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mRNA-Engineered CRISPR-Cas Epigenetic Editors Enable Durable and Efficient Gene Silencing in Vivo

GSE299334 Mus musculus (mouse) DNA methylation 132 samples Submitted 2025/06/16 Platform GPL34290Platform GPL24247
At a glance

DNA methylation · mouse · 132 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
132 samples: 66 conditions, mostly in duplicateGroups 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
mRNA-engineered CRISPR-Cas epigenetic editors enable durable and efficient gene silencing in vivoInnovation (Cambridge (Mass.)) · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
mRNA-engineered CRISPR-Cas epigenetic editors enable durable and efficient gene silencing in vivo
Xu C, Zeng C, Wang M et al. · Innovation (Cambridge (Mass.)) 2026 · PMID 41789142 · doi:10.1016/j.xinn.2025.101151
This dataset
Open GSE299334 in finder → Find more mouse methylation 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 GSE299334_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: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA1273918 and SRA study SRP590495. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41789142) ↗
Study design
66 conditions, mostly in duplicate
Mouse liver, Vehicle_1, Day 30, ×2 Mouse liver, Vehicle_2, Day 30, ×2 Mouse liver, Vehicle_3, Day 30, ×2 Mouse liver, Vehicle_4, Day 90, ×2 Mouse liver, Vehicle_5, Day 90, ×2 Mouse liver, Vehicle_6, Day 90, ×2 Mouse liver, SF01_EE_1, Day 30, ×2 Mouse liver, SF01_EE_2, Day 30, ×2 +58 more

Supports a between-group comparison across 132 samples.

How we read this: 66 replicated groups read from 132 sample titles; they account for 132 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

+ 92 more — browse all 132 samples with per-sample file links →

Datasets on a similar topic

Search all mouse methylation datasets in GEO →

Share this dataset

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.