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Comparing different domains of analysis for the characterisation of N-glycans on monoclonal antibodies
With the size of the biopharmaceutical market exponentially increasing, there is an aligned growth in the importance of data-rich analyses, not only to assess drug product safety but also to assist drug development driven by the deeper understanding of structure/function relationships. In monoclonal...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Xi'an Jiaotong University
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037591/ https://www.ncbi.nlm.nih.gov/pubmed/32123597 http://dx.doi.org/10.1016/j.jpha.2019.11.008 |
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author | Carillo, Sara Pérez-Robles, Raquel Jakes, Craig Ribeiro da Silva, Meire Millán Martín, Silvia Farrell, Amy Navas, Natalia Bones, Jonathan |
author_facet | Carillo, Sara Pérez-Robles, Raquel Jakes, Craig Ribeiro da Silva, Meire Millán Martín, Silvia Farrell, Amy Navas, Natalia Bones, Jonathan |
author_sort | Carillo, Sara |
collection | PubMed |
description | With the size of the biopharmaceutical market exponentially increasing, there is an aligned growth in the importance of data-rich analyses, not only to assess drug product safety but also to assist drug development driven by the deeper understanding of structure/function relationships. In monoclonal antibodies, many functions are regulated by N-glycans present in the constant region of the heavy chains and their mechanisms of action are not completely known. The importance of their function focuses analytical research efforts on the development of robust, accurate and fast methods to support drug development and quality control. Released N-glycan analysis is considered as the gold standard for glycosylation characterisation; however, it is not the only method for quantitative analysis of glycoform heterogeneity. In this study, ten different analytical workflows for N-glycan analysis were compared using four monoclonal antibodies. While observing good comparability between the quantitative results generated, it was possible to appreciate the advantages and disadvantages of each technique and to summarise all the observations to guide the choice of the most appropriate analytical workflow according to application and the desired depth of data generated. |
format | Online Article Text |
id | pubmed-7037591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Xi'an Jiaotong University |
record_format | MEDLINE/PubMed |
spelling | pubmed-70375912020-03-02 Comparing different domains of analysis for the characterisation of N-glycans on monoclonal antibodies Carillo, Sara Pérez-Robles, Raquel Jakes, Craig Ribeiro da Silva, Meire Millán Martín, Silvia Farrell, Amy Navas, Natalia Bones, Jonathan J Pharm Anal Article With the size of the biopharmaceutical market exponentially increasing, there is an aligned growth in the importance of data-rich analyses, not only to assess drug product safety but also to assist drug development driven by the deeper understanding of structure/function relationships. In monoclonal antibodies, many functions are regulated by N-glycans present in the constant region of the heavy chains and their mechanisms of action are not completely known. The importance of their function focuses analytical research efforts on the development of robust, accurate and fast methods to support drug development and quality control. Released N-glycan analysis is considered as the gold standard for glycosylation characterisation; however, it is not the only method for quantitative analysis of glycoform heterogeneity. In this study, ten different analytical workflows for N-glycan analysis were compared using four monoclonal antibodies. While observing good comparability between the quantitative results generated, it was possible to appreciate the advantages and disadvantages of each technique and to summarise all the observations to guide the choice of the most appropriate analytical workflow according to application and the desired depth of data generated. Xi'an Jiaotong University 2020-02 2019-11-29 /pmc/articles/PMC7037591/ /pubmed/32123597 http://dx.doi.org/10.1016/j.jpha.2019.11.008 Text en © 2019 Xi'an Jiaotong University. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Carillo, Sara Pérez-Robles, Raquel Jakes, Craig Ribeiro da Silva, Meire Millán Martín, Silvia Farrell, Amy Navas, Natalia Bones, Jonathan Comparing different domains of analysis for the characterisation of N-glycans on monoclonal antibodies |
title | Comparing different domains of analysis for the characterisation of N-glycans on monoclonal antibodies |
title_full | Comparing different domains of analysis for the characterisation of N-glycans on monoclonal antibodies |
title_fullStr | Comparing different domains of analysis for the characterisation of N-glycans on monoclonal antibodies |
title_full_unstemmed | Comparing different domains of analysis for the characterisation of N-glycans on monoclonal antibodies |
title_short | Comparing different domains of analysis for the characterisation of N-glycans on monoclonal antibodies |
title_sort | comparing different domains of analysis for the characterisation of n-glycans on monoclonal antibodies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037591/ https://www.ncbi.nlm.nih.gov/pubmed/32123597 http://dx.doi.org/10.1016/j.jpha.2019.11.008 |
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