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Immunoglobulin G Glycoprofiles are Unaffected by Common Bottom-Up Sample Processing
[Image: see text] Immunoglobulin G (IgG) glycosylation is a key post-translational modification in regulating IgG function. It is therefore a prominent target for biomarker discovery and a critical quality attribute of antibody-based biopharmaceuticals. A common approach for IgG glycosylation analys...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539295/ https://www.ncbi.nlm.nih.gov/pubmed/32945168 http://dx.doi.org/10.1021/acs.jproteome.0c00656 |
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author | Amez-Martín, Manuela Wuhrer, Manfred Falck, David |
author_facet | Amez-Martín, Manuela Wuhrer, Manfred Falck, David |
author_sort | Amez-Martín, Manuela |
collection | PubMed |
description | [Image: see text] Immunoglobulin G (IgG) glycosylation is a key post-translational modification in regulating IgG function. It is therefore a prominent target for biomarker discovery and a critical quality attribute of antibody-based biopharmaceuticals. A common approach for IgG glycosylation analysis is the measurement of tryptic glycopeptides. Glycosylation stability during sample processing is a key prerequisite for an accurate and robust analysis yet has hitherto hardly been studied. Especially, acid hydrolysis of sialic acids may be a source for instability. Therefore, we investigated acid denaturation, centrifugal vacuum concentration, and glycopeptide storage regarding changes in the IgG glycosylation profile. Intravenous IgG was analyzed employing imaginable deviations from a reference method and stress conditions. All glycosylation features —sialylation, galactosylation, bisection, and fucosylation—remained unchanged for most conditions. Only with prolonged exposure to acidic conditions at 37 °C, sialylation decreased significantly and subtle changes occurred for galactosylation. Consequently, provided that long or intense heating in acidic solutions is avoided, sample preparation for bottom-up glycoproteomics does not introduce conceivable biases. |
format | Online Article Text |
id | pubmed-7539295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-75392952020-10-07 Immunoglobulin G Glycoprofiles are Unaffected by Common Bottom-Up Sample Processing Amez-Martín, Manuela Wuhrer, Manfred Falck, David J Proteome Res [Image: see text] Immunoglobulin G (IgG) glycosylation is a key post-translational modification in regulating IgG function. It is therefore a prominent target for biomarker discovery and a critical quality attribute of antibody-based biopharmaceuticals. A common approach for IgG glycosylation analysis is the measurement of tryptic glycopeptides. Glycosylation stability during sample processing is a key prerequisite for an accurate and robust analysis yet has hitherto hardly been studied. Especially, acid hydrolysis of sialic acids may be a source for instability. Therefore, we investigated acid denaturation, centrifugal vacuum concentration, and glycopeptide storage regarding changes in the IgG glycosylation profile. Intravenous IgG was analyzed employing imaginable deviations from a reference method and stress conditions. All glycosylation features —sialylation, galactosylation, bisection, and fucosylation—remained unchanged for most conditions. Only with prolonged exposure to acidic conditions at 37 °C, sialylation decreased significantly and subtle changes occurred for galactosylation. Consequently, provided that long or intense heating in acidic solutions is avoided, sample preparation for bottom-up glycoproteomics does not introduce conceivable biases. American Chemical Society 2020-09-18 2020-10-02 /pmc/articles/PMC7539295/ /pubmed/32945168 http://dx.doi.org/10.1021/acs.jproteome.0c00656 Text en This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes. |
spellingShingle | Amez-Martín, Manuela Wuhrer, Manfred Falck, David Immunoglobulin G Glycoprofiles are Unaffected by Common Bottom-Up Sample Processing |
title | Immunoglobulin
G Glycoprofiles are Unaffected by Common
Bottom-Up Sample Processing |
title_full | Immunoglobulin
G Glycoprofiles are Unaffected by Common
Bottom-Up Sample Processing |
title_fullStr | Immunoglobulin
G Glycoprofiles are Unaffected by Common
Bottom-Up Sample Processing |
title_full_unstemmed | Immunoglobulin
G Glycoprofiles are Unaffected by Common
Bottom-Up Sample Processing |
title_short | Immunoglobulin
G Glycoprofiles are Unaffected by Common
Bottom-Up Sample Processing |
title_sort | immunoglobulin
g glycoprofiles are unaffected by common
bottom-up sample processing |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539295/ https://www.ncbi.nlm.nih.gov/pubmed/32945168 http://dx.doi.org/10.1021/acs.jproteome.0c00656 |
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