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GlycoHybridSeq: Automated Identification of N-Linked Glycopeptides Using Electron Transfer/High-Energy Collision Dissociation (EThcD)
[Image: see text] Glycosylation is one of the most common post-translational modifications (PTM) occurring in a large variety of proteins with important biological functions in human and other higher organisms. Liquid chromatography tandem mass spectrometry (LC-MS/MS) has been routinely used to char...
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/PMC8185882/ https://www.ncbi.nlm.nih.gov/pubmed/34010560 http://dx.doi.org/10.1021/acs.jproteome.1c00245 |
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author | Zhang, Rui Zhu, Jianhui Lubman, David M. Mechref, Yehia Tang, Haixu |
author_facet | Zhang, Rui Zhu, Jianhui Lubman, David M. Mechref, Yehia Tang, Haixu |
author_sort | Zhang, Rui |
collection | PubMed |
description | [Image: see text] Glycosylation is one of the most common post-translational modifications (PTM) occurring in a large variety of proteins with important biological functions in human and other higher organisms. Liquid chromatography tandem mass spectrometry (LC-MS/MS) has been routinely used to characterize site-specific protein glycosylation at high throughput in complex glycoproteomic samples. Recently, electron transfer/high-energy collision dissociation (EThcD) was introduced for glycopeptide identification, which offers rich structural information on glycopepides with the fragment ions from the cleavages of both the glycan and the peptide backbone. Herein, we present the software GlycoHybridSeq for automated interpretation of EThcD-MS/MS spectra from glycoproteomic data using a customized scoring function, which enables the functionalities of identifying glycopeptides, characterizing glycosylation sites, and distinguishing some isomeric glycans. We evaluate GlycoHybridSeq on glycoproteomic data collected for cancer biomarker discovery. The results showed that it achieved comparable or better performance than that of Byonic and MSFragger. GlycoHybridSeq is released as an open source software and is ready to be used in large-scale glycoproteomic data analyses. |
format | Online Article Text |
id | pubmed-8185882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-81858822021-06-09 GlycoHybridSeq: Automated Identification of N-Linked Glycopeptides Using Electron Transfer/High-Energy Collision Dissociation (EThcD) Zhang, Rui Zhu, Jianhui Lubman, David M. Mechref, Yehia Tang, Haixu J Proteome Res [Image: see text] Glycosylation is one of the most common post-translational modifications (PTM) occurring in a large variety of proteins with important biological functions in human and other higher organisms. Liquid chromatography tandem mass spectrometry (LC-MS/MS) has been routinely used to characterize site-specific protein glycosylation at high throughput in complex glycoproteomic samples. Recently, electron transfer/high-energy collision dissociation (EThcD) was introduced for glycopeptide identification, which offers rich structural information on glycopepides with the fragment ions from the cleavages of both the glycan and the peptide backbone. Herein, we present the software GlycoHybridSeq for automated interpretation of EThcD-MS/MS spectra from glycoproteomic data using a customized scoring function, which enables the functionalities of identifying glycopeptides, characterizing glycosylation sites, and distinguishing some isomeric glycans. We evaluate GlycoHybridSeq on glycoproteomic data collected for cancer biomarker discovery. The results showed that it achieved comparable or better performance than that of Byonic and MSFragger. GlycoHybridSeq is released as an open source software and is ready to be used in large-scale glycoproteomic data analyses. American Chemical Society 2021-05-19 2021-06-04 /pmc/articles/PMC8185882/ /pubmed/34010560 http://dx.doi.org/10.1021/acs.jproteome.1c00245 Text en © 2021 The Authors. Published by American Chemical Society 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 | Zhang, Rui Zhu, Jianhui Lubman, David M. Mechref, Yehia Tang, Haixu GlycoHybridSeq: Automated Identification of N-Linked Glycopeptides Using Electron Transfer/High-Energy Collision Dissociation (EThcD) |
title | GlycoHybridSeq:
Automated Identification of N-Linked
Glycopeptides Using Electron Transfer/High-Energy Collision Dissociation
(EThcD) |
title_full | GlycoHybridSeq:
Automated Identification of N-Linked
Glycopeptides Using Electron Transfer/High-Energy Collision Dissociation
(EThcD) |
title_fullStr | GlycoHybridSeq:
Automated Identification of N-Linked
Glycopeptides Using Electron Transfer/High-Energy Collision Dissociation
(EThcD) |
title_full_unstemmed | GlycoHybridSeq:
Automated Identification of N-Linked
Glycopeptides Using Electron Transfer/High-Energy Collision Dissociation
(EThcD) |
title_short | GlycoHybridSeq:
Automated Identification of N-Linked
Glycopeptides Using Electron Transfer/High-Energy Collision Dissociation
(EThcD) |
title_sort | glycohybridseq:
automated identification of n-linked
glycopeptides using electron transfer/high-energy collision dissociation
(ethcd) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185882/ https://www.ncbi.nlm.nih.gov/pubmed/34010560 http://dx.doi.org/10.1021/acs.jproteome.1c00245 |
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