Items where Author is "Jolicoeur, Mario"

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Arnold, E., Hammami, I., Chen, J., Gupte, S., Durocher, Y., & Jolicoeur, M. (2016). Overexpression of G6PDH does not affect the behavior of HEK-293 clones stably expressing interferon-α2b. AIMS Bioengineering, 3(3), 319-336. Available

Aucoin, M. G., McMurray-Beaulieu, V., Poulin, F., Boivin, E. B., Chen, J., Ardelean, F. M., Cloutier, M., Choi, Y. J., Miguez, C. B., & Jolicoeur, M. (2006). Identifying conditions for inducible protein production in E. coli: combining a fed-batch and multiple induction approach. Microbial Cell Factories, 5. Available

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Claeyssen, É., Dorion, S., Clendenning, A., He, J. Z., Wally, O., Chen, J., Auslender, E. L., Moisan, M.-C., Jolicoeur, M., & Rivoal, J. (2013). The futile cycling of hexose phosphates could account for the fact that hexokinase exerts a high control on glucose phosphorylation but not on glycolytic rate in transgenic potato (solanum tuberosum) roots. PLOS One, 8(1). Available

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da Veiga Moreira, J., Hamraz, M., Abolhassani, M., Schwartz, L., Jolicoeur, M., & Peres, S. (2019). Metabolic therapies inhibit tumor growth in vivo and in silico. Scientific Reports, 9(1). Available

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Goffaux, G., Hammami, I., & Jolicoeur, M. (2017). A dynamic metabolic flux analysis of myeloid-derived suppressor cells confirms immunosuppression-related metabolic plasticity. Scientific Reports, 7(1). Available

Goffaux, G., Hammami, I., & Jolicoeur, M. (2017). A dynamic metabolic flux analysis of myeloid-derived suppressor cells confirms immunosuppression-related metabolic plasticity. Scientific Reports, 7, 9850 (14 pages). Available

Ghorbaniaghdam, A., Chen, J., Henry, O., & Jolicoeur, M. (2014). Analyzing Clonal Variation of Monoclonal Antibody-Producing CHO Cell Lines Using an In Silico Metabolomic Platform. PLOS One, 9(3). Available

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Hoemann, C. D., Guzmán-Morales, J., Tran-Khanh, N., Lavallée, G., Jolicoeur, M., & Lavertu, M. (2013). Chitosan rate of uptake in HEK293 cells is influenced by soluble versus microparticle state and enhanced by serum-induced cell metabolism and lactate-based media acidification. Molecules, 18(1), 1015-1035. Available

Hammami, I., Chen, J., Murschel, F., Bronte, V., De Crescenzo, G., & Jolicoeur, M. (2012). Immunosuppressive activity enhances central carbon metabolism and bioenergetics in myeloid-derived suppressor cells in vitro models. BMC Cell Biology, 13. Available

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Jolicoeur, M. (2014). Modeling cell behavior: moving beyond intuition. AIMS Bioengineering, 1(1). Available

Jolicoeur, M. (1998). Optimisation d'un procédé de production de champignons endomycorhiziens en bioréacteur [Ph.D. thesis, École Polytechnique de Montréal]. Available

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Laflaquière, B., Leclercq, G., Choey, C., Chen, J., Peres, S., Ito, C., & Jolicoeur, M. (2018). Identifying biomarkers of Wharton's Jelly mesenchymal stromal cells using a dynamic metabolic model: the cell passage effect. Metabolites, 8(1). Available

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Murschel, F., Zaimi, A., Noël, S., Jolicoeur, M., & De Crescenzo, G. (2016, May). Amphiphilic coil-tags for the direct and oriented adsorption of growth factors on biomaterials [Other]. 10th World Biomaterials Congress, Montréal, Québec. Published in Frontiers in Bioengineering and Biotechnology. Available

Murschel, F., Fortier, C., Hodges, R., Jolicoeur, M., & De Crescenzo, G. (2016, May). Coiled-coil interactions: a versatile bioaffinity system for the oriented immobilization and tunable release of biomolecules from biomaterials [Poster]. 10th World Biomaterials Congress, Montréal, Québec. Published in Frontiers in Bioengineering and Biotechnology. Available

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Peres, S., Jolicoeur, M., Moulin, C., Dague, P., & Schuster, S. (2017). How important is thermodynamics for identifying elementary flux modes? PLOS One, 12(2), 1-20. Available

Poliquin, P. O., Chen, J., Cloutier, M., Trudeau, L.-É., & Jolicoeur, M. (2013). Metabolomics and in-silico analysis reveal critical energy deregulations in animal models of Parkinson's disease. PLOS One, 8(7). Available

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Ren, X., Zhao, X., Turcotte, F., Deschênes, J.-S., Tremblay, R., & Jolicoeur, M. (2017). Current lipid extraction methods are significantly enhanced adding a water treatment step in Chlorella protothecoides. Microbial Cell Factories, 16, 1-13. Available

Robitaille, J., Chen, J., & Jolicoeur, M. (2015). A Single Dynamic Metabolic Model Can Describe mAb Producing CHO Cell Batch and Fed-Batch Cultures on Different Culture Media. PLOS One, 10(9). Available

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Zhao, X., Condruz, S., Chen, J., & Jolicoeur, M. (2016). A quantitative metabolomics study of high sodium response in Clostridium acetobutylicum ATCC 824 acetone-butanol-ethanol (ABE) fermentation. Scientific Reports, 6, 1-13. Available