Cytotechnology

, Volume 70, Issue 1, pp 331–338 | Cite as

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

  • Hamideh Fouladiha
  • Sayed-Amir Marashi
  • Mohammad Ali Shokrgozar
  • Mehdi Farokhi
  • Amir Atashi
Original Article

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.

Keywords

Metabolic networks Mesenchymal stem cell (MSC) Proliferation Differentiation Modeling 

Notes

Acknowledgements

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

Supplementary material

10616_2017_148_MOESM1_ESM.docx (183 kb)
Supplementary material 1 (DOCX 183 kb)

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Copyright information

© Springer Science+Business Media B.V. 2017

Authors and Affiliations

  • Hamideh Fouladiha
    • 1
  • Sayed-Amir Marashi
    • 1
  • Mohammad Ali Shokrgozar
    • 2
  • Mehdi Farokhi
    • 2
  • Amir Atashi
    • 3
  1. 1.Department of Biotechnology, College of ScienceUniversity of TehranTehranIran
  2. 2.National Cell Bank of IranPasteur Institute of IranTehranIran
  3. 3.Stem Cell and Tissue Engineering Research CenterShahroud University of Medical SciencesShahroudIran

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