• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

糖缀合物本体(GlycoCoO)用于规范糖缀合物数据的注释及其应用。

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

机构信息

Research Department, The Noguchi Institute, 1-9-7 Kaga, Itabashi, Tokyo 173-0003, Japan.

Institute for Glycomics, Griffith University at Gold Coast, Southport, QLD 4215, Australia.

出版信息

Glycobiology. 2021 Aug 7;31(7):741-750. doi: 10.1093/glycob/cwab013.

DOI:10.1093/glycob/cwab013
PMID:33677548
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8351504/
Abstract

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).

摘要

近年来,糖蛋白质组学协议和方法的发展取得了重大进展,导致报告的蛋白质、其连接的聚糖和糖基化位点数量持续增加。然而,只有极少数这些报告能够进入数据库或数据存储库。其中一个主要原因是缺乏表示糖蛋白的数字标准以及糖基化的挑战性注释。根据实验方法,这样的标准必须能够表示完整的聚糖结构或组成,不仅存储单个聚糖,还能代表特定糖基化位点的糖型,在没有进行位点映射时处理部分缺失的位点信息,并在特定位点的糖型内存储聚糖的丰度或比例。为了支持上述内容,我们开发了糖缀合物本体 (GlycoConjugate Ontology, GlycoCoO) 作为描述和表示糖蛋白质组学数据的标准语义框架。GlycoCoO 可用于在三元存储中表示糖蛋白质组学数据,并可作为数据交换格式的基础。本体、数据库提供程序和支持文档可在线获取 (https://github.com/glycoinfo/GlycoCoO)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/155670c1e2bb/cwab013f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/b6423f39e753/cwab013f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/c714dd98482d/cwab013f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/a4f7d1cb1cc2/cwab013f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/2f5d19e7cff1/cwab013f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/8178aa39d190/cwab013f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/155670c1e2bb/cwab013f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/b6423f39e753/cwab013f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/c714dd98482d/cwab013f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/a4f7d1cb1cc2/cwab013f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/2f5d19e7cff1/cwab013f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/8178aa39d190/cwab013f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6003/8351504/155670c1e2bb/cwab013f6.jpg

相似文献

1
The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application.糖缀合物本体(GlycoCoO)用于规范糖缀合物数据的注释及其应用。
Glycobiology. 2021 Aug 7;31(7):741-750. doi: 10.1093/glycob/cwab013.
2
GlyComb: A novel glycoconjugate data repository that bridges glycomics and proteomics.糖结合物数据库:连接糖组学和蛋白质组学的新型糖缀合物数据库。
J Biol Chem. 2024 Feb;300(2):105624. doi: 10.1016/j.jbc.2023.105624. Epub 2024 Jan 3.
3
Corrigendum to: The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application.更正:用于规范糖缀合物数据注释的糖缀合物本体(GlycoCoO)及其应用
Glycobiology. 2022 Sep 19;32(10):909. doi: 10.1093/glycob/cwab065.
4
UniCarbKB: New database features for integrating glycan structure abundance, compositional glycoproteomics data, and disease associations.单糖知识库(UniCarbKB):用于整合聚糖结构丰度、组成性糖蛋白质组学数据和疾病关联的新数据库功能。
Biochim Biophys Acta. 2016 Aug;1860(8):1669-75. doi: 10.1016/j.bbagen.2016.02.016. Epub 2016 Mar 3.
5
Advances in mass spectrometry driven O-glycoproteomics.质谱驱动的O-糖蛋白质组学进展。
Biochim Biophys Acta. 2015 Jan;1850(1):33-42. doi: 10.1016/j.bbagen.2014.09.026. Epub 2014 Oct 2.
6
DeGlyPHER: Highly sensitive site-specific analysis of N-linked glycans on proteins.DeGlyPHER:蛋白质上 N-连接聚糖的高灵敏位点特异性分析。
Methods Enzymol. 2023;682:137-185. doi: 10.1016/bs.mie.2022.09.004. Epub 2022 Dec 26.
7
Micro- and macroheterogeneity of N-glycosylation yields size and charge isoforms of human sex hormone binding globulin circulating in serum.N-糖基化的微异质性和宏异质性产生了人血清中循环性激素结合球蛋白的大小和电荷异构体。
Proteomics. 2012 Nov;12(22):3315-27. doi: 10.1002/pmic.201200354. Epub 2012 Oct 29.
8
A case for protein-level and site-level specificity in glycoproteomic studies of disease.疾病糖蛋白质组学研究中蛋白质水平和位点水平特异性的实例
Glycoconj J. 2016 Jun;33(3):377-85. doi: 10.1007/s10719-016-9663-5. Epub 2016 Mar 23.
9
Advances in LC-MS/MS-based glycoproteomics: getting closer to system-wide site-specific mapping of the N- and O-glycoproteome.基于液相色谱-串联质谱的糖蛋白质组学进展:更接近N-糖蛋白质组和O-糖蛋白质组的全系统位点特异性图谱分析。
Biochim Biophys Acta. 2014 Sep;1844(9):1437-52. doi: 10.1016/j.bbapap.2014.05.002. Epub 2014 May 12.
10
N-glycan occupancy of Arabidopsis N-glycoproteins.拟南芥 N-糖蛋白的 N-聚糖占有率。
J Proteomics. 2013 Nov 20;93:343-55. doi: 10.1016/j.jprot.2013.07.032. Epub 2013 Aug 27.

引用本文的文献

1
MicroGlycoDB: A database of microbial glycans using Semantic Web technologies.微聚糖数据库:一个使用语义网技术的微生物聚糖数据库。
BBA Adv. 2024 Nov 30;6:100126. doi: 10.1016/j.bbadva.2024.100126. eCollection 2024.
2
Updates implemented in version 4 of the GlyCosmos Glycoscience Portal.糖科学门户(GlyCosmos)第4版中实施的更新。
Anal Bioanal Chem. 2025 Feb;417(5):907-919. doi: 10.1007/s00216-024-05692-0. Epub 2024 Dec 17.
3
GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology.糖基酶本体学:糖基酶途径和分子功能本体学。

本文引用的文献

1
The international glycan repository GlyTouCan version 3.0.国际聚糖库 GlyTouCan 版本 3.0。
Nucleic Acids Res. 2021 Jan 8;49(D1):D1529-D1533. doi: 10.1093/nar/gkaa947.
2
GlyGen: Computational and Informatics Resources for Glycoscience.糖基组学:糖科学的计算与信息学资源
Glycobiology. 2020 Jan 28;30(2):72-73. doi: 10.1093/glycob/cwz080.
3
The GlySpace Alliance: toward a collaborative global glycoinformatics community.糖空间联盟:迈向协作型全球糖生物信息学社区。
Bioinformatics. 2022 Dec 13;38(24):5413-5420. doi: 10.1093/bioinformatics/btac704.
4
High-Throughput Glycomic Methods.高通量糖组学方法。
Chem Rev. 2022 Oct 26;122(20):15865-15913. doi: 10.1021/acs.chemrev.1c01031. Epub 2022 Jul 7.
5
Dealing with the Ambiguity of Glycan Substructure Search.处理糖基结构搜索的模糊性。
Molecules. 2021 Dec 23;27(1):65. doi: 10.3390/molecules27010065.
6
RDFizing the biosynthetic pathway of E.coli O-antigen to enable semantic sharing of microbiology data.将大肠杆菌 O-抗原的生物合成途径 RDF 化,以实现微生物学数据的语义共享。
BMC Microbiol. 2021 Nov 22;21(1):325. doi: 10.1186/s12866-021-02384-y.
Glycobiology. 2020 Jan 28;30(2):70-71. doi: 10.1093/glycob/cwz078.
4
GlyConnect: Glycoproteomics Goes Visual, Interactive, and Analytical.GlyConnect:糖蛋白质组学的可视化、交互和分析
J Proteome Res. 2019 Feb 1;18(2):664-677. doi: 10.1021/acs.jproteome.8b00766. Epub 2019 Jan 15.
5
Glycosciences.DB: an annotated data collection linking glycomics and proteomics data (2018 update).糖科学数据库:连接糖组学和蛋白质组学数据的注释数据集(2018 更新)。
Nucleic Acids Res. 2019 Jan 8;47(D1):D1195-D1201. doi: 10.1093/nar/gky994.
6
GlycoStore: a database of retention properties for glycan analysis.糖库:聚糖分析保留特性数据库。
Bioinformatics. 2018 Sep 15;34(18):3231-3232. doi: 10.1093/bioinformatics/bty319.
7
The Cellosaurus, a Cell-Line Knowledge Resource.细胞osaurus,一个细胞系知识资源库。
J Biomol Tech. 2018 Jul;29(2):25-38. doi: 10.7171/jbt.18-2902-002. Epub 2018 May 10.
8
SPANG: a SPARQL client supporting generation and reuse of queries for distributed RDF databases.SPANG:一个支持为分布式RDF数据库生成和重用查询的SPARQL客户端。
BMC Bioinformatics. 2017 Feb 8;18(1):93. doi: 10.1186/s12859-017-1531-1.
9
UniProt: the universal protein knowledgebase.通用蛋白质知识库:UniProt
Nucleic Acids Res. 2017 Jan 4;45(D1):D158-D169. doi: 10.1093/nar/gkw1099. Epub 2016 Nov 29.
10
The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability.《细胞本体论(2016 年):内容增强、模块化与本体互操作性》
J Biomed Semantics. 2016 Jul 4;7(1):44. doi: 10.1186/s13326-016-0088-7.