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Uncovering the Acetylation Sites of Dnmt3L to Regulate Protein Stability and Potency of Differentiation in Embryonic Stem Cells

GSE298928 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/02/02 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: 3 × ET vs 3 × Dnmt3L_WT vs 3 × Dnmt3L_K238 vs 3 × Dnmt3L_K412Groups 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
Uncovering the acetylation sites of Dnmt3L that regulate protein stability and differentiation potency in embryonic stem cellsExperimental & molecular medicine · 2026
Summary (written by the submitters)
The epigenetic status, a key mechanism regulating the cellular identity and differentiation potential of pluripotent stem cells (PSCs), dynamically responds to the culture environment, affecting the safe and effective use of PSCs for basic research and therapeutic applications. However, it remains unclear about key mediator(s) for representing the epigenetic signatures of PSCs under distinct culture conditions.
Read the full summary ↓
Here, we investigated the role of DNA methyltransferase 3-Like (Dnmt3L) in modulating the DNA methylation and differentiation potential of mouse embryonic stem cells (mESCs). Unlike other de novo DNA methyltransferases, Dnmt3L exhibited a uniquely dynamic expression pattern during prolonged 2i-LIF cultures, marked by a rapid post-transcriptional upregulation that sensitively reflected changes in the extracellular environment. Through mass spectrometry, we identified acetylation at lysine-residues K238 and K412 as key factors controlling Dnmt3L protein stability. These modifications critically affected the expression of genes associated with naïve pluripotency and differentiation, especially within germline, neural, and cardiac lineages through locus-specific DNA methylation. Our findings highlight Dnmt3L as a key regulator of epigenetic stability at developmentally critical loci in mESCs, acting as a dynamic responder to changes in the extracellular culture environment. Thus, understanding the regulation mechanism of Dnmt3L could provide insight into the onset of epigenetic aberrations and suggest the optimal culture conditions to preserve epigenetic integrity of ESCs, which have significant implications for regenerative medicine.
Published in
Uncovering the acetylation sites of Dnmt3L that regulate protein stability and differentiation potency in embryonic stem cells
Nam YJ, Kwon H, Im HJ et al. · Experimental & molecular medicine 2026 · PMID 41781491 · doi:10.1038/s12276-026-01655-w
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 GSE298928_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 PRJNA1271937 and SRA study SRP589798. Searching any of these in the dataset finder brings you back here.

Study design
3 × ET vs 3 × Dnmt3L_WT vs 3 × Dnmt3L_K238 vs 3 × Dnmt3L_K412

Supports a between-group comparison across 12 samples.

How we read this: 4 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
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