bioRxivBiochemistryPreprint
Automated Workflow for Instant Labeling and Real-Time Monitoring of Monoclonal Antibody N-Glycosylation
A. Gyorgypal, O. Potter, A. Chaturvedi, D. N. Powers, S. Chundawat
Abstract
With the transition toward continuous bioprocessing, process analytical technology (PAT) is becoming necessary for rapid and reliable in-process monitoring during biotherapeutics manufacturing. Bioprocess 4.0 is looking to build an end-to-end bioprocesses that includes PAT-enabled real-time process control. This is especially important for drug product quality attributes that can change during bioprocessing, such as protein N-glycosylation, a critical quality attribute for most monoclonal antibody (mAb) therapeutics. Glycosylation of mAbs is known to influence their efficacy as therapeutics and is regulated for a majority of mAb products on the market today. Currently, there is no method to truly measure N-glycosylation using on-line PAT, hence making it impractical to design upstream process control strategies. We recently described the N-GLYcanyzer: an integrated PAT unit that measures mAb N-glycosylation within 3 hours of automated sampling from a bioreactor. Here, we integrated Agilents Instant PC (IPC) based chemistry workflow into the N-GLYcanzyer PAT unit to allow for nearly 10x faster mAb glycoforms analysis. Our methodology is explained in detail to allow for replication of the PAT workflow as well as present a case study demonstrating use of this PAT to autonomously monitor a mammalian cell perfusion process at the bench-scale to gain increased knowledge of mAb glycosylation dynamics during continuous biomanufacturing of biologics using Chinese Hamster Ovary (CHO) cells. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=169 SRC="FIGDIR/small/521623v1_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@16cf139org.highwire.dtl.DTLVardef@150db0borg.highwire.dtl.DTLVardef@15cbe36org.highwire.dtl.DTLVardef@1cbdf6a_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: mouse
- assay: proteomics
- research focus: drug response / drug discovery
- research focus: cell type annotation
- research focus: batch correction / integration
- research focus: trajectory inference
- approach: experimental assay
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