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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
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
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
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
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
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
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
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
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
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
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