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Unbalanced chromatin binding of Polycomb complexes drives neurodevelopmental disorders

GSE312574 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 179 samples Submitted 2026/02/17 Platform GPL24247Platform GPL34290Platform GPL34284
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 179 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
179 samples: 75 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
Unbalanced chromatin binding of Polycomb complexes drives neurodevelopmental disordersMolecular cell · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Unbalanced chromatin binding of Polycomb complexes drives neurodevelopmental disorders
Borges RL, González-Blanco G, Arigela H et al. · Molecular cell 2026 · PMID 41653922 · doi:10.1016/j.molcel.2026.01.023
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 GSE312574_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 peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1374195 and SRA study SRP556311. Searching any of these in the dataset finder brings you back here.

Study design
75 conditions, mostly in duplicate
mESC ,Clone R70H 112 , ×2 mESC ,Clone R70H 282 , ×2 mESC ,WT , ×2 mNPC ,Clone R70H 112 , ×2 mNPC ,Clone R70H 282 , ×2 mNPC ,WT , ×2 mNeuronDiff ,Clone R70H 112 , ×2 mNeuronDiff ,Clone R70H 282 , ×2 +96 more

Supports a between-group comparison across 150 samples.

How we read this: 75 replicated groups read from 179 sample titles; they account for 150 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

+ 139 more — browse all 179 samples with per-sample file links →

Datasets on a similar topic

Search all RNA-seq datasets in GEO →

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