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Detection and quantitation of host cell proteins in monoclonal antibody drug products using automated sample preparation and data-independent acquisition LC-MS/MS

Ensuring the removal of host cell proteins (HCPs) during downstream processing of recombinant proteins such as monoclonal antibodies (mAbs) remains a challenge. Since residual HCPs might affect product stability or safety, constant monitoring is required to demonstrate their removal to be below the...

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Autores principales: Strasser, Lisa, Oliviero, Giorgio, Jakes, Craig, Zaborowska, Izabela, Floris, Patrick, Ribeiro da Silva, Meire, Füssl, Florian, Carillo, Sara, Bones, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Xi'an Jiaotong University 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740166/
https://www.ncbi.nlm.nih.gov/pubmed/35028177
http://dx.doi.org/10.1016/j.jpha.2021.05.002
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author Strasser, Lisa
Oliviero, Giorgio
Jakes, Craig
Zaborowska, Izabela
Floris, Patrick
Ribeiro da Silva, Meire
Füssl, Florian
Carillo, Sara
Bones, Jonathan
author_facet Strasser, Lisa
Oliviero, Giorgio
Jakes, Craig
Zaborowska, Izabela
Floris, Patrick
Ribeiro da Silva, Meire
Füssl, Florian
Carillo, Sara
Bones, Jonathan
author_sort Strasser, Lisa
collection PubMed
description Ensuring the removal of host cell proteins (HCPs) during downstream processing of recombinant proteins such as monoclonal antibodies (mAbs) remains a challenge. Since residual HCPs might affect product stability or safety, constant monitoring is required to demonstrate their removal to be below the regulatory accepted level of 100 ng/mg. The current standard analytical approach for this procedure is based on ELISA; however, this approach only measures the overall HCP content. Therefore, the use of orthogonal methods, such as liquid chromatography-mass spectrometry (LC-MS), has been established, as it facilitates the quantitation of total HCPs as well as the identification and quantitation of the individual HCPs present. In the present study, a workflow for HCP detection and quantitation using an automated magnetic bead-based sample preparation, in combination with a data-independent acquisition (DIA) LC-MS analysis, was established. Employing the same instrumental setup commonly used for peptide mapping analysis of mAbs allows for its quick and easy implementation into pre-existing workflows, avoiding the need for dedicated instrumentation or personnel. Thereby, quantitation of HCPs over a broad dynamic range was enabled to allow monitoring of problematic HCPs or to track changes upon altered bioprocessing conditions.
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spelling pubmed-87401662022-01-12 Detection and quantitation of host cell proteins in monoclonal antibody drug products using automated sample preparation and data-independent acquisition LC-MS/MS Strasser, Lisa Oliviero, Giorgio Jakes, Craig Zaborowska, Izabela Floris, Patrick Ribeiro da Silva, Meire Füssl, Florian Carillo, Sara Bones, Jonathan J Pharm Anal Original Article Ensuring the removal of host cell proteins (HCPs) during downstream processing of recombinant proteins such as monoclonal antibodies (mAbs) remains a challenge. Since residual HCPs might affect product stability or safety, constant monitoring is required to demonstrate their removal to be below the regulatory accepted level of 100 ng/mg. The current standard analytical approach for this procedure is based on ELISA; however, this approach only measures the overall HCP content. Therefore, the use of orthogonal methods, such as liquid chromatography-mass spectrometry (LC-MS), has been established, as it facilitates the quantitation of total HCPs as well as the identification and quantitation of the individual HCPs present. In the present study, a workflow for HCP detection and quantitation using an automated magnetic bead-based sample preparation, in combination with a data-independent acquisition (DIA) LC-MS analysis, was established. Employing the same instrumental setup commonly used for peptide mapping analysis of mAbs allows for its quick and easy implementation into pre-existing workflows, avoiding the need for dedicated instrumentation or personnel. Thereby, quantitation of HCPs over a broad dynamic range was enabled to allow monitoring of problematic HCPs or to track changes upon altered bioprocessing conditions. Xi'an Jiaotong University 2021-12 2021-05-20 /pmc/articles/PMC8740166/ /pubmed/35028177 http://dx.doi.org/10.1016/j.jpha.2021.05.002 Text en © 2021 Xi'an Jiaotong University. Production and hosting by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Article
Strasser, Lisa
Oliviero, Giorgio
Jakes, Craig
Zaborowska, Izabela
Floris, Patrick
Ribeiro da Silva, Meire
Füssl, Florian
Carillo, Sara
Bones, Jonathan
Detection and quantitation of host cell proteins in monoclonal antibody drug products using automated sample preparation and data-independent acquisition LC-MS/MS
title Detection and quantitation of host cell proteins in monoclonal antibody drug products using automated sample preparation and data-independent acquisition LC-MS/MS
title_full Detection and quantitation of host cell proteins in monoclonal antibody drug products using automated sample preparation and data-independent acquisition LC-MS/MS
title_fullStr Detection and quantitation of host cell proteins in monoclonal antibody drug products using automated sample preparation and data-independent acquisition LC-MS/MS
title_full_unstemmed Detection and quantitation of host cell proteins in monoclonal antibody drug products using automated sample preparation and data-independent acquisition LC-MS/MS
title_short Detection and quantitation of host cell proteins in monoclonal antibody drug products using automated sample preparation and data-independent acquisition LC-MS/MS
title_sort detection and quantitation of host cell proteins in monoclonal antibody drug products using automated sample preparation and data-independent acquisition lc-ms/ms
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740166/
https://www.ncbi.nlm.nih.gov/pubmed/35028177
http://dx.doi.org/10.1016/j.jpha.2021.05.002
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