Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/182734
Title: SWATH-MS as a strategy for CHO host cell protein identification and quantification supporting the characterization of mAb purification platforms
Author: Carvalho, Sofia B.
Profit, Ludivine
Krishnan, Sushmitha
Gomes, Ricardo A.
Alexandre, Bruno M.
Clavier, Severine
Hoffman, Michael
Brower, Kevin
Gomes-Alves, Patrícia
Keywords: Bioprocess development
CHO HCP identification
high throughput HCP quantification
mAbs
Purification platform
SWATH-MS
Biotechnology
Bioengineering
Applied Microbiology and Biotechnology
Issue Date: 20-Mar-2024
Abstract: Host cell proteins (HCPs) are process-related impurities expressed by the host cells during biotherapeutics’ manufacturing, such as monoclonal antibodies (mAbs). Some challenging HCPs evade clearance during the downstream processing and can be co-purified with the molecule of interest, which may impact product stability, efficacy, and safety. Therefore, HCP content is a critical quality attribute to monitor and quantify across the bioprocess. Here we explored a mass spectrometry (MS)-based proteomics tool, the sequential window acquisition of all theoretical fragment-ion spectra (SWATH) strategy, as an orthogonal method to traditional ELISA. The SWATH workflow was applied for high-throughput individual HCP identification and quantification, supporting characterization of a mAb purification platform. The design space of HCP clearance of two polishing resins was evaluated through a design of experiment study. Absolute quantification of high-risk HCPs was achieved (reaching 1.8 and 4.2 ppm limits of quantification, for HCP A and B respectively) using HCP-specific synthetic heavy labeled peptide calibration curves. Profiling of other HCPs was also possible using an average calibration curve (using labeled peptides from different HCPs). The SWATH approach is a powerful tool for HCP assessment during bioprocess development enabling simultaneous monitoring and quantification of different individual HCPs and improving process understanding of their clearance.
Description: Funding Information: This work was supported by Sanofi. Funding Information: Authors acknowledge the support from the UniMS team, all MS data were generated by the UniMS–Mass Spectrometry Unit, iBET/ITQB, Oeiras, Portugal. The authors also acknowledge Miguel Antunes and Inês Isidro from iBET Data Science team for their contribution to data analysis. The authors acknowledge the experimental work from Emmanuel Fofie, Céline Hemet and Didier Duthé from Sanofi on chromatographic runs. The authors are grateful to Jason Walther for revising the manuscript and English proofreading. Publisher Copyright: © 2024 The Authors
Peer review: yes
URI: http://hdl.handle.net/10362/182734
DOI: https://doi.org/10.1016/j.jbiotec.2024.02.001
ISSN: 0168-1656
Appears in Collections:Home collection (ITQB)

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