Technological advances play a key role in furthering our understanding of stem cell biology, and advancing the prospects of regenerative therapies. Highly parallelized methods, developed in the last decade, can profile DNA, RNA, or proteins in thousands of cells and even capture data across two or more modalities (multiomics). This allows unbiased and precise definition of molecular cell states, thus allowing classification of cell types, tracking of differentiation trajectories, and discovery of underlying mechanisms. Despite being based on destructive techniques, novel experimental and bioinformatic approaches enable embedding and extraction of temporal information, which is essential for deconvolution of complex data and establishing cause and effect relationships. Here, we provide an overview of recent studies pertinent to stem cell biology, followed by an outlook on how further advances in single-cell molecular profiling and computational analysis have the potential to shape the future of both basic and translational research.

中文翻译：

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通过多模式单细胞分析推进干细胞研究。


技术进步在加深我们对干细胞生物学的理解和推进再生疗法的前景方面发挥着关键作用。过去十年开发的高度并行方法可以分析数千个细胞中的 DNA、RNA 或蛋白质，甚至可以捕获两种或多种模式（多组学）的数据。这可以对分子细胞状态进行公正且精确的定义，从而可以对细胞类型进行分类、跟踪分化轨迹并发现潜在机制。尽管基于破坏性技术，新颖的实验和生物信息学方法可以嵌入和提取时间信息，这对于复杂数据的反卷积和建立因果关系至关重要。在这里，我们概述了与干细胞生物学相关的最新研究，然后展望了单细胞分子分析和计算分析的进一步进展如何有可能塑造基础研究和转化研究的未来。