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Comprehensive Plasma N-Glycoproteome Profiling Based on EThcD-sceHCD-MS/MS
Glycoproteins are involved in a variety of biological processes. More than one-third of the plasma protein biomarkers of tumors approved by the FDA are glycoproteins, and could improve the diagnostic specificity and/or sensitivity. Therefore, it is of great significance to perform the systematic cha...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251008/ https://www.ncbi.nlm.nih.gov/pubmed/35795219 http://dx.doi.org/10.3389/fchem.2022.920009 |
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author | Mao, Yonghong Su, Tao Lin, Tianhai Yang, Hao Zhao, Yang Zhang, Yong Dai, Xinhua |
author_facet | Mao, Yonghong Su, Tao Lin, Tianhai Yang, Hao Zhao, Yang Zhang, Yong Dai, Xinhua |
author_sort | Mao, Yonghong |
collection | PubMed |
description | Glycoproteins are involved in a variety of biological processes. More than one-third of the plasma protein biomarkers of tumors approved by the FDA are glycoproteins, and could improve the diagnostic specificity and/or sensitivity. Therefore, it is of great significance to perform the systematic characterization of plasma N-glycoproteome. In previous studies, we developed an integrated method based on the combinatorial peptide ligand library (CPLL) and stepped collision energy/higher energy collisional dissociation (sceHCD) for comprehensive plasma N-glycoproteome profiling. Recently, we presented a new fragmentation method, EThcD-sceHCD, which outperformed sceHCD in the accuracy of identification. Herein, we integrated the combinatorial peptide ligand library (CPLL) into EThcD-sceHCD and compared the performance of different mass spectrometry dissociation methods (EThcD-sceHCD, EThcD, and sceHCD) in the intact N-glycopeptide analysis of prostate cancer plasma. The results illustrated that EThcD-sceHCD was better than EThcD and sceHCD in the number of identified intact N-glycopeptides (two-folds). A combination of sceHCD and EThcD-sceHCD methods can cover almost all glycoproteins (96.4%) and intact N-glycopeptides (93.6%), indicating good complementarity between the two. Our study has great potential for medium- and low-abundance plasma glycoprotein biomarker discovery. |
format | Online Article Text |
id | pubmed-9251008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92510082022-07-05 Comprehensive Plasma N-Glycoproteome Profiling Based on EThcD-sceHCD-MS/MS Mao, Yonghong Su, Tao Lin, Tianhai Yang, Hao Zhao, Yang Zhang, Yong Dai, Xinhua Front Chem Chemistry Glycoproteins are involved in a variety of biological processes. More than one-third of the plasma protein biomarkers of tumors approved by the FDA are glycoproteins, and could improve the diagnostic specificity and/or sensitivity. Therefore, it is of great significance to perform the systematic characterization of plasma N-glycoproteome. In previous studies, we developed an integrated method based on the combinatorial peptide ligand library (CPLL) and stepped collision energy/higher energy collisional dissociation (sceHCD) for comprehensive plasma N-glycoproteome profiling. Recently, we presented a new fragmentation method, EThcD-sceHCD, which outperformed sceHCD in the accuracy of identification. Herein, we integrated the combinatorial peptide ligand library (CPLL) into EThcD-sceHCD and compared the performance of different mass spectrometry dissociation methods (EThcD-sceHCD, EThcD, and sceHCD) in the intact N-glycopeptide analysis of prostate cancer plasma. The results illustrated that EThcD-sceHCD was better than EThcD and sceHCD in the number of identified intact N-glycopeptides (two-folds). A combination of sceHCD and EThcD-sceHCD methods can cover almost all glycoproteins (96.4%) and intact N-glycopeptides (93.6%), indicating good complementarity between the two. Our study has great potential for medium- and low-abundance plasma glycoprotein biomarker discovery. Frontiers Media S.A. 2022-06-20 /pmc/articles/PMC9251008/ /pubmed/35795219 http://dx.doi.org/10.3389/fchem.2022.920009 Text en Copyright © 2022 Mao, Su, Lin, Yang, Zhao, Zhang and Dai. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Chemistry Mao, Yonghong Su, Tao Lin, Tianhai Yang, Hao Zhao, Yang Zhang, Yong Dai, Xinhua Comprehensive Plasma N-Glycoproteome Profiling Based on EThcD-sceHCD-MS/MS |
title | Comprehensive Plasma N-Glycoproteome Profiling Based on EThcD-sceHCD-MS/MS |
title_full | Comprehensive Plasma N-Glycoproteome Profiling Based on EThcD-sceHCD-MS/MS |
title_fullStr | Comprehensive Plasma N-Glycoproteome Profiling Based on EThcD-sceHCD-MS/MS |
title_full_unstemmed | Comprehensive Plasma N-Glycoproteome Profiling Based on EThcD-sceHCD-MS/MS |
title_short | Comprehensive Plasma N-Glycoproteome Profiling Based on EThcD-sceHCD-MS/MS |
title_sort | comprehensive plasma n-glycoproteome profiling based on ethcd-scehcd-ms/ms |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251008/ https://www.ncbi.nlm.nih.gov/pubmed/35795219 http://dx.doi.org/10.3389/fchem.2022.920009 |
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