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The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application

Recent years have seen great advances in the development of glycoproteomics protocols and methods resulting in a sustainable increase in the reporting proteins, their attached glycans and glycosylation sites. However, only very few of these reports find their way into databases or data repositories....

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Autores principales: Yamada, Issaku, Campbell, Matthew P, Edwards, Nathan, Castro, Leyla Jael, Lisacek, Frederique, Mariethoz, Julien, Ono, Tamiko, Ranzinger, Rene, Shinmachi, Daisuke, Aoki-Kinoshita, Kiyoko F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351504/
https://www.ncbi.nlm.nih.gov/pubmed/33677548
http://dx.doi.org/10.1093/glycob/cwab013
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author Yamada, Issaku
Campbell, Matthew P
Edwards, Nathan
Castro, Leyla Jael
Lisacek, Frederique
Mariethoz, Julien
Ono, Tamiko
Ranzinger, Rene
Shinmachi, Daisuke
Aoki-Kinoshita, Kiyoko F
author_facet Yamada, Issaku
Campbell, Matthew P
Edwards, Nathan
Castro, Leyla Jael
Lisacek, Frederique
Mariethoz, Julien
Ono, Tamiko
Ranzinger, Rene
Shinmachi, Daisuke
Aoki-Kinoshita, Kiyoko F
author_sort Yamada, Issaku
collection PubMed
description Recent years have seen great advances in the development of glycoproteomics protocols and methods resulting in a sustainable increase in the reporting proteins, their attached glycans and glycosylation sites. However, only very few of these reports find their way into databases or data repositories. One of the major reasons is the absence of digital standard to represent glycoproteins and the challenging annotations with glycans. Depending on the experimental method, such a standard must be able to represent glycans as complete structures or as compositions, store not just single glycans but also represent glycoforms on a specific glycosylation side, deal with partially missing site information if no site mapping was performed, and store abundances or ratios of glycans within a glycoform of a specific site. To support the above, we have developed the GlycoConjugate Ontology (GlycoCoO) as a standard semantic framework to describe and represent glycoproteomics data. GlycoCoO can be used to represent glycoproteomics data in triplestores and can serve as a basis for data exchange formats. The ontology, database providers and supporting documentation are available online (https://github.com/glycoinfo/GlycoCoO).
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spelling pubmed-83515042021-08-09 The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application Yamada, Issaku Campbell, Matthew P Edwards, Nathan Castro, Leyla Jael Lisacek, Frederique Mariethoz, Julien Ono, Tamiko Ranzinger, Rene Shinmachi, Daisuke Aoki-Kinoshita, Kiyoko F Glycobiology Glyco-Informatics Recent years have seen great advances in the development of glycoproteomics protocols and methods resulting in a sustainable increase in the reporting proteins, their attached glycans and glycosylation sites. However, only very few of these reports find their way into databases or data repositories. One of the major reasons is the absence of digital standard to represent glycoproteins and the challenging annotations with glycans. Depending on the experimental method, such a standard must be able to represent glycans as complete structures or as compositions, store not just single glycans but also represent glycoforms on a specific glycosylation side, deal with partially missing site information if no site mapping was performed, and store abundances or ratios of glycans within a glycoform of a specific site. To support the above, we have developed the GlycoConjugate Ontology (GlycoCoO) as a standard semantic framework to describe and represent glycoproteomics data. GlycoCoO can be used to represent glycoproteomics data in triplestores and can serve as a basis for data exchange formats. The ontology, database providers and supporting documentation are available online (https://github.com/glycoinfo/GlycoCoO). Oxford University Press 2021-02-23 /pmc/articles/PMC8351504/ /pubmed/33677548 http://dx.doi.org/10.1093/glycob/cwab013 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (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 Glyco-Informatics
Yamada, Issaku
Campbell, Matthew P
Edwards, Nathan
Castro, Leyla Jael
Lisacek, Frederique
Mariethoz, Julien
Ono, Tamiko
Ranzinger, Rene
Shinmachi, Daisuke
Aoki-Kinoshita, Kiyoko F
The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application
title The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application
title_full The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application
title_fullStr The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application
title_full_unstemmed The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application
title_short The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application
title_sort glycoconjugate ontology (glycocoo) for standardizing the annotation of glycoconjugate data and its application
topic Glyco-Informatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351504/
https://www.ncbi.nlm.nih.gov/pubmed/33677548
http://dx.doi.org/10.1093/glycob/cwab013
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