PDF(Pubmed)
Abstract：
UNASSIGNED: Umbilical cord blood hematopoietic stem cells (UCB-HSCs) have important roles in the treatment of illnesses based on their self-renewal and potency characteristics. Knowing the gene profiles and signaling pathways involved in each step of the cell cycle could improve the therapeutic approaches of HSCs. The aim of this study was to predict the gene profiles and signaling pathways involved in the G0, G1, and differentiation stages of HSCs.
UNASSIGNED: Interventional (n = 8) and non-interventional (n = 3) datasets were obtained from the Gene Expression Omnibus (GEO) database, and were crossed and analyzed to determine the high- and low-express genes related to each of the G0, G1, and differentiation stages of HSCs. Then, the scores of STRING were annotated to the gene data. The gene networks were constructed using Cytoscape software, and enriched with the KEGG and GO databases.
UNASSIGNED: The high- and low-express genes were determined due to inter and intra intersections of the interventional and non-interventional data. The non-interventional data were applied to construct the gene networks (n = 6) with the nodes improved using the interventional data. Several important signaling pathways were suggested in each of the G0, G1, and differentiation stages.
UNASSIGNED: The data revealed that the different signaling pathways are activated in each of the G0, G1, and differentiation stages so that their genes may be targeted to improve the HSC therapy.
UNASSIGNED: Interventional (n = 8) and non-interventional (n = 3) datasets were obtained from the Gene Expression Omnibus (GEO) database, and were crossed and analyzed to determine the high- and low-express genes related to each of the G0, G1, and differentiation stages of HSCs. Then, the scores of STRING were annotated to the gene data. The gene networks were constructed using Cytoscape software, and enriched with the KEGG and GO databases.
UNASSIGNED: The high- and low-express genes were determined due to inter and intra intersections of the interventional and non-interventional data. The non-interventional data were applied to construct the gene networks (n = 6) with the nodes improved using the interventional data. Several important signaling pathways were suggested in each of the G0, G1, and differentiation stages.
UNASSIGNED: The data revealed that the different signaling pathways are activated in each of the G0, G1, and differentiation stages so that their genes may be targeted to improve the HSC therapy.
摘要：
■脐带血造血干细胞（UCB-HSC）基于其自我更新和效力特征在疾病的治疗中具有重要作用。了解细胞周期每个步骤中涉及的基因谱和信号通路可以改善HSC的治疗方法。这项研究的目的是预测HSCsG0，G1和分化阶段涉及的基因谱和信号通路。
■干预（n=8）和非干预（n=3）数据集从基因表达综合（GEO）数据库获得，并进行杂交和分析以确定与HSCs的G0，G1和分化阶段中的每一个相关的高表达和低表达基因。然后，将STRING的分数注释到基因数据中。使用Cytoscape软件构建基因网络，并丰富了KEGG和GO数据库。
■由于介入和非介入数据的内部和内部交叉，确定了高表达和低表达基因。非介入数据用于构建基因网络（n=6），并使用介入数据改进了节点。在G0，G1和分化阶段的每个阶段都提出了几种重要的信号传导途径。
■数据显示，不同的信号通路在G0，G1和分化阶段的每个阶段都被激活，因此它们的基因可能被靶向以改善HSC治疗。
■干预（n=8）和非干预（n=3）数据集从基因表达综合（GEO）数据库获得，并进行杂交和分析以确定与HSCs的G0，G1和分化阶段中的每一个相关的高表达和低表达基因。然后，将STRING的分数注释到基因数据中。使用Cytoscape软件构建基因网络，并丰富了KEGG和GO数据库。
■由于介入和非介入数据的内部和内部交叉，确定了高表达和低表达基因。非介入数据用于构建基因网络（n=6），并使用介入数据改进了节点。在G0，G1和分化阶段的每个阶段都提出了几种重要的信号传导途径。
■数据显示，不同的信号通路在G0，G1和分化阶段的每个阶段都被激活，因此它们的基因可能被靶向以改善HSC治疗。
