Alignment of single-cell trajectories to compare cellular expression dynamics
Alignment of single-cell trajectories to compare cellular expression dynamics
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DOI：
10.1038/nmeth.4628
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发表时间：
2018-04-01
期刊：
影响因子：
48
通讯作者：
Shen-Orr, Shai S.
中科院分区：
文献类型：
--
作者：
Alpert, Ayelet;Moore, Lindsay S.;Shen-Orr, Shai S.
单细胞RNA测序和高维细胞术可以用来生成动态生物过程的详细轨迹，如分化或发育。在这里，我们介绍了cell Align，这是一个用于比较单细胞轨迹内和单细胞轨迹之间表达动态的定量框架。通过将cell Align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的时间调控的差异，否则这些差异将被掩盖。
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.