Efficient Expression of Functionally Active Aflibercept with Designed N-glycans

Aflibercept is a therapeutic recombinant fusion protein comprising extracellular domains of human vascular endothelial growth factor receptors (VEGFRs) and IgG1-Fc. It is a highly glycosylated protein with five N-glycosylation sites that might impact it structurally and/or functionally. Aflibercept...

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Veröffentlicht in:Antibodies (Basel) 2024-04, Vol.13 (2), p.29
Hauptverfasser: Keshvari, Tahereh, Melnik, Stanislav, Sun, Lin, Niazi, Ali, Aram, Farzaneh, Moghadam, Ali, Kogelmann, Benjamin, Wozniak-Knopp, Gordana, Kallolimath, Somanath, Ramezani, Amin, Steinkellner, Herta
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Sprache:eng
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Zusammenfassung:Aflibercept is a therapeutic recombinant fusion protein comprising extracellular domains of human vascular endothelial growth factor receptors (VEGFRs) and IgG1-Fc. It is a highly glycosylated protein with five N-glycosylation sites that might impact it structurally and/or functionally. Aflibercept is produced in mammalian cells and exhibits large glycan heterogeneity, which hampers glycan-associated investigations. Here, we report the expression of aflibercept in a plant-based system with targeted N-glycosylation profiles. -based glycoengineering resulted in the production of aflibercept variants carrying designed carbohydrates, namely, N-glycans with terminal GlcNAc and sialic acid residues, herein referred to as AFLI and AFLI , respectively. Both variants were transiently expressed in unusually high amounts (2 g/kg fresh leaf material) in leaves and properly assembled to dimers. Mass spectrometric site-specific glycosylation analyses of purified aflibercept showed the presence of two to four glycoforms in a consistent manner. We also demonstrate incomplete occupancy of some glycosites. Both AFLI and AFLI displayed similar binding potency to VEGF , with a tendency of lower binding to variants with increased sialylation. Collectively, we show the expression of functionally active aflibercept in significant amounts with controlled glycosylation. The results provide the basis for further studies in order to generate optimized products in the best-case scenario.
ISSN:2073-4468
2073-4468
DOI:10.3390/antib13020029