← BioTransfer GEO Dataset Finder
GEO series

Unraveling the Role of MIXL1 Activation in Endoderm Differentiation of Isogenic Human Induced Pluripotent Stem Cells [ATAC-Seq]

GSE260552 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 6 samples Submitted 2024/08/01 Platform GPL20301
Summary
Human induced pluripotent stem cells (hiPSC) possess the ability to differentiate into a multitude of tissue types but display heterogeneity in the propensity of differentiation into specific tissue lineages. An examination of isogenic hiPSC lines revealed variations in the endoderm propensity under directed differentiation conditions. Characterization of the transcriptome and proteome of the hiPSC lines showed that MIXL1 activity at the early differentiation stage correlated with the efficacy of generating definitive endoderm and further differentiation into endoderm derivatives. Enforced expression of MIXL1 in the endoderm-incompetent hiPSCs enhanced the propensity of endoderm differentiation, suggesting that modulation of key drivers of lineage differentiation can re-wire hiPSC to the desired lineage propensity for stem cell products.
Published in
MIXL1 activation in endoderm differentiation of human induced pluripotent stem cells
Osteil P, Withey S, Santucci N et al. · Stem cell reports 2025 · PMID 40280138 · doi:10.1016/j.stemcr.2025.102482
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE260552_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 PRJNA1082201 and SRA study SRP492528. 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 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.