← BioTransfer GEO Dataset Finder
GEO series

Asymmetric division in a two-cell-like state rejuvenates embryonic stem cells

GSE287152 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2026/01/31 Platform GPL28330
Summary
An intriguing question in biology is whether all cells age. Embryonic stem cells (ESCs)stand out as rare normal cells capable of indefinite in vitro passage. However, it remains unclear how ESC lineage immortality is achieved and whether individual ESCs are immortal. Using long term live-cell imaging to follow fates of single ESCs, we show here that lineage renewal of ESCs can be attributed to a sporadic state characterized by the expression of markers found in two-cell embryos. During this state, cells undergo asymmetric divisions, giving rise to one dying branch, and one that reverts to the pluripotent state. Importantly, the latter lineage exhibits signs of rejuvenation, including reduced DNA damage and enhanced chimeric efficiency. These findings underscore the crucial role of asymmetric cell division in maintaining the long-term health of the ESC lineage against mounting damage within individual cells.
Published in
Asymmetric division in a two-cell-like state rejuvenates embryonic stem cells
Wang X, Fu H, Sun Q et al. · Cell research 2026 · PMID 41634384 · doi:10.1038/s41422-026-01221-z
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE287152_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 PRJNA1211501 and SRA study SRP557789. 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 mouse 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.