Fouladiha Hamideh, Marashi Sayed-Amir, Shokrgozar Mohammad Ali, Farokhi Mehdi, Atashi Amir
Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran.
National Cell Bank of Iran, Pasteur Institute of Iran, Tehran, Iran.
Cytotechnology. 2018 Feb;70(1):331-338. doi: 10.1007/s10616-017-0148-6. Epub 2017 Oct 4.
Mesenchymal stem cells (MSCs) can be isolated from several tissues of adults. In addition, MSCs have the potential of differentiation into several cell types. Therefore, MSCs are very useful in stem cell therapy and regenerative medicine. MSCs have also been used as gene or protein carriers. As a result, maintaining MSCs in a desirable metabolic state has been the subject of several studies. Here, we used a genome scale metabolic network model of bone marrow derived MSCs for exploring the metabolism of these cells. We analyzed metabolic fluxes of the model in order to find ways of increasing stem cell proliferation and differentiation. Consequently, the experimental results were in consistency with computational results. Therefore, analyzing metabolic models was proven to be a promising field in biomedical researches of stem cells.
间充质干细胞(MSCs)可从成人的多种组织中分离得到。此外,间充质干细胞具有分化为多种细胞类型的潜力。因此,间充质干细胞在干细胞治疗和再生医学中非常有用。间充质干细胞也被用作基因或蛋白质载体。因此,将间充质干细胞维持在理想的代谢状态一直是多项研究的主题。在这里,我们使用了骨髓来源的间充质干细胞的基因组规模代谢网络模型来探索这些细胞的代谢。我们分析了该模型的代谢通量,以寻找增加干细胞增殖和分化的方法。因此,实验结果与计算结果一致。因此,分析代谢模型被证明是干细胞生物医学研究中有前景的领域。