← BioTransfer GEO Dataset Finder
GEO series

Two distinct chromatin modules regulate proinflammatory gene expression [snMultiome]

GSE273429 Homo sapiens Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing 6 samples Submitted 2025/01/01 Platform GPL24676
Summary
Various mechanisms have been proposed to explain gene activation and co-regulation, including enhancer-promoter interactions via chromatin looping and the enrichment of transcription factors into hubs or condensates. However, these conclusions often stem from analyses of individual loci, and genome-wide studies exploring mechanistic differences in coupled gene expression are lacking. In this study, we dissected the proinflammatory gene expression program induced by TNFα in primary human endothelial cells using NGS- and imaging-based techniques. Our findings, enabled by our novel RWireX approach for single-cell ATAC-seq analysis, revealed two distinct regulatory chromatin modules: autonomous links of co-accessibility (ACs) between separated sites, and domains of contiguous co-accessibility (DCs) with increased local transcription factor binding. ACs and DCs associate with different transcriptional bursting kinetics, highlighting the existence of two structurally and functionally distinct regulatory chromatin modules in proinflammatory response. This identification provides a novel mechanistic framework for understanding how cells achieve both rapid and precise control of gene expression.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE273429_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1141906. 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 Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

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.