Characterization of human pluripotent stem cell differentiation by single-cell dual-omics analyses

通过单细胞双组学分析表征人类多能干细胞分化

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作者:Daiyuan Liu, Yuting Fu, Xinru Wang, Xueyi Wang, Xing Fang, Yincong Zhou, Renying Wang, Peijing Zhang, Mengmeng Jiang, Danmei Jia, Jingjing Wang, Haide Chen, Guoji Guo, Xiaoping Han

Abstract

In vivo differentiation of human pluripotent stem cells (hPSCs) has unique advantages, such as multilineage differentiation, angiogenesis, and close cell-cell interactions. To systematically investigate multilineage differentiation mechanisms of hPSCs, we constructed the in vivo hPSC differentiation landscape containing 239,670 cells using teratoma models. We identified 43 cell types, inferred 18 cell differentiation trajectories, and characterized common and specific gene regulation patterns during hPSC differentiation at both transcriptional and epigenetic levels. Additionally, we developed the developmental single-cell Basic Local Alignment Search Tool (dscBLAST), an R-based cell identification tool, to simplify the identification processes of developmental cells. Using dscBLAST, we aligned cells in multiple differentiation models to normally developing cells to further understand their differentiation states. Overall, our study offers new insights into stem cell differentiation and human embryonic development; dscBLAST shows favorable cell identification performance, providing a powerful identification tool for developmental cells.

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