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Editing DNA Methylation in vivo [RNA-Seq]

GSE280072 Mus musculus (mouse) DNA methylation 12 samples Submitted 2025/11/12 Platform GPL24247
At a glance

DNA methylation · mouse · 12 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
12 samples: 6 × Sc vs 3 × Pcsk9 vs 3 × Mecp2 PoolGroups 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)
DNA methylation is an epigenetic mechanism essential for orchestrating gene expression. Precise editing of DNA methylation has emerged as a new method to dissect its biological function in a DNA sequence specific manner with great potential to treat human diseases. However, applications of DNA methylation editing are largely in vitro.
Read the full summary ↓
An experimental system to systematically investigate in vivo DNA methylation editing is needed to reveal its full therapeutic potential. We generated two transgenic mouse lines carrying an inducible dCas9-Dnmt3a or dCas9-Tet1 editor to enable cell-type specific methylation editing in vivo. We demonstrated that targeted methylation of the Psck9 promoter in the liver of dCas9-Dnmt3a mice reduced Psck9 expression and lowered plasma low-density lipoprotein cholesterol level to reduce the risk for cardiovascular diseases. Targeted demethylation of the Mecp2 promoter by dCas9-Tet1 reactivated Mecp2 expression from the inactive X chromosome in the brain of Mecp2 heterozygous Rett syndrome mice, suggesting a promising therapeutic approach for Rett syndrome and other X-linked diseases. Genome-wide sequencing analysis showed no detectable off-target at the transcriptional level in the methylation edited mice. These results demonstrate the feasibility and versatility of methylation editing in vivo, to explore DNA methylation in normal physiology and develop treatments for human diseases.
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 GSE280072_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 PRJNA1176145 and SRA study SRP540219. Searching any of these in the dataset finder brings you back here.

Study design
6 × Sc vs 3 × Pcsk9 vs 3 × Mecp2 Pool

Supports a between-group comparison across 12 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 12 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
Datasets on a similar topic

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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.