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Mass spectrometry-based multi-attribute method in protein therapeutics product quality monitoring and quality control

The multi-attribute method (MAM), a liquid chromatography-mass spectrometry (LC-MS)-based peptide mapping method, has gained increased interest and applications in the biopharmaceutical industry. MAM can, in one method, provide targeted quantitation of multiple site-specific product quality attribut...

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Autores principales: Yang, Feng, Zhang, Jennifer, Buettner, Alexander, Vosika, Eva, Sadek, Monica, Hao, Zhiqi, Reusch, Dietmar, Koenig, Maximiliane, Chan, Wayman, Bathke, Anja, Pallat, Hilary, Lundin, Victor, Kepert, Jochen Felix, Bulau, Patrick, Deperalta, Galahad, Yu, Christopher, Beardsley, Richard, Camilli, Tura, Harris, Reed, Stults, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10114992/
https://www.ncbi.nlm.nih.gov/pubmed/37057828
http://dx.doi.org/10.1080/19420862.2023.2197668
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author Yang, Feng
Zhang, Jennifer
Buettner, Alexander
Vosika, Eva
Sadek, Monica
Hao, Zhiqi
Reusch, Dietmar
Koenig, Maximiliane
Chan, Wayman
Bathke, Anja
Pallat, Hilary
Lundin, Victor
Kepert, Jochen Felix
Bulau, Patrick
Deperalta, Galahad
Yu, Christopher
Beardsley, Richard
Camilli, Tura
Harris, Reed
Stults, John
author_facet Yang, Feng
Zhang, Jennifer
Buettner, Alexander
Vosika, Eva
Sadek, Monica
Hao, Zhiqi
Reusch, Dietmar
Koenig, Maximiliane
Chan, Wayman
Bathke, Anja
Pallat, Hilary
Lundin, Victor
Kepert, Jochen Felix
Bulau, Patrick
Deperalta, Galahad
Yu, Christopher
Beardsley, Richard
Camilli, Tura
Harris, Reed
Stults, John
author_sort Yang, Feng
collection PubMed
description The multi-attribute method (MAM), a liquid chromatography-mass spectrometry (LC-MS)-based peptide mapping method, has gained increased interest and applications in the biopharmaceutical industry. MAM can, in one method, provide targeted quantitation of multiple site-specific product quality attributes, as well as new peak detection. In this review, we focus on the scientific and regulatory considerations of using MAM in product quality attribute monitoring and quality control (QC) of therapeutic proteins. We highlight MAM implementation challenges and solutions with several case studies, and provide our perspective on the opportunities to use MS in QC for applications other than standard peptide mapping-based MAM.
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spelling pubmed-101149922023-04-20 Mass spectrometry-based multi-attribute method in protein therapeutics product quality monitoring and quality control Yang, Feng Zhang, Jennifer Buettner, Alexander Vosika, Eva Sadek, Monica Hao, Zhiqi Reusch, Dietmar Koenig, Maximiliane Chan, Wayman Bathke, Anja Pallat, Hilary Lundin, Victor Kepert, Jochen Felix Bulau, Patrick Deperalta, Galahad Yu, Christopher Beardsley, Richard Camilli, Tura Harris, Reed Stults, John MAbs Review The multi-attribute method (MAM), a liquid chromatography-mass spectrometry (LC-MS)-based peptide mapping method, has gained increased interest and applications in the biopharmaceutical industry. MAM can, in one method, provide targeted quantitation of multiple site-specific product quality attributes, as well as new peak detection. In this review, we focus on the scientific and regulatory considerations of using MAM in product quality attribute monitoring and quality control (QC) of therapeutic proteins. We highlight MAM implementation challenges and solutions with several case studies, and provide our perspective on the opportunities to use MS in QC for applications other than standard peptide mapping-based MAM. Taylor & Francis 2023-04-14 /pmc/articles/PMC10114992/ /pubmed/37057828 http://dx.doi.org/10.1080/19420862.2023.2197668 Text en © 2023 Genentech, A Member of the Roche Group, South San Francisco, CA 94080, USA. Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
spellingShingle Review
Yang, Feng
Zhang, Jennifer
Buettner, Alexander
Vosika, Eva
Sadek, Monica
Hao, Zhiqi
Reusch, Dietmar
Koenig, Maximiliane
Chan, Wayman
Bathke, Anja
Pallat, Hilary
Lundin, Victor
Kepert, Jochen Felix
Bulau, Patrick
Deperalta, Galahad
Yu, Christopher
Beardsley, Richard
Camilli, Tura
Harris, Reed
Stults, John
Mass spectrometry-based multi-attribute method in protein therapeutics product quality monitoring and quality control
title Mass spectrometry-based multi-attribute method in protein therapeutics product quality monitoring and quality control
title_full Mass spectrometry-based multi-attribute method in protein therapeutics product quality monitoring and quality control
title_fullStr Mass spectrometry-based multi-attribute method in protein therapeutics product quality monitoring and quality control
title_full_unstemmed Mass spectrometry-based multi-attribute method in protein therapeutics product quality monitoring and quality control
title_short Mass spectrometry-based multi-attribute method in protein therapeutics product quality monitoring and quality control
title_sort mass spectrometry-based multi-attribute method in protein therapeutics product quality monitoring and quality control
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10114992/
https://www.ncbi.nlm.nih.gov/pubmed/37057828
http://dx.doi.org/10.1080/19420862.2023.2197668
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