← BioTransfer GEO Dataset Finder
GEO series

Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq]

GSE341753 Homo sapiens Expression profiling by high throughput sequencing 12 samples Submitted 2026/07/31 Platform GPL34281
Summary
During erythropoiesis, differentiating cells silence much of the genome while maintaining high expression of select genes. It remains unclear whether this transcriptional specialization is linked to specific changes in 3D genome organization. We generated deep Micro-C maps across human erythropoiesis to understand the relationship between cis-regulatory elements and cohesin-mediated loop extrusion during erythroid differentiation. Shifts in erythroid 3D genome structure during differentiation and under perturbations of transcription factors and cohesin subunits/cofactors indicates that a subset of CREs concentrate loop extrusion near key genes during erythroid differentiation.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE341753_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 12 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1503805 and SRA study SRP722300. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
AAVS1, RNA-Seq, Dono ×2 NFE2-KO, RNA-Seq, Dono ×2 STAG1-KO, RNA-Seq, Donor 3, Condition ×2 STAG2-KO, RNA-Seq, Donor 3, Condition ×2 NIPBL-KO, RNA-Seq, Donor 3, Condition ×2 AAVS1, RNA-Seq, Donor 3, Condition ×2

Supports a between-group comparison across 12 samples.

6 replicated groups read from 12 sample titles; they account for 12 of them. Check it against the sample list below before relying on it.

Samples in this study
Similar datasets

Search all human 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.