← BioTransfer GEO Dataset Finder
GEO series

Functional chromatin signatures premark future lineage-specific enhancers [scRNA-seq]

GSE290596 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2025/03/01 Platform GPL34281
Summary
It remains unknown whether early embryonic cells harbor a blueprint for future enhancers that regulate the expression of lineage-specific genes in adult tissues. Here, we demonstrate that embryonic stem cells (ESCs) have transcriptionally competent chromatin regions (CCRs) prepared to induce the expression of lineage genes prior to differentiation. CCRs represent activatable pre-enhancers within the topological chromatin domains of lineage genes, marked by chromatin signatures distinguishable from primed/poised enhancers, enabling their genome-wide identification. The pioneer transcription factor (TF) FOXA2 preferentially binds CCRs during early lineage specification, promoting their conversion into active enhancers. CCRs can be harnessed to boost the expression of master TFs and promote the direct reprogramming of ESCs into differentiated cells, showcasing their potential for practical applications. Our findings identify a mechanism by which ESCs rapidly establish enhancer activity during early lineage differentiation and expand our understanding of the epigenetic features supporting transcriptional regulation and cellular plasticity.
Published in
Functional chromatin signatures premark future lineage-specific enhancers
Pulecio J, Tayyebi Z, Liu D et al. · Cell genomics 2026 · PMID 41856116 · doi:10.1016/j.xgen.2026.101189
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE290596_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1228801 and SRA study SRP566561. 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.

+ 4 more — browse all 4 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.