← BioTransfer GEO Dataset Finder
GEO series

Extensive folding variability between homologous chromosomes in mammalian cells [RNA-seq]

GSE254675 Mus musculus (mouse) RNA-seq (gene expression) 2 samples Submitted 2025/01/29 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 2 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
2 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
Extensive folding variability between homologous chromosomes in mammalian cellsMolecular systems biology · 2025
Summary (written by the submitters)
Genetic variation and 3D chromatin structure have major roles in gene regulation. Structural differences between genotypically different chromosomes and their effects on gene expression remain ill understood, due to challenges in mapping 3D genome structure with allele-specific resolution. Here, we applied Genome Architecture Mapping (GAM) to a hybrid mouse embryonic stem cell (ESC) line with high SNP density.
Read the full summary ↓
Given its high efficiency of haplotype phasing, GAM resolves allele-specific 3D genome structures with high sensitivity. We discovered extensive genotype-specific folding of chromosomes in compartments, topologically associating domains (TADs), long-range enhancer-promoter contacts and CTCF loops, often coinciding with allele-specific gene expression in association with Polycomb repression. We show that histone genes are expressed with allelic imbalance and involved in allele-specific chromatin contacts marked by H3K27me3. Functional analysis through conditional Ezh2- or Ring1b-knockdown shows a role for Polycomb repression in tuning histone protein levels. Our work reveals that the homologous chromosomes have highly distinct 3D folding structures, and their intricate relationships with gene-specific mechanisms of allelic expression imbalance.
Published in
Extensive folding variability between homologous chromosomes in mammalian cells
Irastorza-Azcarate I, Kukalev A, Kempfer R et al. · Molecular systems biology 2025 · PMID 40329044 · doi:10.1038/s44320-025-00107-3
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 GSE254675_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 PRJNA1071503 and SRA study SRP487064. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 2 more — browse all 2 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq 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.