A Novel, Site‐Specific N‐Linked Glycosylation Model Provides Mechanistic Insights Into the Process‐Condition Dependent Distinct Fab and Fc Glycosylation of an IgG1 Monoclonal Antibody Produced by CHO VRC01 Cells

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<sub>2</sub> 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.

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Publication Details

Journal
Biotechnology and Bioengineering
Published
2024-12-30
DOI
https://doi.org/10.1002/bit.28916
Citations
4
Primary Topic
Glycosylation and Glycoproteins Research
Type
article
Field-Weighted Citation Impact
0.94
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article

A Novel, Site‐Specific N‐Linked Glycosylation Model Provides Mechanistic Insights Into the Process‐Condition Dependent Distinct Fab and Fc Glycosylation of an IgG1 Monoclonal Antibody Produced by CHO VRC01 Cells

Sumit Kumar Singh, Eleftherios T. Papoutsakis, Kelvin H. Lee, Marianthi Ierapetritou et al.
4 citations
Biotechnology and Bioengineering
Glycosylation and Glycoproteins Research
0.94
article

A Novel, Site‐Specific N‐Linked Glycosylation Model Provides Mechanistic Insights Into the Process‐Condition Dependent Distinct Fab and Fc Glycosylation of an IgG1 Monoclonal Antibody Produced by CHO VRC01 Cells

Sumit Kumar Singh, Eleftherios T. Papoutsakis, Kelvin H. Lee, Marianthi Ierapetritou, Jayanth Venkatarama Reddy, Thomas Leibiger
article en
4 citations

Abstract

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<sub>2</sub> 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.

Biotechnology and BioengineeringVol. 122(4)
Biotechnology Institute (US), University of Delaware (US), Banaras Hindu University (IN)
Clean water and sanitation
Openalex Percentile: Top 24%
Glycosylation and Glycoproteins Research
0.94
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