Literature DB >> 23872006

An automated robotic platform for rapid profiling oligosaccharide analysis of monoclonal antibodies directly from cell culture.

Margaret Doherty1, Jonathan Bones, Niaobh McLoughlin, Jayne E Telford, Bryan Harmon, Michael R DeFelippis, Pauline M Rudd.   

Abstract

Oligosaccharides attached to Asn297 in each of the CH2 domains of monoclonal antibodies play an important role in antibody effector functions by modulating the affinity of interaction with Fc receptors displayed on cells of the innate immune system. Rapid, detailed, and quantitative N-glycan analysis is required at all stages of bioprocess development to ensure the safety and efficacy of the therapeutic. The high sample numbers generated during quality by design (QbD) and process analytical technology (PAT) create a demand for high-performance, high-throughput analytical technologies for comprehensive oligosaccharide analysis. We have developed an automated 96-well plate-based sample preparation platform for high-throughput N-glycan analysis using a liquid handling robotic system. Complete process automation includes monoclonal antibody (mAb) purification directly from bioreactor media, glycan release, fluorescent labeling, purification, and subsequent ultra-performance liquid chromatography (UPLC) analysis. The entire sample preparation and commencement of analysis is achieved within a 5-h timeframe. The automated sample preparation platform can easily be interfaced with other downstream analytical technologies, including mass spectrometry (MS) and capillary electrophoresis (CE), for rapid characterization of oligosaccharides present on therapeutic antibodies.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Automation; Cell culture media; Glycomics; Monoclonal antibodies; Oligosaccharides; Ultra-performance liquid chromatography

Mesh:

Substances:

Year:  2013        PMID: 23872006     DOI: 10.1016/j.ab.2013.07.005

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  8 in total

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  8 in total

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