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Strategies for Proteome-Wide Quantification of Glycosylation Macro- and Micro-Heterogeneity
Protein glycosylation governs key physiological and pathological processes in human cells. Aberrant glycosylation is thus closely associated with disease progression. Mass spectrometry (MS)-based glycoproteomics has emerged as an indispensable tool for investigating glycosylation changes in biologic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835892/ https://www.ncbi.nlm.nih.gov/pubmed/35163546 http://dx.doi.org/10.3390/ijms23031609 |
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author | Fang, Pan Ji, Yanlong Oellerich, Thomas Urlaub, Henning Pan, Kuan-Ting |
author_facet | Fang, Pan Ji, Yanlong Oellerich, Thomas Urlaub, Henning Pan, Kuan-Ting |
author_sort | Fang, Pan |
collection | PubMed |
description | Protein glycosylation governs key physiological and pathological processes in human cells. Aberrant glycosylation is thus closely associated with disease progression. Mass spectrometry (MS)-based glycoproteomics has emerged as an indispensable tool for investigating glycosylation changes in biological samples with high sensitivity. Following rapid improvements in methodologies for reliable intact glycopeptide identification, site-specific quantification of glycopeptide macro- and micro-heterogeneity at the proteome scale has become an urgent need for exploring glycosylation regulations. Here, we summarize recent advances in N- and O-linked glycoproteomic quantification strategies and discuss their limitations. We further describe a strategy to propagate MS data for multilayered glycopeptide quantification, enabling a more comprehensive examination of global and site-specific glycosylation changes. Altogether, we show how quantitative glycoproteomics methods explore glycosylation regulation in human diseases and promote the discovery of biomarkers and therapeutic targets. |
format | Online Article Text |
id | pubmed-8835892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88358922022-02-12 Strategies for Proteome-Wide Quantification of Glycosylation Macro- and Micro-Heterogeneity Fang, Pan Ji, Yanlong Oellerich, Thomas Urlaub, Henning Pan, Kuan-Ting Int J Mol Sci Review Protein glycosylation governs key physiological and pathological processes in human cells. Aberrant glycosylation is thus closely associated with disease progression. Mass spectrometry (MS)-based glycoproteomics has emerged as an indispensable tool for investigating glycosylation changes in biological samples with high sensitivity. Following rapid improvements in methodologies for reliable intact glycopeptide identification, site-specific quantification of glycopeptide macro- and micro-heterogeneity at the proteome scale has become an urgent need for exploring glycosylation regulations. Here, we summarize recent advances in N- and O-linked glycoproteomic quantification strategies and discuss their limitations. We further describe a strategy to propagate MS data for multilayered glycopeptide quantification, enabling a more comprehensive examination of global and site-specific glycosylation changes. Altogether, we show how quantitative glycoproteomics methods explore glycosylation regulation in human diseases and promote the discovery of biomarkers and therapeutic targets. MDPI 2022-01-30 /pmc/articles/PMC8835892/ /pubmed/35163546 http://dx.doi.org/10.3390/ijms23031609 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Fang, Pan Ji, Yanlong Oellerich, Thomas Urlaub, Henning Pan, Kuan-Ting Strategies for Proteome-Wide Quantification of Glycosylation Macro- and Micro-Heterogeneity |
title | Strategies for Proteome-Wide Quantification of Glycosylation Macro- and Micro-Heterogeneity |
title_full | Strategies for Proteome-Wide Quantification of Glycosylation Macro- and Micro-Heterogeneity |
title_fullStr | Strategies for Proteome-Wide Quantification of Glycosylation Macro- and Micro-Heterogeneity |
title_full_unstemmed | Strategies for Proteome-Wide Quantification of Glycosylation Macro- and Micro-Heterogeneity |
title_short | Strategies for Proteome-Wide Quantification of Glycosylation Macro- and Micro-Heterogeneity |
title_sort | strategies for proteome-wide quantification of glycosylation macro- and micro-heterogeneity |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835892/ https://www.ncbi.nlm.nih.gov/pubmed/35163546 http://dx.doi.org/10.3390/ijms23031609 |
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