Evidence map›Paper›PMID 33677548›Full record

ArticleGlycobiology2021

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

Issaku Yamada, Matthew P Campbell, Nathan Edwards, Leyla Jael Castro, Frederique Lisacek, Julien Mariethoz, Tamiko Ono, Rene Ranzinger, Daisuke Shinmachi, Kiyoko F Aoki-Kinoshita

Erratum issuedAbstract read
In one paragraph

Article in Glycobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. High-Throughput Glycomic Methods.Chemical reviews · 2022
    Review
  5. Dealing with the Ambiguity of Glycan Substructure Search.Molecules (Basel, Switzerland) · 2021
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Issaku YamadaResearch Department, The Noguchi Institute, 1-9-7 Kaga, Itabashi, Tokyo 173-0003, Japan.ORCID 0000-0001-9504-189X
Matthew P CampbellInstitute for Glycomics, Griffith University at Gold Coast, Southport, QLD 4215, Australia.
Nathan EdwardsDepartment of Biochemistry, Molecular and Cellular Biology, Georgetown University Medical Center, Washington, D.C. 20007, USA.
Leyla Jael CastroZB MED Information Centre for Life Sciences, Gleueler Str. 60, 50931 Cologne, Germany.ORCID 0000-0003-3986-0510
Frederique LisacekProteome Informatics Group, SIB Swiss Institute of Bioinformatics, Computer Science Department, University of Geneva, route de Drize 7, CH - 1227 Geneva Switzerland, and also Section of Biology, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-0948-4537
Julien MariethozProteome Informatics Group, SIB Swiss Institute of Bioinformatics, 7 Route de Drize, 1227 Geneva, Switzerland.
Tamiko OnoFaculty of Science and Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan.
Rene RanzingerComplex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Rd, Athens, Georgia 30602, USA.
Daisuke ShinmachiR&D Department, SparqLite LLC., 1615-22 Ishikawamachi, Hachioji, Tokyo 192-0032, Japan.
Kiyoko F Aoki-KinoshitaGlycan & Life Science Integration Center (GaLSIC), Faculty of Science and Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan.ORCID 0000-0002-6662-8015

Funding

GlyGen Supplement: Develop automatic literature mining tool for extracting context specific glycan-protein data that will enhance the extent and quality of data in GlyGenU01GM125267 · NIGMS · UNIVERSITY OF GEORGIA · PI MAZUMDER, RAJA, TIEMEYER, MICHAEL · 2017 to 2021
$10.2M
NIGMS NIH HHS U01 GM125267NIH HHS U01-GM125267-01Swiss National Science Foundation 31003A_179249
6 · The paper itself

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).

Indexed as

GlycoproteinsPolysaccharidesGlycosylationGlycoproteinsPolysaccharidesglycoconjugateglycolipidglycoproteinontologySemantic Web

Identifiers

PMID33677548
PMCPMC8351504

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.