← BioTransfer GEO Dataset Finder
GEO series

Chromatin accessibility profiling of HSPC-derived erythroblast differentiation [ATAC-seq]

GSE291386 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 165 samples 2025/12/15 GPL34284
Summary
A prime goal of regenerative medicine is to replace dysfunctional cells in the body. To design protocols for producing target cells in the laboratory, one may need to consider exponentially large combinations of culture components. Here, we tested the potential of iteratively approximating the target phenotype by quantifying the distance between chromatin profiles (ATAC-seq) of differentiating cells in vitro and their in-vivo counterparts. We tested this approach on the well-studied generation of erythroblasts from haematopoietic stem cells, evaluating a fixed number of components over two sequential differentiation rounds (8x8 protocols). We found that the most erythroblast-like cells upon the first round yielded the most erythroblast-like cells at the second round, suggesting that greedy selection by chromatin approximation can be a viable optimisation strategy. Furthermore, by targeting transcriptional regulators linked to chromatin regions that were incompletely reprogrammed even after two rounds of differentiation, we could make a data-driven selection of additions to the protocol that further improved erythropoiesis. In future, our methodology can help craft notoriously difficult cells in vitro, such as B cells.
Download
NCBI GEO page ↗ Paper (PMID 41734818) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human ChIP / ATAC / CUT&Tag datasets →
Similar datasets

Search all human ChIP / ATAC / CUT&Tag 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.