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多能干细胞的单细胞转录组学:重编程与分化。

Single cell transcriptomics of pluripotent stem cells: reprogramming and differentiation.

机构信息

Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge, UK; European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.

Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge, UK; European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK; Department of Physics, The Cavendish Laboratory, University of Cambridge, UK.

出版信息

Curr Opin Genet Dev. 2017 Oct;46:66-76. doi: 10.1016/j.gde.2017.06.003. Epub 2017 Jul 1.

Abstract

Single-cell transcriptomics serves as a powerful tool to identify cell states within populations of cells, and to dissect underlying heterogeneity at high resolution. Single-cell transcriptomics on pluripotent stem cells has provided new insights into cellular variation, subpopulation structures and the interplay of cell cycle with pluripotency. The single-cell perspective has helped to better understand gene regulation and regulatory networks during exit from pluripotency, cell-fate determination as well as molecular mechanisms driving cellular reprogramming of somatic cells to induced pluripotent stage. Here we review the recent progress and significant findings from application of single-cell technologies on pluripotent stem cells along with a brief outlook on new combinatorial single-cell approaches that further unravel pluripotent stem cell states.

摘要

单细胞转录组学是一种强大的工具,可用于识别细胞群体中的细胞状态,并以高分辨率剖析潜在的异质性。多能干细胞的单细胞转录组学为细胞变异、亚群结构以及细胞周期与多能性的相互作用提供了新的见解。单细胞视角有助于更好地理解从多能性中退出、细胞命运决定以及驱动体细胞重编程为诱导多能状态的分子机制过程中的基因调控和调控网络。在这里,我们综述了单细胞技术在多能干细胞上的应用的最新进展和重要发现,并简要展望了进一步揭示多能干细胞状态的新的组合单细胞方法。

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