Subkhankulova Tatiana, Kelsh Robert Neil
Department of Biology and Biochemistry, University of Bath, Bath, UK.
Methods Mol Biol. 2019;1976:185-193. doi: 10.1007/978-1-4939-9412-0_14.
Neural crest cells are an important class of multipotent stem cells, generating highly diverse derivatives. Understanding the gene regulatory networks underlying this process is of great interest, but the highly migratory and thus widely dispersed nature of the differentiating cells makes isolation of cells difficult. Fluorescence-activated cell sorting (FACS) of transgenically labelled neural crest-derived cells after disaggregation of embryos is well-suited to purifying these cells. However, their diverse differentiation means that transcriptional analysis at single cell resolution is necessary to dissect the gene regulatory networks at play. NanoString technology provides a method for highly sensitive, quantitative transcriptional profiling for a pre-defined set of genes of interest. Here we provide a detailed protocol for FACS purification of neural crest-derived cells, sorted as single cells into a multi-well plate, and their subsequent NanoString profiling, using a predetermined gene set focused on pigment cells.
神经嵴细胞是一类重要的多能干细胞,能产生高度多样的衍生物。了解这一过程背后的基因调控网络极具意义,但分化细胞高度迁移且广泛分散的特性使得细胞分离颇具难度。胚胎解离后,通过荧光激活细胞分选(FACS)对转基因标记的神经嵴衍生细胞进行分选,非常适合用于纯化这些细胞。然而,它们多样的分化方式意味着需要在单细胞分辨率下进行转录分析,以剖析其中起作用的基因调控网络。NanoString技术提供了一种方法,可对一组预先定义的感兴趣基因进行高灵敏度、定量的转录谱分析。在此,我们提供了一份详细方案,用于将神经嵴衍生细胞通过FACS纯化,以单细胞形式分选到多孔板中,随后使用聚焦于色素细胞的预定基因集对其进行NanoString分析。