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High-throughput site-specific N-glycoproteomics reveals glyco-signatures for liver disease diagnosis

The glycoproteome has emerged as a prominent target for screening biomarkers, as altered glycosylation is a hallmark of cancer cells. In this work, we incorporated tandem mass tag labeling into quantitative glycoproteomics by developing a chemical labeling-assisted complementary dissociation method...

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Detalles Bibliográficos
Autores principales: Sun, Zhenyu, Fu, Bin, Wang, Guoli, Zhang, Lei, Xu, Ruofan, Zhang, Ying, Lu, Haojie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985154/
https://www.ncbi.nlm.nih.gov/pubmed/36879659
http://dx.doi.org/10.1093/nsr/nwac059
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author Sun, Zhenyu
Fu, Bin
Wang, Guoli
Zhang, Lei
Xu, Ruofan
Zhang, Ying
Lu, Haojie
author_facet Sun, Zhenyu
Fu, Bin
Wang, Guoli
Zhang, Lei
Xu, Ruofan
Zhang, Ying
Lu, Haojie
author_sort Sun, Zhenyu
collection PubMed
description The glycoproteome has emerged as a prominent target for screening biomarkers, as altered glycosylation is a hallmark of cancer cells. In this work, we incorporated tandem mass tag labeling into quantitative glycoproteomics by developing a chemical labeling-assisted complementary dissociation method for the multiplexed analysis of intact N-glycopeptides. Benefiting from the complementary nature of two different mass spectrometry dissociation methods for identification and multiplex labeling for quantification of intact N-glycopeptides, we conducted the most comprehensive site-specific and subclass-specific N-glycosylation profiling of human serum immunoglobulin G (IgG) to date. By analysing the serum of 90 human patients with varying severities of liver diseases, as well as healthy controls, we identified that the combination of IgG1-H3N5F1 and IgG4-H4N3 can be used for distinguishing between different stages of liver diseases. Finally, we used targeted parallel reaction monitoring to successfully validate the expression changes of glycosylation in liver diseases in a different sample cohort that included 45 serum samples.
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spelling pubmed-99851542023-03-05 High-throughput site-specific N-glycoproteomics reveals glyco-signatures for liver disease diagnosis Sun, Zhenyu Fu, Bin Wang, Guoli Zhang, Lei Xu, Ruofan Zhang, Ying Lu, Haojie Natl Sci Rev Research Article The glycoproteome has emerged as a prominent target for screening biomarkers, as altered glycosylation is a hallmark of cancer cells. In this work, we incorporated tandem mass tag labeling into quantitative glycoproteomics by developing a chemical labeling-assisted complementary dissociation method for the multiplexed analysis of intact N-glycopeptides. Benefiting from the complementary nature of two different mass spectrometry dissociation methods for identification and multiplex labeling for quantification of intact N-glycopeptides, we conducted the most comprehensive site-specific and subclass-specific N-glycosylation profiling of human serum immunoglobulin G (IgG) to date. By analysing the serum of 90 human patients with varying severities of liver diseases, as well as healthy controls, we identified that the combination of IgG1-H3N5F1 and IgG4-H4N3 can be used for distinguishing between different stages of liver diseases. Finally, we used targeted parallel reaction monitoring to successfully validate the expression changes of glycosylation in liver diseases in a different sample cohort that included 45 serum samples. Oxford University Press 2022-04-05 /pmc/articles/PMC9985154/ /pubmed/36879659 http://dx.doi.org/10.1093/nsr/nwac059 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sun, Zhenyu
Fu, Bin
Wang, Guoli
Zhang, Lei
Xu, Ruofan
Zhang, Ying
Lu, Haojie
High-throughput site-specific N-glycoproteomics reveals glyco-signatures for liver disease diagnosis
title High-throughput site-specific N-glycoproteomics reveals glyco-signatures for liver disease diagnosis
title_full High-throughput site-specific N-glycoproteomics reveals glyco-signatures for liver disease diagnosis
title_fullStr High-throughput site-specific N-glycoproteomics reveals glyco-signatures for liver disease diagnosis
title_full_unstemmed High-throughput site-specific N-glycoproteomics reveals glyco-signatures for liver disease diagnosis
title_short High-throughput site-specific N-glycoproteomics reveals glyco-signatures for liver disease diagnosis
title_sort high-throughput site-specific n-glycoproteomics reveals glyco-signatures for liver disease diagnosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985154/
https://www.ncbi.nlm.nih.gov/pubmed/36879659
http://dx.doi.org/10.1093/nsr/nwac059
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