Mass Spectrometry
Online ISSN : 2186-5116
Print ISSN : 2187-137X
ISSN-L : 2186-5116
Original Article
Quantitation of Host Cell Proteins by Capillary LC/IMS/MS/MS in Combination with Rapid Digestion on Immobilized Trypsin Column Under Native Conditions
Ryota TomiokaKosuke OgataYasushi Ishihama
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2024 Volume 13 Issue 1 Pages A0152

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Abstract

Host cell protein (HCP) impurities are considered a critical quality attribute of biopharmaceuticals because of their potential to compromise safety and efficacy, and LC/MS-based analytical methods have been developed to identify and quantify individual proteins instead of employing enzyme-linked immunosorbent assay to assess total HCP levels. Native digestion enables highly sensitive detection of HCPs but requires overnight incubation to generate peptides, limiting the throughput of sample preparation. In this study, we developed an approach employing native digestion on a trypsin-immobilized column to improve the sensitivity and throughput. We examined suitable databases for the identification of HCPs derived from Chinese hamster ovary (CHO) cells and selected RefSeq’s Chinese Hamster as the optimal database. Then, we investigated methods to identify HCPs with greater efficiency than that of denatured in-solution digestion. Native in-column digestion not only reduced the digestion time from overnight to 10 min but also increased the number of quantified HCPs from 154 to 226. In addition to this rapid digestion methodology, we developed high-throughput LC/MS/MS with a monolithic silica column and parallel reaction monitoring-parallel accumulation-serial fragmentation. The optimized system was validated with synthetic peptides derived from high-risk HCPs, confirming excellent linearity, precision, accuracy, and low limit of detection (LOD) and limit of quantification (LOQ) (1–3 ppm). The optimized digestion and analysis method enabled high-throughput quantification of HCPs, and is expected to be useful for quality control and characterization of HCPs in antibody drugs.

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© 2024 Ryota Tomioka, Kosuke Ogata, and Yasushi Ishihama

This article is licensed under a Creative Commons [Attribution-NonCommercial 4.0 International] license.
https://creativecommons.org/licenses/by-nc/4.0/
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