» Articles » PMID: 31332201

Towards a Standardized Bioinformatics Infrastructure for N- and O-glycomics

Abstract

The mass spectrometry (MS)-based analysis of free polysaccharides and glycans released from proteins, lipids and proteoglycans increasingly relies on databases and software. Here, we review progress in the bioinformatics analysis of protein-released N- and O-linked glycans (N- and O-glycomics) and propose an e-infrastructure to overcome current deficits in data and experimental transparency. This workflow enables the standardized submission of MS-based glycomics information into the public repository UniCarb-DR. It implements the MIRAGE (Minimum Requirement for A Glycomics Experiment) reporting guidelines, storage of unprocessed MS data in the GlycoPOST repository and glycan structure registration using the GlyTouCan registry, thereby supporting the development and extension of a glycan structure knowledgebase.

Citing Articles

Cooperation of GlycoPOST and UniCarb-DR towards a comprehensive glycomics data repository workflow.

Takahashi Y, Karlsson N, Okuda S, Aoki-Kinoshita K Anal Bioanal Chem. 2024; 417(5):1015-1023.

PMID: 39611991 PMC: 11782440. DOI: 10.1007/s00216-024-05673-3.


Glycoscience data content in the NCBI Glycans and PubChem.

Kim S, Zhang J, Cheng T, Li Q, Bolton E Anal Bioanal Chem. 2024; 417(5):865-878.

PMID: 39134728 PMC: 11782412. DOI: 10.1007/s00216-024-05459-7.


Overview and limitations of database in global traditional medicines: A narrative review.

Li X, Zhang J, Shen X, Zhang Y, Guo D Acta Pharmacol Sin. 2024; 46(2):235-263.

PMID: 39095509 PMC: 11747326. DOI: 10.1038/s41401-024-01353-1.


UniCarb-DB: An MS/MS Experimental Glycomic Fragmentation Database.

Jin C, Venkatakrishnan V, Thomsson K, Aoki N, Shinmachi D, Aoki-Kinoshita K Methods Mol Biol. 2024; 2836:77-96.

PMID: 38995537 DOI: 10.1007/978-1-0716-4007-4_6.


Decoding glycosylation potential from protein structure across human glycoproteins with a multi-view recurrent neural network.

Kellman B, Mariethoz J, Zhang Y, Shaul S, Alteri M, Sandoval D bioRxiv. 2024; .

PMID: 38798633 PMC: 11118808. DOI: 10.1101/2024.05.15.594334.


References
1.
Packer N, von der Lieth C, Aoki-Kinoshita K, Lebrilla C, Paulson J, Raman R . Frontiers in glycomics: bioinformatics and biomarkers in disease. An NIH white paper prepared from discussions by the focus groups at a workshop on the NIH campus, Bethesda MD (September 11-13, 2006). Proteomics. 2007; 8(1):8-20. DOI: 10.1002/pmic.200700917. View

2.
Mariethoz J, Alocci D, Gastaldello A, Horlacher O, Gasteiger E, Rojas-Macias M . Glycomics@ExPASy: Bridging the Gap. Mol Cell Proteomics. 2018; 17(11):2164-2176. PMC: 6210229. DOI: 10.1074/mcp.RA118.000799. View

3.
Struwe W, Agravat S, Aoki-Kinoshita K, Campbell M, Costello C, Dell A . The minimum information required for a glycomics experiment (MIRAGE) project: sample preparation guidelines for reliable reporting of glycomics datasets. Glycobiology. 2016; 26(9):907-910. PMC: 5045532. DOI: 10.1093/glycob/cww082. View

4.
Taylor C, Paton N, Lilley K, Binz P, Julian Jr R, Jones A . The minimum information about a proteomics experiment (MIAPE). Nat Biotechnol. 2007; 25(8):887-93. DOI: 10.1038/nbt1329. View

5.
Wuhrer M . Glycomics using mass spectrometry. Glycoconj J. 2012; 30(1):11-22. PMC: 3547245. DOI: 10.1007/s10719-012-9376-3. View