Adaptive Process Control and Advanced Sensing for Robust mAb Glycan Quality

The goal of this project is to implement enhanced glycan sensors with control algorithms to produce consistent, desirable glycosylation patterns to improve product quality of biotherapeutics.
Categories
Proteins/ Antibodies
Drug substance
Assays
Process control
Project status
100% Completed

Industry Need

Implement enhanced glycan sensors with control algorithms to produce consistent, desirable glycosylation patterns to improve product quality of biotherapeutics.

Solution

A bioprocess performance platform producing near real-time control of critical glycan attributes will be ready for pilot scale implementation.

Outputs/Deliverables

We have developed sensor detection interfaces that can interrogate antibody titer and glycosylation, respectively, through the transduction of an electrochemical output. These

interfaces make use of a novel PEG thiol-mediated assembly methodology and are rapidly electroassembled onto sensor electrodes. For titer detection interface, we have developed a

cysteine-tagged protein G antibody recognition protein, that when linked the thiolated PEG interface, enables rapid, robust assessment of total antibody concentration. For glycosylation

detection, instead of assembling the cysteinylated protein G, thiolated sugar groups occupy many of the open thiol-PEG binding sites so that the sugar groups act as a lectin bait. Then, sugar-specific lectins are layered on top of the thiolated PEG hydrogel. These surfaces then provide selective capture of antibodies based on the traditional lectin-glycan binding. Further, when both interfaces are coupled with an electrochemical reporter, these interfaces enable near real time electrochemical outputs.

Impacts

Improved process efficiency and reduced batch-to-batch variability

Publications

Motabar, D., Li, J., Wang, S., Tsao, C., Tong, X., Wang, L., Payne, G. F., & Bentley, W. E. (2021). Simple, rapidly electroassembled thiolated PEG-based sensor interfaces enable rapid interrogation of antibody titer and glycosylation. Biotechnology and Bioengineering, 118(7), 2744-2758. https://doi.org/10.1002/bit.27793

Luo, Y., Lovelett, R. J., Price, J. V., Radhakrishnan, D., Barnthouse, K., Hu, P., Schaefer, E., Cunningham, J., Lee, K. H., Shivappa, R. B., & Ogunnaike, B. A. (2020). Modeling the Effect of Amino Acids and Copper on Monoclonal Antibody Productivity and Glycosylation: A Modular Approach. Biotechnology Journal, 16(2). https://doi.org/10.1002/biot.202000261

Wells, E., Song, L., Greer, M., Luo, Y., Kurian, V., Ogunnaike, B., & Robinson, A. S. (2020). Media supplementation for targeted manipulation of monoclonal antibody galactosylation and fucosylation. Biotechnology and Bioengineering, 117(11), 3310-3321. https://doi.org/10.1002/bit.27496

Li, J., Maniar, D., Qu, X., Liu, H., Tsao, C., Kim, E., Bentley, W. E., Liu, C., & Payne, G. F. (2019). Coupling Self-Assembly Mechanisms to Fabricate Molecularly and Electrically Responsive Films. Biomacromolecules, 20(2), 969-978. https://doi.org/10.1021/acs.biomac.8b01592

Mao, L., Schneider, J. W., & Robinson, A. S. (2023). Use of single analytic tool to quantify both absolute N-glycosylation and glycan distribution in monoclonal antibodies. Biotechnology Progress, 39(5). https://doi.org/10.1002/btpr.3365

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Project Lead

Carnegie Mellon University

Carnegie Mellon University

Participating Organizations

Johns Hopkins University

Johns Hopkins University

Tulane University

Tulane University

University of Delaware

University of Delaware

University of Maryland College Park

University of Maryland College Park