CERVO Brain Research Center, Quebec City, QC G1J 2G3, Canada; Department of Biochemistry, Microbiology, and Bioinformatics, Université Laval, Quebec City, QC G1V 0A6, Canada.
CERVO Brain Research Center, Quebec City, QC G1J 2G3, Canada; Department of Psychiatry and Neuroscience, Université Laval, Quebec City, QC G1V 0A6, Canada.
Stem Cell Reports. 2022 Apr 12;17(4):911-923. doi: 10.1016/j.stemcr.2022.02.011. Epub 2022 Mar 17.
Neuronal migration is a highly dynamic process, and multiple cell movement metrics can be extracted from time-lapse imaging datasets. However, these parameters alone are often insufficient to evaluate the heterogeneity of neuroblast populations. We developed an analytical pipeline based on reducing the dimensions of the dataset by principal component analysis (PCA) and determining sub-populations using k-means, supported by the elbow criterion method and validated by a decision tree algorithm. We showed that neuroblasts derived from the same adult neural stem cell (NSC) lineage as well as across different lineages are heterogeneous and can be sub-divided into different clusters based on their dynamic properties. Interestingly, we also observed overlapping clusters for neuroblasts derived from different NSC lineages. We further showed that genetic perturbations or environmental stimuli affect the migratory properties of neuroblasts in a sub-cluster-specific manner. Our data thus provide a framework for assessing the heterogeneity of migrating neuroblasts.
神经元迁移是一个高度动态的过程，可以从延时成像数据集提取多个细胞迁移度量标准。然而，仅这些参数通常不足以评估神经母细胞群体的异质性。我们开发了一种基于主成分分析 (PCA) 降低数据集维度的分析管道，并使用肘部准则方法和决策树算法进行支持的 k 均值确定子群体。我们表明，来自同一成年神经干细胞 (NSC) 谱系的神经母细胞以及来自不同谱系的神经母细胞是异质的，可以根据其动态特性分为不同的簇。有趣的是，我们还观察到来自不同 NSC 谱系的神经母细胞的重叠簇。我们进一步表明，遗传扰动或环境刺激以亚群特异性的方式影响神经母细胞的迁移特性。因此，我们的数据提供了评估迁移神经母细胞异质性的框架。
