 | Monter d'un niveau |
Réseau de collaborationCe graphique trace les liens entre tous les collaborateurs des publications de {} figurant sur cette page.
Chaque lien représente une collaboration sur la même publication. L'épaisseur du lien représente le nombre de collaborations.
Utilisez la molette de la souris ou les gestes de défilement pour zoomer à l'intérieur du graphique.
Vous pouvez cliquer sur les noeuds et les liens pour les mettre en surbrillance et déplacer les noeuds en les glissant.
Enfoncez la touche "Ctrl" ou la touche "⌘" en cliquant sur les noeuds pour ouvrir la liste des publications de cette personne.
Abusarah, J., Khodayarian, F., El-Hachem, N., Salame, N., Olivier, M., Balood, M., Roversi, K., Talbot, S., Bikorimana, J.-P., Chen, J., Jolicoeur, M., Trudeau, L.-É., Kamyabiazar, S., Annabi, B., Robert, F., Pelletier, J., El-Kadiry, A. E.-H., Shammaa, R., & Rafei, M. (2021). Engineering immunoproteasome-expressing mesenchymal stromal cells: A potent cellular vaccine for lymphoma and melanoma in mice. Cell Reports Medicine, 2(12), 100455 (27 pages). Lien externe
Bardyn, M., Chen, J., Dussiot, M., Crettaz, D., Schmid, L., Längst, E., Amireault, P., Tissot, J.-D., Jolicoeur, M., & Prudent, M. (2020). Restoration of physiological levels of uric acid and ascorbic acid reroutes the metabolism of stored red blood cells. Metabolites, 10(6), 226 (18 pages). Disponible
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), 18. Disponible
Zhao, X., Kasbi, M., Chen, J., Peres, S., & Jolicoeur, M. (2017). A dynamic metabolic flux analysis of ABE (acetone-butanol-ethanol) fermentation by Clostridium acetobutylicum ATCC 824, with riboflavin as a by-product. Biotechnology and Bioengineering, 114(12), 2907-2919. Lien externe
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), 1-13. Disponible
Ren, X., Chen, J., Deschênes, J.-S., Tremblay, R., & Jolicoeur, M. (2016). Glucose feeding recalibrates carbon flux distribution and favours lipid accumulation in Chlorella protothecoides through cell energetic management. Algal Research-Biomass Biofuels and Bioproducts, 14, 83-91. Lien externe
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. Disponible
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). Disponible
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). Disponible
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), e53898. Disponible
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). Disponible
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(1). Disponible
Hammami, I., Bertrand, M., Chen, J., Bronte, V., De Crescenzo, G., & Jolicoeur, M. (2012). Nitric Oxide Affects Immune Cells Bioenergetics: Long-Term Effects of Nitric-Oxide Derivatives on Leukaemic Jurkat Cell Metabolism. Immunobiology, 217(8), 808-815. Lien externe
Hammami, I., Chen, J., Bronte, V., De Crescenzo, G., & Jolicoeur, M. (2011). Myeloid-derived suppressor cells exhibit two bioenergetic steady-states in vitro. Journal of Biotechnology, 152(1-2), 43-48. Lien externe
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(1). Disponible
Chen, J. (2004). In vivo ³¹P-NMR study of phosphate metabolism for Eschscholtzia californica using a small-scale perfused bioreactor [Mémoire de maîtrise, École Polytechnique de Montréal]. Disponible
