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Macromolecular interactions dictate Polycomb-mediated epigenetic repression [RNA-seq]

GSE271648 Homo sapiens (human) RNA-seq (gene expression) 95 samples Submitted 2025/06/16 Platform GPL24676Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 95 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
Homo sapiens (human)
Samples
95 samples
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
Macromolecular interactions dictate Polycomb-mediated epigenetic repressionbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
Dynamic regulation of epigenetic states relies on complex macromolecular interactions such as at the protein-protein and protein-DNA level. It remains an unsolved question how H3K27me3, the hallmark histone modification for facultative heterochromatin, and its writer Polycomb repressive complex 2 (PRC2) are spatiotemporally regulated during development.
Read the full summary ↓
Here we engineered separation-of-function mutants to surgically dissect the roles of individual macromolecular interactions required for PRC2 function. We show that Polycomb-mediated silencing is precisely regulated by the dynamic interactions among the PRC2 core complex, its accessory proteins, DNA sequences, and other histone modifications. Combining CRISPR-mediated engineering of separation-of-function mutants, human stem cell differentiation models, next-generation sequencing approaches, and reconstituted biochemical assays, we identified distinct regulatory functions of these macromolecular interactions on epigenetic repression in human pluripotent stem cells and cardiac differentiation. Disruption of key interactions led to distinct and opposing effects on cardiomyocyte differentiation, suggesting their highly specified roles in cell fate determination. Together, these results reveal the importance of individual macromolecular interactions at the center of PRC2 controlling epigenetic repression.
Published in
Macromolecular interactions dictate Polycomb-mediated epigenetic repression
Much C, Rajkumar SM, Chen L et al. · bioRxiv : the preprint server for biology 2025 · PMID 40463101 · doi:10.1101/2025.05.15.654236
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 GSE271648_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 PRJNA1132690 and SRA study SRP518350. Searching any of these in the dataset finder brings you back here.

Samples in this study

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