Rapid antibody glycoengineering in Chinese hamster ovary cells.
Author(s)
Type
Journal Article
Abstract
Recombinant monoclonal antibodies bind specific molecular targets and, subsequently, induce an immune response or inhibit the binding of other ligands. However, monoclonal antibody functionality and half-life may be reduced by the type and distribution of host-specific glycosylation. Attempts to produce superior antibodies have inspired the development of genetically modified producer cells that synthesize glyco-optimized antibodies. Glycoengineering typically requires the generation of a stable knockout or knockin cell line using methods such as clustered regularly interspaced short palindromic repeats (CRISPR)-associated protein 9. Monoclonal antibodies produced by engineered cells are then characterized using mass spectrometric methods to determine if the desired glycoprofile has been obtained. This strategy is time-consuming, technically challenging, and requires specialists. Therefore, an alternative strategy that utilizes streamlined protocols for genetic glycoengineering and glycan detection may assist endeavors toward optimal antibodies. In this proof-of-concept study, an IgG-producing Chinese hamster ovary cell served as an ideal host to optimize glycoengineering. Short interfering RNA targeting the Fut8 gene was delivered to Chinese hamster ovary cells, and the resulting changes in FUT8 protein expression were quantified. The results indicate that knockdown by this method was efficient, leading to a ~60% reduction in FUT8. Complementary analysis of the antibody glycoprofile was performed using a rapid yet highly sensitive technique: capillary gel electrophoresis and laser-induced fluorescence detection. All knockdown experiments showed an increase in afucosylated glycans; however, the greatest shift achieved in this study was ~20%. This protocol simplifies glycoengineering efforts by harnessing in silico design tools, commercially synthesized gene targeting reagents, and rapid quantification assays that do not require extensive prior experience. As such, the time efficiencies offered by this protocol may assist investigations into new gene targets.
Date Issued
2022-06-02
Date Acceptance
2022-06-01
Citation
Journal of Visualized Experiments, 2022, 184 (184), pp.1-19
ISSN
1940-087X
Publisher
MyJove Corporation
Start Page
1
End Page
19
Journal / Book Title
Journal of Visualized Experiments
Volume
184
Issue
184
Copyright Statement
© 2022 JoVE Creative Commons Attribution 3.0 License
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/35723478
Subjects
0601 Biochemistry and Cell Biology
1701 Psychology
1702 Cognitive Sciences
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2022-06-02