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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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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. |
format | Online Article Text |
id | pubmed-10114992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
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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