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An Integrated Strategy Reveals Complex Glycosylation of Erythropoietin Using Mass Spectrometry
[Image: see text] The characterization of therapeutic glycoproteins is challenging due to the structural heterogeneity of the therapeutic protein glycosylation. This study presents an in-depth analytical strategy for glycosylation of first-generation erythropoietin (epoetin beta), including a develo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472269/ https://www.ncbi.nlm.nih.gov/pubmed/34110173 http://dx.doi.org/10.1021/acs.jproteome.1c00221 |
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author | Guan, Yudong Zhang, Min Gaikwad, Manasi Voss, Hannah Fazel, Ramin Ansari, Samira Shen, Huali Wang, Jigang Schlüter, Hartmut |
author_facet | Guan, Yudong Zhang, Min Gaikwad, Manasi Voss, Hannah Fazel, Ramin Ansari, Samira Shen, Huali Wang, Jigang Schlüter, Hartmut |
author_sort | Guan, Yudong |
collection | PubMed |
description | [Image: see text] The characterization of therapeutic glycoproteins is challenging due to the structural heterogeneity of the therapeutic protein glycosylation. This study presents an in-depth analytical strategy for glycosylation of first-generation erythropoietin (epoetin beta), including a developed mass spectrometric workflow for N-glycan analysis, bottom-up mass spectrometric methods for site-specific N-glycosylation, and a LC-MS approach for O-glycan identification. Permethylated N-glycans, peptides, and enriched glycopeptides of erythropoietin were analyzed by nanoLC-MS/MS, and de-N-glycosylated erythropoietin was measured by LC-MS, enabling the qualitative and quantitative analysis of glycosylation and different glycan modifications (e.g., phosphorylation and O-acetylation). The newly developed Python scripts enabled the identification of 140 N-glycan compositions (237 N-glycan structures) from erythropoietin, especially including 8 phosphorylated N-glycan species. The site-specificity of N-glycans was revealed at the glycopeptide level by pGlyco software using different proteases. In total, 114 N-glycan compositions were identified from glycopeptide analysis. Moreover, LC-MS analysis of de-N-glycosylated erythropoietin species identified two O-glycan compositions based on the mass shifts between non-O-glycosylated and O-glycosylated species. Finally, this integrated strategy was proved to realize the in-depth glycosylation analysis of a therapeutic glycoprotein to understand its pharmacological properties and improving the manufacturing processes. |
format | Online Article Text |
id | pubmed-9472269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-94722692022-09-15 An Integrated Strategy Reveals Complex Glycosylation of Erythropoietin Using Mass Spectrometry Guan, Yudong Zhang, Min Gaikwad, Manasi Voss, Hannah Fazel, Ramin Ansari, Samira Shen, Huali Wang, Jigang Schlüter, Hartmut J Proteome Res [Image: see text] The characterization of therapeutic glycoproteins is challenging due to the structural heterogeneity of the therapeutic protein glycosylation. This study presents an in-depth analytical strategy for glycosylation of first-generation erythropoietin (epoetin beta), including a developed mass spectrometric workflow for N-glycan analysis, bottom-up mass spectrometric methods for site-specific N-glycosylation, and a LC-MS approach for O-glycan identification. Permethylated N-glycans, peptides, and enriched glycopeptides of erythropoietin were analyzed by nanoLC-MS/MS, and de-N-glycosylated erythropoietin was measured by LC-MS, enabling the qualitative and quantitative analysis of glycosylation and different glycan modifications (e.g., phosphorylation and O-acetylation). The newly developed Python scripts enabled the identification of 140 N-glycan compositions (237 N-glycan structures) from erythropoietin, especially including 8 phosphorylated N-glycan species. The site-specificity of N-glycans was revealed at the glycopeptide level by pGlyco software using different proteases. In total, 114 N-glycan compositions were identified from glycopeptide analysis. Moreover, LC-MS analysis of de-N-glycosylated erythropoietin species identified two O-glycan compositions based on the mass shifts between non-O-glycosylated and O-glycosylated species. Finally, this integrated strategy was proved to realize the in-depth glycosylation analysis of a therapeutic glycoprotein to understand its pharmacological properties and improving the manufacturing processes. American Chemical Society 2021-06-10 2021-07-02 /pmc/articles/PMC9472269/ /pubmed/34110173 http://dx.doi.org/10.1021/acs.jproteome.1c00221 Text en © 2021 American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Guan, Yudong Zhang, Min Gaikwad, Manasi Voss, Hannah Fazel, Ramin Ansari, Samira Shen, Huali Wang, Jigang Schlüter, Hartmut An Integrated Strategy Reveals Complex Glycosylation of Erythropoietin Using Mass Spectrometry |
title | An Integrated Strategy Reveals Complex Glycosylation
of Erythropoietin Using Mass Spectrometry |
title_full | An Integrated Strategy Reveals Complex Glycosylation
of Erythropoietin Using Mass Spectrometry |
title_fullStr | An Integrated Strategy Reveals Complex Glycosylation
of Erythropoietin Using Mass Spectrometry |
title_full_unstemmed | An Integrated Strategy Reveals Complex Glycosylation
of Erythropoietin Using Mass Spectrometry |
title_short | An Integrated Strategy Reveals Complex Glycosylation
of Erythropoietin Using Mass Spectrometry |
title_sort | integrated strategy reveals complex glycosylation
of erythropoietin using mass spectrometry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472269/ https://www.ncbi.nlm.nih.gov/pubmed/34110173 http://dx.doi.org/10.1021/acs.jproteome.1c00221 |
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