ArticleScientific data2025
High-resolution single-cell RNA-seq data and heterogeneity analysis of human ESCs and ffEPSCs.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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4 authors.
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Abstract
This study presents a comprehensive transcriptomic analysis of feeder-free extended pluripotent stem cells (ffEPSCs) and their parental human embryonic stem cells (ESCs), providing new insights into understanding human early development and cellular heterogeneity of pluripotency. Leveraging Smart-seq2-based single-cell RNA sequencing (scRNA-seq), we have compared gene expression profiles between ESCs and ffEPSCs and uncovered distinct subpopulations within both groups. Through pseudotime analysis, we have mapped the transition process from ESCs to ffEPSCs, revealing critical molecular pathways involved in the shift from a primed pluripotency to an extended pluripotent state. Additionally, we have employed repeat sequence analysis based on the latest T2T database and identified the stage-specific repeat elements contributing to regulating pluripotency and developmental transitions. This dataset deepens our understanding on early pluripotency and highlights the role of repeat sequences in early embryonic development. Our findings thus offer valuable resources for researchers in stem cell biology, pluripotency, early embryonic development, and potential cell therapy and regenerative medical applications.
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