Reddy Jayanth Venkatarama, Leibiger Thomas, Singh Sumit Kumar, Lee Kelvin H, Papoutsakis Eleftherios, Ierapetritou Marianthi
Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware, USA.
School of Biochemical Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India.
Biotechnol Bioeng. 2025 Apr;122(4):761-778. doi: 10.1002/bit.28916. Epub 2024 Dec 30.
The CHO VRC01 cell line produces an anti-HIV IgG1 monoclonal antibody containing N-linked glycans on both the Fab (variable) and Fc (constant) regions. Site-specific glycan analysis was used to measure the complex effects of cell culture process conditions on Fab and Fc glycosylation. Experimental data revealed major differences in glycan fractions across the two sites. Bioreactor pH was found to influence fucosylation, galactosylation, and sialylation in the Fab region and galactosylation in the Fc region. To understand the complex effects of process conditions on site-specific N-linked glycosylation, a kinetic model of site-specific N-linked glycosylation was developed. The model parameters provided mechanistic insights into the differences in glycan fractions observed in the Fc and Fab regions. Enzyme activities calculated from the model provided insights into the effect of bioreactor pH on site-specific N-linked glycosylation. Model predictions were experimentally tested by measuring glycosyltransferase-enzyme mRNA-levels and intracellular nucleotide sugar concentrations. The model was used to demonstrate the effect of increasing galactosyltransferase activity on site-specific N-linked glycan fractions. Experiments involving galactose and MnCl supplementation were used to test model predictions. The model is capable of providing insights into experimentally measured data and also of making predictions that can be used to design media supplementation strategies.
CHO VRC01细胞系产生一种抗HIV IgG1单克隆抗体,其Fab(可变)区和Fc(恒定)区均含有N-连接聚糖。采用位点特异性聚糖分析来测定细胞培养工艺条件对Fab和Fc糖基化的复杂影响。实验数据揭示了两个位点聚糖组分的主要差异。发现生物反应器pH会影响Fab区的岩藻糖基化、半乳糖基化和唾液酸化以及Fc区的半乳糖基化。为了理解工艺条件对位点特异性N-连接糖基化的复杂影响,建立了位点特异性N-连接糖基化的动力学模型。模型参数为Fc区和Fab区观察到的聚糖组分差异提供了机理见解。从模型计算出的酶活性为生物反应器pH对位点特异性N-连接糖基化的影响提供了见解。通过测量糖基转移酶mRNA水平和细胞内核苷糖浓度对模型预测进行了实验验证。该模型用于证明增加半乳糖基转移酶活性对位点特异性N-连接聚糖组分的影响。涉及补充半乳糖和MnCl的实验用于测试模型预测。该模型能够为实验测量数据提供见解,也能够做出可用于设计培养基补充策略的预测。