Zhang Sen, Jiang Xing, Yan Min, Cheng Zixiao, Bi Jun, Wang Qinglu, Luo Ying, Tian Xuewen
Shandong Sport University, Jinan, Shandong Province, China.
Gdansk University of Physical Education and Sport, Gdansk, Poland.
Braz J Med Biol Res. 2024 Dec 13;57:e13482. doi: 10.1590/1414-431X2024e13482. eCollection 2024.
Both embryonic stem cells (ESCs) and the successful reprogramming of induced pluripotent stem cells (iPSCs) offer an unprecedented therapeutic potential for Parkinson's disease (PD), allowing for the replacement of depleted neurons in PD-affected brain regions, thereby achieving therapeutic goals. This study explored the differences in cell types between iPSCs and ESCs in the PD brain to provide a feasible theoretical basis for the improved use of iPSCs as a replacement for ESCs in treating PD. Signal cell RNA sequencing data and microarray data of ESCs and iPSCs were collected from the GEO database. scRNA-seq data were subjected to quality control, clustering, and identification using the Seurat R package to determine cell types and proportions in ESCs and iPSCs. Differential expression analysis was performed to identify differentially expressed genes between ESCs and iPSCs, and PPI network analysis was conducted using String. Based on scRNA-seq data, we identified 13 cell clusters in ESCs and 13 cell clusters in iPSCs. iPSCs were predominantly composed of immune cells and lacked astrocytes, neurons, and dopamine neurons compared to ESCs. iPSCs also exhibited lower cell type diversity compared to ESCs. At the gene level, iPSCs lacked key genes, such as TH and GAP43 for nerve growth and development. At the metabolic level, the difference between ESCs and iPSC was mainly reflected in nerve cells and was closely related to the tumor-proliferation signature. iPSCs can be promoted to differentiate into cell types closer to or even replace ESCs, providing a better therapeutic option for PD treatment.
胚胎干细胞(ESCs)和诱导多能干细胞(iPSCs)的成功重编程都为帕金森病(PD)提供了前所未有的治疗潜力,能够替代PD受累脑区中耗竭的神经元,从而实现治疗目标。本研究探讨了PD脑中iPSCs和ESCs之间细胞类型的差异,为在治疗PD中更好地使用iPSCs替代ESCs提供可行的理论依据。从GEO数据库收集ESCs和iPSCs的信号细胞RNA测序数据和微阵列数据。使用Seurat R包对scRNA-seq数据进行质量控制、聚类和鉴定,以确定ESCs和iPSCs中的细胞类型和比例。进行差异表达分析以鉴定ESCs和iPSCs之间差异表达的基因,并使用String进行蛋白质-蛋白质相互作用(PPI)网络分析。基于scRNA-seq数据,我们在ESCs中鉴定出13个细胞簇,在iPSCs中鉴定出13个细胞簇。与ESCs相比,iPSCs主要由免疫细胞组成,缺乏星形胶质细胞、神经元和多巴胺能神经元。与ESCs相比,iPSCs的细胞类型多样性也较低。在基因水平上,iPSCs缺乏神经生长和发育的关键基因,如TH和GAP43。在代谢水平上,ESCs和iPSCs之间的差异主要体现在神经细胞中,并且与肿瘤增殖特征密切相关。可以促进iPSCs分化为更接近ESCs甚至替代ESCs的细胞类型,为PD治疗提供更好的治疗选择。