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A Continuous Molecular Roadmap to iPSC Reprogramming through Progression Analysis of Single-Cell Mass Cytometry

机译:通过单细胞质量细胞计数分析进行iPSC重编程的连续分子路线图

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To analyze cellular reprogramming at the single-cell level, mass cytometry was used to simultaneously measure markers of pluripotency, differentiation, cell-cycle status, and cellular signaling throughout the reprogramming process. Time-resolved progression analysis of the resulting data sets was used to construct a continuous molecular roadmap for three independent reprogramming systems. Although these systems varied substantially in Oct4, Sox2, Klf4, and c-Myc stoichiometry, they presented a common set of reprogramming landmarks. Early in the reprogramming process, Oct4(high) Klf4(high) cells transitioned to a CD73(high) CD104(high) CD54(low) partially reprogrammed state. Ki67(low) cells from this intermediate population reverted to a MEF-like phenotype, but Ki67(high) cells advanced through the M-E-T and then bifurcated into two distinct populations: an ESC-like Nanog(high) Sox2(high) CD54(high) population and a mesendoderm-like Nanog low Sox2 low Lin28 high CD24(high) PDGFR-alpha(high) population. The methods developed here for time-resolved, single-cell progression analysis may be used for the study of additional complex and dynamic systems, such as cancer progression and embryonic development.
机译:为了在单细胞水平上分析细胞重编程,在整个重编程过程中,使用了流式细胞仪同时测量了多能性,分化,细胞周期状态和细胞信号转导的标志物。所得数据集的时间分辨进度分析用于构建三个独立的重编程系统的连续分子路线图。尽管这些系统在Oct4,Sox2,Klf4和c-Myc化学计量上有很大差异,但它们提供了一组常见的重编程界标。在重编程过程的早期,Oct4(高)Klf4(高)细胞转变为CD73(高)CD104(高)CD54(低)部分重编程状态。此中间群体的Ki67(低)细胞恢复为MEF样表型,但Ki67(高)细胞通过MET前进,然后分成两个不同的群体:ESC样Nanog(高)Sox2(高)CD54(高) )人群和中胚层状Nanog低Sox2低Lin28高CD24(高)PDGFR-alpha(高)人群。此处开发的用于时间分辨的单细胞进展分析的方法可用于研究其他复杂而动态的系统,例如癌症进展和胚胎发育。

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