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DNA methyltransferase 1 modulates mitochondrial function through bridging m5C RNA methylation

GSE169102 Mus musculus (mouse) DNA methylation 187 samples Submitted 2025/05/05 Platform GPL21103Platform GPL24676Platform GPL21493Platform GPL13112Platform GPL19057Platform GPL24247Platform GPL15520
At a glance

DNA methylation · mouse · 187 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
187 samples: 163 distinct titles, 13 of them repeatedGroups 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
DNA methyltransferase 1 modulates mitochondrial function through bridging m(5)C RNA methylationMolecular cell · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
DNA methyltransferase 1 modulates mitochondrial function through bridging m(5)C RNA methylation
Wang J, Deng X, Jian T et al. · Molecular cell 2025 · PMID 40328247 · doi:10.1016/j.molcel.2025.04.019
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 GSE169102_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: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA715210 and SRA study SRP311081. Searching any of these in the dataset finder brings you back here.

Study design
163 distinct titles, 13 of them repeated
mouse CB ×13 Neuron J1 ×2 Neuron 29 ×2 mESC-J1 ×2 mESC-HOM ×2 mNPC-J1 ×2 RNA-BS-seq NSUN2 knockdown ×2 RNA-BS-seq mock treatment ×2 +5 more

Supports a case/control comparison: 8 samples read as cases, 37 as controls.

How we read this: Read from 187 sample titles: 163 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

+ 147 more — browse all 187 samples with per-sample file links →

Datasets on a similar topic

Search all 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.