Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy.
Banca Regionale Sangue Cordone Ombelicale, UOC Immunoematologia e Medicina Trasfusionale, Policlinico Umberto I, 00161 Rome, Italy.
Int J Mol Sci. 2024 Nov 16;25(22):12305. doi: 10.3390/ijms252212305.
The differentiation/maturation trajectories of different blood cell types stemming from a CD34 common ancestor takes place in different biologically relevant multidimensional spaces. Here, we generated microRNA and cytokine profiles from highly purified populations of hematopoietic progenitors/precursors derived from cord blood hematopoietic stem/progenitor cells. MicroRNA and cytokine landscapes were then analyzed to find their mutual relationships under the hypothesis that the highly variable miRNome corresponds to the 'force field' driving the goal of a stable phenotype (here corresponding to the cytokine abundance pattern) typical of each cell kind. The high dimensionality and lack of linearity of the hematopoietic process pushed us to adopt a distance-geometry approach to compare different trajectories, while a complex network analysis was instrumental in revealing the fine structure of microRNA-cytokine relations. Importantly, the approach enabled us to identify a limited number of factors (represented either by microRNAs or cytokines) corresponding to crucial nodes responsible for connecting distinct interaction modules. Subtle changes in 'master nodes', keeping the connections between different regulatory networks, may therefore be crucial in influencing hematopoietic differentiation. These findings highlight the extremely interconnected network structures underlying hematopoiesis regulation and identify key factors in the microRNA/cytokine landscape that may be potentially crucial for influencing network stability.
不同血液细胞类型源自 CD34 共同祖细胞的分化/成熟轨迹发生在不同的生物学相关多维空间中。在这里,我们从脐血造血干/祖细胞衍生的高度纯化的造血祖细胞/前体细胞群体中生成 microRNA 和细胞因子图谱。然后分析 microRNA 和细胞因子图谱,以根据假设找到它们之间的相互关系,即高度可变的 miRNA 组对应于驱动稳定表型(此处对应于每种细胞类型的细胞因子丰度模式)目标的“力场”。造血过程的高维性和非线性促使我们采用距离几何方法来比较不同的轨迹,而复杂的网络分析对于揭示 microRNA-细胞因子关系的精细结构非常重要。重要的是,该方法使我们能够识别数量有限的因子(由 microRNA 或细胞因子表示),这些因子对应于负责连接不同相互作用模块的关键节点。因此,“主节点”的细微变化(保持不同调节网络之间的连接)可能在影响造血分化方面至关重要。这些发现突出了造血调节背后极其相互关联的网络结构,并确定了 microRNA/细胞因子景观中的关键因素,这些因素可能对影响网络稳定性具有潜在的重要性。