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Ectopic expression of DNMT3L in human trophoblast stem cells restores features of the placental methylome [ChIP-seq]

GSE266194 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 15 samples Submitted 2025/01/08 Platform GPL18573
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 15 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
15 samples: 15 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.
Paper
Ectopic expression of DNMT3L in human trophoblast stem cells restores features of the placental methylomeCell stem cell · 2025
Summary (written by the submitters)
The placental DNA methylation landscape is unique, with widespread partially methylated domains (PMDs) and hundreds of placental-specific imprinted domains. Furthermore, the placental ‘methylome’ has been the focus of extensive study for links with pregnancy complications. Human trophoblast stem cells (hTSCs) offer exciting potential for functional epigenetic studies; however, whether the hTSC epigenome recapitulates primary cytotrophoblast, remains poorly described.
Read the full summary ↓
In this study, we demonstrate that hTSCs exhibit an atypical methylome, with DNA methylation present over transcribed gene bodies but a complete loss of placental PMDs. Using single-cell RNA-seq from human embryogenesis, hTSCs display a notable absence of DNMT3L expression. Ectopic expression of DNMT3L in hTSCs restored placental PMDs. DNMT3L-expressing hTSCs showed comparable stemness but failed to syncytialise in organoid culture, associated with hypermethylation of STB transcription factor motifs. These findings reveal that DNMT3L is essential in establishing the human placental methylome and that DNMT3L downregulation is necessary for successful trophoblast differentiation.
Published in
Ectopic expression of DNMT3L in human trophoblast stem cells restores features of the placental methylome
Lea G, Doria-Borrell P, Ferrero-Micó A et al. · Cell stem cell 2025 · PMID 39788122 · doi:10.1016/j.stem.2024.12.007
This dataset
Open GSE266194 in finder → Find more human ChIP / ATAC / CUT&Tag 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 GSE266194_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 peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1106286 and SRA study SRP504846. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39788122) ↗
Study design
15 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 15 sample titles: 15 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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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.