Aebi, M. (2013). N-linked protein glycosylation in the ER. Biochim Biophys Acta, 1833, 2430-7.
Bibila, T. A. & Flickinger, M. C. (1991). A model of interorganelle monoclonal antibody transport and secretion in mouse hybridoma cells. Biotechnology and Bioengineering, 38, 767-780.
FDA (2004). Guidance for industry PAT, a framework for innovative pharmaceutical development, manufacturing, and quality assurance, Rockville, MD, U.S. Dept. of Health and Human Services, Food and Drug Administration, Center for Drug Evaluation and Research.
Harding, F. A., Stickler, M. M., Razo, J. & Dubridge, R. B. (2010). The immunogenicity of humanized and fully human antibodies: residual immunogenicity resides in the CDR regions. MAbs, 2, 256-65.
Hartel-Schenk, S., Minnifield, N., Reutter, W., Hanski, C., Bauer, C. & James Morr‚, D. (1991). Distribution of glycosyltransferases among Golgi apparatus subfractions from liver and hepatomas of the rat. Biochimica et Biophysica Acta (BBA) - General Subjects, 1115, 108-122.
Hirschberg, K. & Lippincott-Schwartz, J. (1999). Secretory pathway kinetics and in vivo analysis of protein traffic from the Golgi complex to the cell surface. The FASEB Journal, 13, S251-S256.
Hutter, S., Villiger, T. K., Brhlmann, D., Stettler, M., Broly, H., Soos, M. & Gunawan, R. (2017). Glycosylation flux analysis reveals dynamic changes of intracellular glycosylation flux distribution in Chinese hamster ovary fed-batch cultures. Metabolic Engineering, 43, 9-20.
Hutter, S., Wolf, M., Papili Gao, N., Lepori, D., Schweigler, T., Morbidelli, M. & Gunawan, R. (2018). Glycosylation Flux Analysis of Immunoglobulin G in Chinese Hamster Ovary Perfusion Cell Culture. Processes, 6, 176.
Jedrzejewski, P. M., Del Val, I. J., Constantinou, A., Dell, A., Haslam, S. M., Polizzi, K. M. & Kontoravdi, C. (2014). Towards controlling the glycoform: a model framework linking extracellular metabolites to antibody glycosylation. Int J Mol Sci, 15, 4492-522.
Jefferis, R. (2009). Glycosylation as a strategy to improve antibody-based therapeutics. Nat Rev Drug Discov, 8, 226-34.
Jim‚nez Del Val, I., Constantinou, A., Dell, A., Haslam, S., Polizzi, K. M. & Kontoravdi, C. (2013). A quantitative and mechanistic model for monoclonal antibody glycosylation as a function of nutrient availability during cell culture. BMC Proceedings, 7, O10.
Jimenez Del Val, I., Nagy, J. M. & Kontoravdi, C. (2011). A dynamic mathematical model for monoclonal antibody N-linked glycosylation and nucleotide sugar donor transport within a maturing Golgi apparatus. Biotechnol Prog, 27, 1730-43.
Kornfeld, R. & Kornfeld, S. (1985). Assembly of asparagine-linked oligosaccharides. Annu Rev Biochem, 54, 631-64.
Krambeck, F. J., Bennun, S. V., Andersen, M. R. & Betenbaugh, M. J. (2017). Model-based analysis of N-glycosylation in Chinese hamster ovary cells. PLOS ONE, 12, e0175376.
Krambeck, F. J., Bennun, S. V., Narang, S., Choi, S., Yarema, K. J. & Betenbaugh, M. J. (2009). A mathematical model to derive N-glycan structures and cellular enzyme activities from mass spectrometric data. Glycobiology, 19, 1163-75.
Krambeck, F. J. & Betenbaugh, M. J. (2005). A mathematical model of N-linked glycosylation. Biotechnol Bioeng, 92, 711-28.
Lu, R.-M., Hwang, Y.-C., Liu, I. J., Lee, C.-C., Tsai, H.-Z., Li, H.-J. & Wu, H.-C. (2020). Development of therapeutic antibodies for the treatment of diseases. Journal of Biomedical Science, 27, 1.
Mahadevan, R., Edwards, J. S. & Doyle, F. J. (2002). Dynamic flux balance analysis of diauxic growth in Escherichia coli. Biophysical journal, 83, 1331-1340.
Neelamegham, S., Aoki-Kinoshita, K., Bolton, E., Frank, M., Lisacek, F., Ltteke, T., O?Boyle, N., Packer, N. H., Stanley, P., Toukach, P., Varki, A., Woods, R. J. & Group, T. S. D. (2019). Updates to the Symbol Nomenclature for Glycans guidelines. Glycobiology, 29, 620-624.
Niwa, R. & Satoh, M. (2015). The current status and prospects of antibody engineering for therapeutic use: focus on glycoengineering technology. J Pharm Sci, 104, 930-41.
Rabouille, C., Hui, N., Hunte, F., Kieckbusch, R., Berger, E. G., Warren, G. & nilsson, T. (1995). Mapping the distribution of Golgi enzymes involved in the construction of complex oligosaccharides. Journal of Cell Science, 108, 1617-1627.
Sol , R. J. & Griebenow, K. (2010). Glycosylation of therapeutic proteins: an effective strategy to optimize efficacy. BioDrugs, 24, 9-21.
Spahn, P. N., Hansen, A. H., Hansen, H. G., Arnsdorf, J., Kildegaard, H. F. & Lewis, N. E. (2016). A Markov chain model for N-linked protein glycosylation--towards a low-parameter tool for model-driven glycoengineering. Metab Eng, 33, 52-66.
Spahn, P. N., Hansen, A. H., Kol, S., Voldborg, B. G. & Lewis, N. E. (2017). Predictive glycoengineering of biosimilars using a Markov chain glycosylation model. Biotechnol J, 12.
Sumit, M., Dolatshahi, S., Chu, A.-H. A., Cote, K., Scarcelli, J. J., Marshall, J. K., Cornell, R. J., Weiss, R., Lauffenburger, D. A., Mulukutla, B. C. & Figueroa, B. (2019). Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses. iScience, 12, 102-120.
Uma¤a, P. & Bailey, J. E. (1997). A mathematical model of N-linked glycoform biosynthesis. Biotechnology and Bioengineering, 55, 890-908.
Villiger, T. K., Scibona, E., Stettler, M., Broly, H., Morbidelli, M. & Soos, M. (2016). Controlling the time evolution of mAb N-linked glycosylation - Part II: Model-based predictions. Biotechnol Prog, 32, 1135-1148.
Zhou, Y. & Neelamegham, S. (2020). Available: VirtualGlycome.org/GlycoEnzDB [Accessed 11/17/2020].