Single-cell RNA sequencing and high-dimensional cytometry can be used to generate detailed trajectories of dynamic biological processes such as differentiation or development. Here we present cellAlign, a quantitative framework for comparing expression dynamics within and between single-cell trajectories. By applying cellAlign to mouse and human embryonic developmental trajectories, we systematically delineate differences in the temporal regulation of gene expression programs that would otherwise be masked.

中文翻译：

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对齐单细胞轨迹以比较细胞表达动力学

单细胞RNA测序和高维细胞计数法可用于生成动态生物学过程（如分化或发育）的详细轨迹。在这里，我们介绍了cellAlign，这是一个定量框架，用于比较单细胞轨迹之内和之间的表达动态。通过将cellAlign应用于小鼠和人类胚胎的发育轨迹，我们系统地描绘了基因表达程序在时间调控方面的差异，而这些差异本来可以被掩盖。