, tight junctions and inflammatory signaling. Among these candidates, phosphodiesterase 4D (PDE4D) emerged as a key m6A-regulated target. ZEA increased PDE4D expression while reducing its m6A level, whereas METTL3 overexpression enhanced m6A modification on PDE4D, promoted PDE4D mRNA decay, restored cAMP content and reactivated the cAMP–PKA–CREB anti-inflammatory pathway. Functionally, METTL3 overexpression or PDE4D knockdown alleviated ZEA-induced inflammatory cytokine upregulation, disruption of blood-testis barrier–related junction proteins and TM4 cell proliferation arrest. These data demonstrate that ZEA impairs testicular function at least in part by suppressing METTL3-mediated m6A modification of PDE4D and inhibiting the cAMP–PKA–CREB pathway, providing an epitranscriptomic mechanism for ZEA-induced male reproductive toxicity.
This dataset
Open GSE311997 in finder → Find more mouse 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 GSE311997_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 PRJNA1372035 and SRA study SRP650287. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 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 12 sample titles: 12 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
Datasets on a similar topic

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