Stumpf Patrick S, Ewing Rob, MacArthur Ben D
Centre for Human Development, Stem Cells and Regeneration, University of Southampton, Southampton, UK.
Institute for Life Sciences, University of Southampton, Southampton, UK.
Proteomics. 2016 Sep;16(17):2303-12. doi: 10.1002/pmic.201500528. Epub 2016 Aug 12.
Pluripotent stem cells (PSCs) are a popular model system for investigating development, tissue regeneration, and repair. Although much is known about the molecular mechanisms that regulate the balance between self-renewal and lineage commitment in PSCs, the spatiotemporal integration of responsive signaling pathways with core transcriptional regulatory networks are complex and only partially understood. Moreover, measurements made on populations of cells reveal only average properties of the underlying regulatory networks, obscuring their fine detail. Here, we discuss the reconstruction of regulatory networks in individual cells using novel single-cell transcriptomics and proteomics, in order to expand our understanding of the molecular basis of pluripotency, including the role of cell-cell variability within PSC populations, and ways in which networks may be controlled in order to reliably manipulate cell behavior.
多能干细胞(PSCs)是用于研究发育、组织再生和修复的一种常用模型系统。尽管人们对调节PSCs自我更新和谱系定向之间平衡的分子机制已经了解很多,但响应信号通路与核心转录调控网络的时空整合却很复杂,目前仅得到部分理解。此外,对细胞群体进行的测量仅揭示了基础调控网络的平均特性,掩盖了其精细细节。在此,我们讨论使用新型单细胞转录组学和蛋白质组学来重建单个细胞中的调控网络,以拓展我们对多能性分子基础的理解,包括PSCs群体内细胞间变异性的作用,以及为可靠地操纵细胞行为而控制网络的方式。