Applications of a metabolic network model of mesenchymal stem cells for controlling cell proliferation and differentiation

• Published in: Cytotechnology (Dordrecht) Vol. 70; no. 1; pp. 331 - 338
• Main Authors: Fouladiha, Hamideh, Marashi, Sayed-Amir, Shokrgozar, Mohammad Ali, Farokhi, Mehdi, Atashi, Amir
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.02.2018; Springer Nature B.V
• Subjects: Biochemistry; Biomass; Biomedicine; Biotechnology; Bone marrow; Cell culture; Cell differentiation; Cell growth; Cell proliferation; Cell therapy; Chemistry; Chemistry and Materials Science; Computer applications; Genomes; Glucose; Medical research; Mesenchymal stem cells; Mesenchyme; Metabolic networks; Metabolism; Metabolites; Ordinary differential equations; Original; Original Article; Penicillin; Regenerative medicine; Skin & tissue grafts; Stem cells; United States > US; Mesenchymal stem cell (MSC); Proliferation; Differentiation; Modeling; Metabolic networks
• ISSN: 0920-9069; 1573-0778
• DOI: 10.1007/s10616-017-0148-6

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.