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

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Abstract

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.

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Acknowledgements

We would like to acknowledge the financial support of University of Tehran for this research under grant number 28791/1/2.

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Authors and Affiliations

  1. Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran

    Hamideh Fouladiha & Sayed-Amir Marashi

  2. National Cell Bank of Iran, Pasteur Institute of Iran, Tehran, Iran

    Mohammad Ali Shokrgozar & Mehdi Farokhi

  3. Stem Cell and Tissue Engineering Research Center, Shahroud University of Medical Sciences, Shahroud, Iran

    Amir Atashi

Authors
  1. Hamideh Fouladiha
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  2. Sayed-Amir Marashi
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  3. Mohammad Ali Shokrgozar
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  4. Mehdi Farokhi
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  5. Amir Atashi
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Corresponding author

Correspondence to Sayed-Amir Marashi.

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Fouladiha, H., Marashi, SA., Shokrgozar, M.A. et al. Applications of a metabolic network model of mesenchymal stem cells for controlling cell proliferation and differentiation. Cytotechnology 70, 331–338 (2018). https://doi.org/10.1007/s10616-017-0148-6

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  • DOI: https://doi.org/10.1007/s10616-017-0148-6

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