Literature DB >> 28980092

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

Hamideh Fouladiha1, Sayed-Amir Marashi2, Mohammad Ali Shokrgozar3, Mehdi Farokhi3, Amir Atashi4.   

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:  Differentiation; Mesenchymal stem cell (MSC); Metabolic networks; Modeling; Proliferation

Year:  2017        PMID: 28980092      PMCID: PMC5809662          DOI: 10.1007/s10616-017-0148-6

Source DB:  PubMed          Journal:  Cytotechnology        ISSN: 0920-9069            Impact factor:   2.058


  38 in total

1.  Extreme pathway analysis of human red blood cell metabolism.

Authors:  Sharon J Wiback; Bernhard O Palsson
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

2.  A CHEMICAL MECHANISM FOR OSCILLATION OF GLYCOLYTIC INTERMEDIATES IN YEAST CELLS.

Authors:  J HIGGINS
Journal:  Proc Natl Acad Sci U S A       Date:  1964-06       Impact factor: 11.205

Review 3.  Using Genome-scale Models to Predict Biological Capabilities.

Authors:  Edward J O'Brien; Jonathan M Monk; Bernhard O Palsson
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

Review 4.  Next-generation genome-scale models for metabolic engineering.

Authors:  Zachary A King; Colton J Lloyd; Adam M Feist; Bernhard O Palsson
Journal:  Curr Opin Biotechnol       Date:  2015-01-07       Impact factor: 9.740

Review 5.  Predicting drug targets and biomarkers of cancer via genome-scale metabolic modeling.

Authors:  Livnat Jerby; Eytan Ruppin
Journal:  Clin Cancer Res       Date:  2012-10-15       Impact factor: 12.531

6.  A whole-cell computational model predicts phenotype from genotype.

Authors:  Jonathan R Karr; Jayodita C Sanghvi; Derek N Macklin; Miriam V Gutschow; Jared M Jacobs; Benjamin Bolival; Nacyra Assad-Garcia; John I Glass; Markus W Covert
Journal:  Cell       Date:  2012-07-20       Impact factor: 41.582

Review 7.  Recent advances in the reconstruction of metabolic models and integration of omics data.

Authors:  Rajib Saha; Anupam Chowdhury; Costas D Maranas
Journal:  Curr Opin Biotechnol       Date:  2014-03-12       Impact factor: 9.740

8.  A rational design approach for amino acid supplementation in hepatocyte culture.

Authors:  Hong Yang; Charles M Roth; Marianthi G Ierapetritou
Journal:  Biotechnol Bioeng       Date:  2009-08-15       Impact factor: 4.530

9.  Safety and possible outcome assessment of autologous Schwann cell and bone marrow mesenchymal stromal cell co-transplantation for treatment of patients with chronic spinal cord injury.

Authors:  Saeed Oraee Yazdani; Maryam Hafizi; Ali-Reza Zali; Amir Atashi; Farzad Ashrafi; Amir-Saeed Seddighi; Masoud Soleimani
Journal:  Cytotherapy       Date:  2013-07       Impact factor: 5.414

10.  Reconstruction of a generic metabolic network model of cancer cells.

Authors:  Mahdieh Hadi; Sayed-Amir Marashi
Journal:  Mol Biosyst       Date:  2014-11
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  6 in total

1.  Identifying Biomarkers of Wharton's Jelly Mesenchymal Stromal Cells Using a Dynamic Metabolic Model: The Cell Passage Effect.

Authors:  Benoît Laflaquière; Gabrielle Leclercq; Chandarong Choey; Jingkui Chen; Sabine Peres; Caryn Ito; Mario Jolicoeur
Journal:  Metabolites       Date:  2018-02-24

Review 2.  Electrically Conductive Materials: Opportunities and Challenges in Tissue Engineering.

Authors:  Azadeh Saberi; Farzaneh Jabbari; Payam Zarrintaj; Mohammad Reza Saeb; Masoud Mozafari
Journal:  Biomolecules       Date:  2019-09-04

3.  The metabolic network model of primed/naive human embryonic stem cells underlines the importance of oxidation-reduction potential and tryptophan metabolism in primed pluripotency.

Authors:  Meisam Yousefi; Sayed-Amir Marashi; Ali Sharifi-Zarchi; Sara Taleahmad
Journal:  Cell Biosci       Date:  2019-08-29       Impact factor: 7.133

4.  The Power of LC-MS Based Multiomics: Exploring Adipogenic Differentiation of Human Mesenchymal Stem/Stromal Cells.

Authors:  Evelyn Rampler; Dominik Egger; Harald Schoeny; Mate Rusz; Maria Pires Pacheco; Giada Marino; Cornelia Kasper; Thomas Naegele; Gunda Koellensperger
Journal:  Molecules       Date:  2019-10-08       Impact factor: 4.411

Review 5.  Current Status and Future Prospects of Genome-Scale Metabolic Modeling to Optimize the Use of Mesenchymal Stem Cells in Regenerative Medicine.

Authors:  Þóra Sigmarsdóttir; Sarah McGarrity; Óttar Rolfsson; James T Yurkovich; Ólafur E Sigurjónsson
Journal:  Front Bioeng Biotechnol       Date:  2020-03-31

6.  Analyzing Metabolic States of Adipogenic and Osteogenic Differentiation in Human Mesenchymal Stem Cells via Genome Scale Metabolic Model Reconstruction.

Authors:  Thora Bjorg Sigmarsdottir; Sarah McGarrity; James T Yurkovich; Óttar Rolfsson; Ólafur Eysteinn Sigurjónsson
Journal:  Front Cell Dev Biol       Date:  2021-06-04
  6 in total

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