1 Buck Institute for Research on Aging , Novato, California.
Stem Cells Dev. 2014 Feb 15;23(4):406-20. doi: 10.1089/scd.2013.0412. Epub 2013 Nov 7.
Recent advances in human embryonic stem cell (ESC) and induced pluripotent stem cell (iPSC) biology enable generation of dopaminergic neurons for potential therapy and drug screening. However, our current understanding of molecular and cellular signaling that controls human dopaminergic development and function is limited. Here, we report on a whole genome analysis of gene expression during dopaminergic differentiation of human ESC/iPSC using Illumina bead microarrays. We generated a transcriptome data set containing the expression levels of 28,688 unique transcripts by profiling five lines (three ESC and two iPSC lines) at four stages of differentiation: (1) undifferentiated ESC/iPSC, (2) neural stem cells, (3) dopaminergic precursors, and (4) dopaminergic neurons. This data set provides comprehensive information about genes expressed at each stage of differentiation. Our data indicate that distinct pathways are activated during neural and dopaminergic neuronal differentiation. For example, WNT, sonic hedgehog (SHH), and cAMP signaling pathways were found over-represented in dopaminergic populations by gene enrichment and pathway analysis, and their role was confirmed by perturbation analyses using RNAi (small interfering RNA of SHH and WNT) or small molecule [dibutyryl cyclic AMP (dcAMP)]. In summary, whole genome profiling of dopaminergic differentiation enables systematic analysis of genes/pathways, networks, and cellular/molecular processes that control cell fate decisions. Such analyses will serve as the foundation for better understanding of dopaminergic development, function, and development of future stem cell-based therapies.
人类胚胎干细胞(ESC)和诱导多能干细胞(iPSC)生物学的最新进展使多巴胺能神经元的产生能够用于潜在的治疗和药物筛选。然而,我们目前对控制人类多巴胺能发育和功能的分子和细胞信号的理解是有限的。在这里,我们报告了使用 Illumina 珠微阵列对人类 ESC/iPSC 的多巴胺能分化过程中的全基因组基因表达进行的分析。我们通过对五个系(三个 ESC 和两个 iPSC 系)在分化的四个阶段(1)未分化的 ESC/iPSC、(2)神经干细胞、(3)多巴胺能前体细胞和(4)多巴胺能神经元进行分析,生成了一个包含 28688 个独特转录本表达水平的转录组数据集。该数据集提供了关于分化过程中每个阶段表达的基因的综合信息。我们的数据表明,在神经和多巴胺能神经元分化过程中激活了不同的途径。例如,通过基因富集和途径分析发现 WNT、 sonic hedgehog (SHH) 和 cAMP 信号途径在多巴胺能群体中过度表达,并且通过使用 RNAi(SHH 和 WNT 的小干扰 RNA)或小分子 [二丁酰环 AMP (dcAMP)] 的扰动分析证实了它们的作用。总之,多巴胺能分化的全基因组分析能够系统地分析控制细胞命运决定的基因/途径、网络以及细胞/分子过程。这些分析将为更好地理解多巴胺能发育、功能和未来基于干细胞的治疗方法的发展奠定基础。