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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).
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, p. 1-13.
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), p. 319-336.
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).
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).
Claeyssen, É., Dorion, S., Clendenning, A., He, J. Z., Wally, O., Chen, J., ... 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).
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).
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.
Aucoin, M. G., McMurray-Beaulieu, V., Poulin, F., Boivin, E. B., Chen, J., Ardelean, F. M., ... Jolicoeur, M. (2006). Identifying conditions for inducible protein production in E. coli: combining a fed-batch and multiple induction approach. Microbial Cell Factories, 5.
