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Transposable element activity captures human pluripotent cell states [ATAC-seq]

GSE272118 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 4 samples Submitted 2024/11/01 Platform GPL34284
Summary
Human pluripotent stem cells (hPSCs) serve as powerful in vitro models to elucidate the molecular underpinnings of embryonic cell fate transitions. hPSCs can be maintained in two distinct states: a naïve state, corresponding to the pre-implantation epiblast, and a primed state, mirroring the post-implantation epiblast. Our research demonstrates that transposable elements act as sensitive indicators of these pluripotency states. We engineered hPSCs with fluorescent reporters that capture the temporal expression dynamics of two transposable elements, LTR5_Hs and MER51B. This dual reporter system facilitates real-time monitoring and isolation of stem cells as they transition from naïve to primed pluripotency and further towards differentiation. Unexpectedly, we identified a rare, metastable cell population within primed hPSCs, marked by transcripts associated with pre-implantation embryo development and triggered by DNA damage. Additionally, our system uncovered novel transcriptional regulators involved in pluripotency, naïve reprogramming, and differentiation. Our study provides key insights into the dynamic regulation of transposable elements during embryonic development and introduces a novel system for investigating and exploiting cellular plasticity.
Published in
Transposable element activity captures human pluripotent cell states
Levin-Ferreyra F, Kodali S, Cui Y et al. · EMBO reports 2025 · PMID 39668246 · doi:10.1038/s44319-024-00343-y
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Direct links to NCBI, no account and no request form: the whole study as GSE272118_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 PRJNA1135152 and SRA study SRP519611. Searching any of these in the dataset finder brings you back here.

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