Abstract
Metabolism and cell cycle are two central processes in the life of a eukaryote cell. If they have been extensively studied in their own right, their interconnection remains relatively poorly understood. In this paper, we propose to use a differential model of the central carbon metabolism. After verifying the model accurately reproduces known metabolic variations during the cell cycle’s phases, we extend it into a hybrid system reproducing an imposed succession of the phases. This first hybrid approach qualitatively recovers observations made in the literature, providing an interesting first step towards a better understanding of the crosstalks between cell cycle and metabolism.
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Notes
- 1.
Note that this fact amounts to supposing that the “genetic part” of the cell ensures the maintenance of enzymatic pools.
- 2.
For the sake of simplicity, the demands in amino acids are ignored in this paper.
- 3.
in [3], the range of variation of redox ratios is low in normal cells with respect to cancer cells.
References
Barberis, M., Todd, R.G., van der Zee, L.: Advances and challenges in logical modeling of cell cycle regulation: perspective for multi-scale, integrative yeast cell models. FEMS Yeast Res. 17(1), fow103 (2017). https://doi.org/10.1093/femsyr/fow103
Cai, L., Tu, B.P.: Driving the cell cycle through metabolism. Annu. Rev. Cell Dev. Biol. 28(1), 59–87 (2012). https://doi.org/10.1146/annurev-cellbio-092910-154010
da Veiga Moreira, J., et al.: The redox status of cancer cells supports mechanisms behind the Warburg effect. Metabolites 6(4), 33 (2016). https://doi.org/10.3390/metabo6040033
da Veiga Moreira, J., Hamraz, M., Abolhassani, M., Schwartz, L., Jolicœur, M., Peres, S.: Metabolic therapies inhibit tumor growth in vivo and in silico. Sci. Rep. 9(1) (2019). https://doi.org/10.1038/s41598-019-39109-1
da Veiga Moreira, J., et al.: Cell cycle progression is regulated by intertwined redox oscillators. Theor. Biol. Med. Model. 12(1) (2015). https://doi.org/10.1186/s12976-015-0005-2
Diaz-Moralli, S., Tarrado-Castellarnau, M., Miranda, A., Cascante, M.: Targeting cell cycle regulation in cancer therapy. Pharmacol. Ther. 138(2), 255–271 (2013). https://doi.org/10.1016/j.pharmthera.2013.01.011
Fauré, A., Naldi, A., Chaouiya, C., Thieffry, D.: Dynamical analysis of a generic Boolean model for the control of the mammalian cell cycle. Bioinformatics 22(14), e124–e131 (2006). https://doi.org/10.1093/bioinformatics/btl210
Funahashi, A., Matsuoka, Y., Jouraku, A., Morohashi, M., Kikuchi, N., Kitano, H.: Cell designer 3.5: a versatile modeling tool for biochemical networks. Proc. IEEE 96(8), 1254–1265 (2008). https://doi.org/10.1109/JPROC.2008.925458
Kalucka, J., et al.: Metabolic control of the cell cycle. Cell Cycle 14(21), 3379–3388 (2015). https://doi.org/10.1080/15384101.2015.1090068
Kaplon, J., van Dam, L., Peeper, D.: Two-way communication between the metabolic and cell cycle machineries: the molecular basis. Cell Cycle 14(13), 2022–2032 (2015). https://doi.org/10.1080/15384101.2015.1044172
Novák, B., Tyson, J.J.: A model for restriction point control of the mammalian cell cycle. J. Theor. Biol. 230(4), 563–579 (2004). https://doi.org/10.1016/j.jtbi.2004.04.039
Robitaille, J., Chen, J., Jolicoeur, M.: A Single dynamic metabolic model can describe mAb producing CHO cell batch and fed-batch cultures on different culture media. PLoS ONE 10(9), e0136815 (2015). https://doi.org/10.1371/journal.pone.0136815
Segel, I.H.: Enzyme Kinetics: Behavior and Analysis of Rapid Equilibrium and Steady State Enzyme Systems. Wiley, New York (1993). Wiley classics library ed edn. oCLC: ocm31157638
Sheikh, K., Förster, J., Nielsen, L.K.: Modeling hybridoma cell metabolism using a generic genome-scale metabolic model of Mus musculus. Biotechnol. Prog. 21(1), 112–121 (2008). https://doi.org/10.1021/bp0498138
Zhao, G., Chen, Y., Carey, L., Futcher, B.: Cyclin-dependent Kinase co-ordinates carbohydrate metabolism and cell cycle in S. cerevisiae. Mol. Cell 62(4), 546–557 (2016). https://doi.org/10.1016/j.molcel.2016.04.026
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Moulin, C., Tournier, L., Peres, S. (2019). Using a Hybrid Approach to Model Central Carbon Metabolism Across the Cell Cycle. In: Češka, M., Paoletti, N. (eds) Hybrid Systems Biology. HSB 2019. Lecture Notes in Computer Science(), vol 11705. Springer, Cham. https://doi.org/10.1007/978-3-030-28042-0_9
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DOI: https://doi.org/10.1007/978-3-030-28042-0_9
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