1
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Vora J, Navelkar R, Vijay-Shanker K, Edwards N, Martinez K, Ding X, Wang T, Su P, Ross K, Lisacek F, Hayes C, Kahsay R, Ranzinger R, Tiemeyer M, Mazumder R. The Glycan Structure Dictionary-a dictionary describing commonly used glycan structure terms. Glycobiology 2023; 33:354-357. [PMID: 36799723 PMCID: PMC10243773 DOI: 10.1093/glycob/cwad014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 01/28/2023] [Accepted: 02/08/2023] [Indexed: 02/18/2023] Open
Abstract
Recent technological advances in glycobiology have resulted in a large influx of data and the publication of many papers describing discoveries in glycoscience. However, the terms used in describing glycan structural features are not standardized, making it difficult to harmonize data across biomolecular databases, hampering the harvesting of information across studies and hindering text mining and curation efforts. To address this shortcoming, the Glycan Structure Dictionary has been developed as a reference dictionary to provide a standardized list of widely used glycan terms that can help in the curation and mapping of glycan structures described in publications. Currently, the dictionary has 190 glycan structure terms with 297 synonyms linked to 3,332 publications. For a term to be included in the dictionary, it must be present in at least 2 peer-reviewed publications. Synonyms, annotations, and cross-references to GlyTouCan, GlycoMotif, and other relevant databases and resources are also provided when available. The purpose of this effort is to facilitate biocuration, assist in the development of text mining tools, improve the harmonization of search, and browse capabilities in glycoinformatics resources and help to map glycan structures to function and disease. It is also expected that authors will use these terms to describe glycan structures in their manuscripts over time. A mechanism is also provided for researchers to submit terms for potential incorporation. The dictionary is available at https://wiki.glygen.org/Glycan_structure_dictionary.
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Affiliation(s)
- Jeet Vora
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, 2300 I Street NW, Washington, DC 20037, USA
| | - Rahi Navelkar
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, 2300 I Street NW, Washington, DC 20037, USA
| | - K Vijay-Shanker
- Department of Computer and Information Science, University of Delaware, Smith Hall, 18 Amstel Ave Newark, DE 19716, USA
| | - Nathan Edwards
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, 3900 Reservoir Rd NW #337, DC 20007, USA
| | - Karina Martinez
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, 2300 I Street NW, Washington, DC 20037, USA
| | - Xiying Ding
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, 2300 I Street NW, Washington, DC 20037, USA
| | - Tianyi Wang
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, 2300 I Street NW, Washington, DC 20037, USA
| | - Peng Su
- Department of Computer and Information Science, University of Delaware, Smith Hall, 18 Amstel Ave Newark, DE 19716, USA
| | - Karen Ross
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, 3900 Reservoir Rd NW #337, DC 20007, USA
| | - Frederique Lisacek
- University of Geneva and Swiss Institute of Bioinformatics, CUI - 7, route de Drize, Geneva 1211, Switzerland
| | - Catherine Hayes
- University of Geneva and Swiss Institute of Bioinformatics, CUI - 7, route de Drize, Geneva 1211, Switzerland
| | - Robel Kahsay
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, 2300 I Street NW, Washington, DC 20037, USA
| | - Rene Ranzinger
- Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Rd, Athens, GA 30602, USA
| | - Michael Tiemeyer
- Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Rd, Athens, GA 30602, USA
| | - Raja Mazumder
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, 2300 I Street NW, Washington, DC 20037, USA
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2
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Yamada I, Campbell MP, Edwards N, Castro LJ, Lisacek F, Mariethoz J, Ono T, Ranzinger R, Shinmachi D, Aoki-Kinoshita KF. Corrigendum to: The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application. Glycobiology 2021; 32:909. [PMID: 34379754 PMCID: PMC9487897 DOI: 10.1093/glycob/cwab065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 12/31/2020] [Accepted: 01/01/2021] [Indexed: 12/01/2022] Open
Affiliation(s)
- Issaku Yamada
- Research Department, The Noguchi Institute, 1-9-7 Kaga, Itabashi, Tokyo 173-0003, Japan
| | - Matthew P Campbell
- Institute for Glycomics, Griffith University at Gold Coast, Southport, QLD 4215, Australia
| | - Nathan Edwards
- Department of Biochemistry, Molecular and Cellular Biology, Georgetown University Medical Center, Washington, D.C. 20007, USA
| | - Leyla Jael Castro
- ZB MED Information Centre for Life Sciences, Gleueler Str. 60, 50931 Cologne, Germany
| | - Frederique Lisacek
- Proteome 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
| | - Julien Mariethoz
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, 7 Route de Drize, 1227 Geneva, Switzerland
| | - Tamiko Ono
- Faculty of Science and Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan
| | - Rene Ranzinger
- Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Rd, Athens, Georgia 30602, USA
| | - Daisuke Shinmachi
- R&D Department, SparqLite LLC., 1615-22 Ishikawamachi, Hachioji, Tokyo 192-0032, Japan
| | - Kiyoko F Aoki-Kinoshita
- Glycan & Life Science Integration Center (GaLSIC), Faculty of Science and Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan
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3
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Tiemeyer M, Kulkarni S, Kahsay R, Ranzinger R, Mazumder R. Enhanced Interface for Retrieving Glycan and Glycosylation Data from GlyGen. FASEB J 2021. [DOI: 10.1096/fasebj.2021.35.s1.04541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | | | - Robel Kahsay
- Biochemistry and Molecular MedicineGeorge Washington UniversityWashingtonDC
| | | | - Raja Mazumder
- Biochemistry and Molecular MedicineGeorge Washington UniversityWashingtonDC
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4
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Yamada I, Campbell MP, Edwards N, Castro LJ, Lisacek F, Mariethoz J, Ono T, Ranzinger R, Shinmachi D, Aoki-Kinoshita KF. The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application. Glycobiology 2021; 31:741-750. [PMID: 33677548 PMCID: PMC8351504 DOI: 10.1093/glycob/cwab013] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 12/31/2020] [Accepted: 01/01/2021] [Indexed: 01/19/2023] Open
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).
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Affiliation(s)
- Issaku Yamada
- Research Department, The Noguchi Institute, 1-9-7 Kaga, Itabashi, Tokyo 173-0003, Japan
| | - Matthew P Campbell
- Institute for Glycomics, Griffith University at Gold Coast, Southport, QLD 4215, Australia
| | - Nathan Edwards
- Department of Biochemistry, Molecular and Cellular Biology, Georgetown University Medical Center, Washington, D.C. 20007, USA
| | - Leyla Jael Castro
- ZB MED Information Centre for Life Sciences, Gleueler Str. 60, 50931 Cologne, Germany
| | - Frederique Lisacek
- Proteome 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
| | - Julien Mariethoz
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, 7 Route de Drize, 1227 Geneva, Switzerland
| | - Tamiko Ono
- Faculty of Science and Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan
| | - Rene Ranzinger
- Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Rd, Athens, Georgia 30602, USA
| | - Daisuke Shinmachi
- R&D Department, SparqLite LLC., 1615-22 Ishikawamachi, Hachioji, Tokyo 192-0032, Japan
| | - Kiyoko F Aoki-Kinoshita
- Glycan & Life Science Integration Center (GaLSIC), Faculty of Science and Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan
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5
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Kahsay R, Vora J, Navelkar R, Mousavi R, Fochtman BC, Holmes X, Pattabiraman N, Ranzinger R, Mahadik R, Williamson T, Kulkarni S, Agarwal G, Martin M, Vasudev P, Garcia L, Edwards N, Zhang W, Natale DA, Ross K, Aoki-Kinoshita KF, Campbell MP, York WS, Mazumder R. GlyGen data model and processing workflow. Bioinformatics 2020; 36:3941-3943. [PMID: 32324859 PMCID: PMC7320628 DOI: 10.1093/bioinformatics/btaa238] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 03/31/2020] [Accepted: 04/16/2020] [Indexed: 11/18/2022] Open
Abstract
Summary Glycoinformatics plays a major role in glycobiology research, and the development of a comprehensive glycoinformatics knowledgebase is critical. This application note describes the GlyGen data model, processing workflow and the data access interfaces featuring programmatic use case example queries based on specific biological questions. The GlyGen project is a data integration, harmonization and dissemination project for carbohydrate and glycoconjugate-related data retrieved from multiple international data sources including UniProtKB, GlyTouCan, UniCarbKB and other key resources. Availability and implementation GlyGen web portal is freely available to access at https://glygen.org. The data portal, web services, SPARQL endpoint and GitHub repository are also freely available at https://data.glygen.org, https://api.glygen.org, https://sparql.glygen.org and https://github.com/glygener, respectively. All code is released under license GNU General Public License version 3 (GNU GPLv3) and is available on GitHub https://github.com/glygener. The datasets are made available under Creative Commons Attribution 4.0 International (CC BY 4.0) license. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Robel Kahsay
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Jeet Vora
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Rahi Navelkar
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Reza Mousavi
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Brian C Fochtman
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Xavier Holmes
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Nagarajan Pattabiraman
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Rene Ranzinger
- Complex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA
| | - Rupali Mahadik
- Complex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA
| | - Tatiana Williamson
- Complex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA
| | - Sujeet Kulkarni
- Complex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA
| | - Gaurav Agarwal
- Complex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA
| | - Maria Martin
- European Bioinformatics Institute, Hinxton CB10 1SD, UK
| | | | - Leyla Garcia
- ZB MED Information Centre for Life Sciences, Cologne 50931, Germany
| | - Nathan Edwards
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20007, USA
| | - Wenjin Zhang
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20007, USA
| | - Darren A Natale
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20007, USA
| | - Karen Ross
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20007, USA
| | | | - Matthew P Campbell
- Institute for Glycomics Griffith University, Southport QLD 4222, Australia
| | - William S York
- Complex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA
| | - Raja Mazumder
- Department of Biochemistry & Molecular Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20052, USA
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6
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Shajahan A, Supekar NT, Wu H, Wands AM, Bhat G, Kalimurthy A, Matsubara M, Ranzinger R, Kohler JJ, Azadi P. Mass Spectrometric Method for the Unambiguous Profiling of Cellular Dynamic Glycosylation. ACS Chem Biol 2020; 15:2692-2701. [PMID: 32809798 DOI: 10.1021/acschembio.0c00453] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Various biological processes at the cellular level are regulated by glycosylation which is a highly microheterogeneous post-translational modification (PTM) on proteins and lipids. The dynamic nature of glycosylation can be studied through metabolic incorporation of non-natural sugars into glycan epitopes and their detection using bio-orthogonal probes. However, this approach possesses a significant drawback due to nonspecific background reactions and ambiguity of non-natural sugar metabolism. Here, we report a probe-free strategy for their direct detection by glycoproteomics and glycomics using mass spectrometry (MS). The method dramatically simplifies the detection of non-natural functional group bearing monosaccharides installed through promiscuous sialic acid, N-acetyl-d-galactosamine (GalNAc) and N-acetyl-d-glucosamine (GlcNAc) biosynthetic pathways. Multistage enrichment of glycoproteins by cellular fractionation, subsequent ZIC-HILIC (zwitterionic-hydrophilic interaction chromatography) based glycopeptide enrichment, and a spectral enrichment algorithm for the MS data processing enabled direct detection of non-natural monosaccharides that are incorporated at low abundance on the N/O-glycopeptides along with their natural counterparts. Our approach allowed the detection of both natural and non-natural sugar bearing glycopeptides, N- and O-glycopeptides, differentiation of non-natural monosaccharide types on the glycans and also their incorporation efficiency through quantitation. Through this, we could deduce interconversion of monosaccharides during their processing through glycan salvage pathway and subsequent incorporation into glycan chains. The study of glycosylation dynamics through this method can be conducted in high throughput, as few sample processing steps are involved, enabling understanding of glycosylation dynamics under various external stimuli and thereby could bolster the use of metabolic glycan engineering in glycosylation functional studies.
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Affiliation(s)
- Asif Shajahan
- Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Road, Athens, Georgia 30602, United States
| | - Nitin T. Supekar
- Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Road, Athens, Georgia 30602, United States
| | - Han Wu
- Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Amberlyn M. Wands
- Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Ganapati Bhat
- Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Road, Athens, Georgia 30602, United States
| | - Aravind Kalimurthy
- Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Road, Athens, Georgia 30602, United States
| | - Masaaki Matsubara
- Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Road, Athens, Georgia 30602, United States
| | - Rene Ranzinger
- Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Road, Athens, Georgia 30602, United States
| | - Jennifer J. Kohler
- Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
| | - Parastoo Azadi
- Complex Carbohydrate Research Center, The University of Georgia, 315 Riverbend Road, Athens, Georgia 30602, United States
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7
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York WS, Mazumder R, Ranzinger R, Edwards N, Kahsay R, Aoki-Kinoshita KF, Campbell MP, Cummings RD, Feizi T, Martin M, Natale DA, Packer NH, Woods RJ, Agarwal G, Arpinar S, Bhat S, Blake J, Castro LJG, Fochtman B, Gildersleeve J, Goldman R, Holmes X, Jain V, Kulkarni S, Mahadik R, Mehta A, Mousavi R, Nakarakommula S, Navelkar R, Pattabiraman N, Pierce MJ, Ross K, Vasudev P, Vora J, Williamson T, Zhang W. GlyGen: Computational and Informatics Resources for Glycoscience. Glycobiology 2020; 30:72-73. [PMID: 31616925 DOI: 10.1093/glycob/cwz080] [Citation(s) in RCA: 87] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 09/19/2019] [Accepted: 09/19/2019] [Indexed: 11/13/2022] Open
Affiliation(s)
- William S York
- University of Georgia Complex Carbohydrate Research, Center, CCRC
| | - Raja Mazumder
- Biochemistry and Molecular Medicine; George Washington University, McCormick Genomic and Proteomic Center
| | - Rene Ranzinger
- University of Georgia, Complex Carbohydrate Research Center
| | | | - Robel Kahsay
- George Washington University, Biochemistry and Molecular Medicine
| | | | | | | | - Ten Feizi
- Imperial College London, The Glycosciences Laboratory
| | | | | | | | - Robert J Woods
- Complex Carbohydrate Research Center, University of Georgia, Biochemistry and Molecular Biology
| | - Gaurav Agarwal
- University of Georgia Complex Carbohydrate Research, Center, CCRC
| | - Sena Arpinar
- University of Georgia, Complex Carbohydrate Research Center
| | - Sanath Bhat
- University of Georgia, Complex Carbohydrate Research Center
| | | | | | - Brian Fochtman
- George Washington University, Biochemistry and Molecular Medicine
| | | | | | - Xavier Holmes
- George Washington University, Biochemistry and Molecular Medicine
| | - Vinamra Jain
- University of Georgia, Complex Carbohydrate Research Center
| | | | - Rupali Mahadik
- University of Georgia, Complex Carbohydrate Research Center
| | - Akul Mehta
- Beth Israel Deaconess Medical Center, Dept. of Surgery
| | - Reza Mousavi
- George Washington University, McCormick Genomic and Proteomic Center
| | | | - Rahi Navelkar
- George Washington University, Biochemistry and Molecular Medicine
| | | | | | - Karen Ross
- University of Delaware Center for Bioinformatics and Computational Biology, Center for Bioinformatics & Computational Biology
| | | | - Jeet Vora
- George Washington University, Biochemistry and Molecular Medicine
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8
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Tiemeyer M, Ranzinger R, Kashay R, Edwards N, Mazumder R, York W. GlyGen ‐ Computational Resources for Glycoscience. FASEB J 2020. [DOI: 10.1096/fasebj.2020.34.s1.06147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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9
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Weatherly DB, Arpinar FS, Porterfield M, Tiemeyer M, York WS, Ranzinger R. GRITS Toolbox-a freely available software for processing, annotating and archiving glycomics mass spectrometry data. Glycobiology 2020; 29:452-460. [PMID: 30913289 DOI: 10.1093/glycob/cwz023] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 03/13/2019] [Accepted: 03/20/2019] [Indexed: 11/14/2022] Open
Abstract
Mass spectrometry (MS) is one of the most effective techniques for high-throughput, high-resolution characterization of glycan structures. Although many software applications have been developed over the last decades for the interpretation of MS data of glycan structures, only a few are capable of dealing with the large data sets produced by glycomics analysis. Furthermore, these applications utilize databases that can lead to redundant glycan annotations and do not support post-processing of the data within the software or by third party applications. To address the needs, we present GRITS Toolbox, a freely-available, platform-independent software application capable of storing and processing glycomics MS data along with associated metadata. GRITS Toolbox automatically annotates MS data using an integrated glycan identification module that references manually curated databases of mammalian glycans (provided with the software) or any user-defined databases. Extensive display routines are provided to post-process the data and refine the automated annotation using expert knowledge of the user. The software also allows side by side comparison of annotations from different MS runs or samples and exporting of annotations into Excel format.
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Affiliation(s)
- D Brent Weatherly
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - F Sena Arpinar
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - Melody Porterfield
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - Michael Tiemeyer
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - William S York
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - Rene Ranzinger
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
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10
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Campbell MP, Abrahams JL, Rapp E, Struwe WB, Costello CE, Novotny M, Ranzinger R, York WS, Kolarich D, Rudd PM, Kettner C. The minimum information required for a glycomics experiment (MIRAGE) project: LC guidelines. Glycobiology 2019; 29:349-354. [PMID: 30778580 DOI: 10.1093/glycob/cwz009] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 02/11/2019] [Accepted: 02/13/2019] [Indexed: 11/13/2022] Open
Abstract
The Minimum Information Required for a Glycomics Experiment (MIRAGE) is an initiative created by experts in the fields of glycobiology, glycoanalytics and glycoinformatics to design guidelines that improve the reporting and reproducibility of glycoanalytical methods. Previously, the MIRAGE Commission has published guidelines for describing sample preparation methods and the reporting of glycan array and mass spectrometry techniques and data collections. Here, we present the first version of guidelines that aim to improve the quality of the reporting of liquid chromatography (LC) glycan data in the scientific literature. These guidelines cover all aspects of instrument setup and modality of data handling and manipulation and is cross-linked with other MIRAGE recommendations. The most recent version of the MIRAGE-LC guidelines is freely available at the MIRAGE project website doi:10.3762/mirage.4.
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Affiliation(s)
- Matthew P Campbell
- Institute for Glycomics, Griffith University, Gold Coast, Queensland, Australia
| | - Jodie L Abrahams
- Institute for Glycomics, Griffith University, Gold Coast, Queensland, Australia
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, Magdeburg, Germany
| | - Weston B Struwe
- Department of Biochemistry, Oxford Glycobiology Institute, University of Oxford, Oxford, UK
| | - Catherine E Costello
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, 670 Albany Street, Suite 504, Boston, MA, USA
| | - Milos Novotny
- Department of Chemistry, Indiana University, 800 E. Kirkwood Avenue, Bloomington, IN, USA
| | - Rene Ranzinger
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA, USA
| | - William S York
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA, USA
| | - Daniel Kolarich
- Institute for Glycomics, Griffith University, Gold Coast, Queensland, Australia.,ARC Centre for Nanoscale BioPhotonics, Griffith University, Gold Coast, Queensland, Australia
| | - Pauline M Rudd
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), 20 Biopolis Way, Centros, Singapore
| | - Carsten Kettner
- Beilstein-Institut, Trakehner Str. 7-9, Frankfurt am Main, Germany
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11
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AlJadda K, Korayem M, Ortiz C, Grainger T, Miller JA, Rasheed KM, Kochut KJ, Peng H, York WS, Ranzinger R, Porterfield M. Mining massive hierarchical data using a scalable probabilistic graphical model. Inf Sci (N Y) 2018. [DOI: 10.1016/j.ins.2017.10.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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12
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Liu Y, McBride R, Stoll M, Palma AS, Silva L, Agravat S, Aoki-Kinoshita KF, Campbell MP, Costello CE, Dell A, Haslam SM, Karlsson NG, Khoo KH, Kolarich D, Novotny MV, Packer NH, Ranzinger R, Rapp E, Rudd PM, Struwe WB, Tiemeyer M, Wells L, York WS, Zaia J, Kettner C, Paulson JC, Feizi T, Smith DF. The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting glycan microarray-based data. Glycobiology 2016; 27:280-284. [PMID: 27993942 PMCID: PMC5444268 DOI: 10.1093/glycob/cww118] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 11/14/2016] [Accepted: 11/21/2016] [Indexed: 11/12/2022] Open
Abstract
MIRAGE (Minimum Information Required for AGlycomics Experiment) is an initiative that was created by experts in the fields of glycobiology, glycoanalytics and glycoinformatics to produce guidelines for reporting results from the diverse types of experiments and analyses used in structural and functional studies of glycans in the scientific literature. As a sequel to the guidelines for sample preparation (Struwe et al. 2016, Glycobiology, 26:907–910) and mass spectrometry data (Kolarich et al. 2013, Mol. Cell Proteomics, 12:991–995), here we present the first version of guidelines intended to improve the standards for reporting data from glycan microarray analyses. For each of eight areas in the workflow of a glycan microarray experiment, we provide guidelines for the minimal information that should be provided in reporting results. We hope that the MIRAGE glycan microarray guidelines proposed here will gain broad acceptance by the community, and will facilitate interpretation and reproducibility of the glycan microarray results with implications in comparison of data from different laboratories and eventual deposition of glycan microarray data in international databases.
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Affiliation(s)
- Yan Liu
- Department of Medicine, Glycosciences Laboratory, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Ryan McBride
- Department of Cell and Molecular Biology, The Scripps Research Institute, 10550 N Torrey Pines Road, La Jolla, CA 92037, USA
| | - Mark Stoll
- Department of Medicine, Glycosciences Laboratory, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Angelina S Palma
- Department of Medicine, Glycosciences Laboratory, Imperial College London, Du Cane Road, London W12 0NN, UK.,Department of Chemistry, UCIBIO@REQUIMTE, Faculty of Science and Technology, NOVA University of Lisbon, Caparica 2829-516, Portugal
| | - Lisete Silva
- Department of Medicine, Glycosciences Laboratory, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Sanjay Agravat
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| | - Kiyoko F Aoki-Kinoshita
- Department of Science and Engineering for Sustainable Innovation, Faculty of Science and Engineering, Soka University, 1-236 Tangimachi, Hachioji, Tokyo 192-8577, Japan
| | - Matthew P Campbell
- Biomolecular Frontiers Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - Catherine E Costello
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, School of Medicine, 670 Albany Street, Suite 504, Boston, MA 02118, USA
| | - Anne Dell
- Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London SW7 2AZ, UK
| | - Stuart M Haslam
- Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London SW7 2AZ, UK
| | - Niclas G Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, PO Box 440, 405 30 Gothenburg, Sweden
| | - Kay-Hooi Khoo
- Institute of Biological Chemistry, Academia Sinica, 128, Academia Road Sec. 2, Nankang, Taipei 115, Taiwan
| | - Daniel Kolarich
- Department of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, Potsdam 14424, Germany
| | - Milos V Novotny
- Department of Chemistry, Indiana University, 800 E. Kirkwood Avenue, Bloomington, IN 47405, USA
| | - Nicolle H Packer
- Biomolecular Frontiers Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - Rene Ranzinger
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA 30602, USA
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, Bioprocess Engineering, 39106 Magdeburg, Germany
| | - Pauline M Rudd
- NIBRT GlycoScience Group, NIBRT-National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co., Dublin, Ireland
| | - Weston B Struwe
- Department of Biochemistry, Glycobiology Institute, University of Oxford, Oxford OX1 3QU, UK
| | - Michael Tiemeyer
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA 30602, USA
| | - Lance Wells
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA 30602, USA
| | - William S York
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA 30602, USA
| | - Joseph Zaia
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, School of Medicine, 670 Albany Street, Suite 504, Boston, MA 02118, USA
| | - Carsten Kettner
- Beilstein-Institut, Trakehner Str. 7-9, 60487 Frankfurt am Main, Germany
| | - James C Paulson
- Department of Cell and Molecular Biology, The Scripps Research Institute, 10550 N Torrey Pines Road, La Jolla, CA 92037, USA
| | - Ten Feizi
- Department of Medicine, Glycosciences Laboratory, Imperial College London, Du Cane Road, London W12 0NN, UK.,Department of Medicine, Glycosciences Laboratory, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - David F Smith
- Emory Comprehensive Glycomics Core, Emory University School of Medicine, Atlanta, GA 30322, USA
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Abstract
The GLYcan Data Exchange (GLYDE) standard has been developed for the representation of the chemical structures of monosaccharides, glycans and glycoconjugates using a connection table formalism formatted in XML. This format allows structures, including those that do not exist in any database, to be unambiguously represented and shared by diverse computational tools. GLYDE implements a partonomy model based on human language along with rules that provide consistent structural representations, including a robust namespace for specifying monosaccharides. This approach facilitates the reuse of data processing software at the level of granularity that is most appropriate for extraction of the desired information. GLYDE-II has already been used as a key element of several glycoinformatics tools. The philosophical and technical underpinnings of GLYDE-II and recent implementation of its enhanced features are described.
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Affiliation(s)
- Rene Ranzinger
- Complex Carbohydrate Research Center, University of Georgia, USA
| | - Krys J Kochut
- Computer Science Department, University of Georgia, USA
| | - John A Miller
- Computer Science Department, University of Georgia, USA
| | | | - Thomas Lütteke
- Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Germany
| | - William S York
- Complex Carbohydrate Research Center, University of Georgia, USA.,Computer Science Department, University of Georgia, USA
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14
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Struwe WB, Agravat S, Aoki-Kinoshita KF, Campbell MP, Costello CE, Dell A, Ten Feizi, Haslam SM, Karlsson NG, Khoo KH, Kolarich D, Liu Y, McBride R, Novotny MV, Packer NH, Paulson JC, Rapp E, Ranzinger R, Rudd PM, Smith DF, Tiemeyer M, Wells L, York WS, Zaia J, Kettner C. The minimum information required for a glycomics experiment (MIRAGE) project: sample preparation guidelines for reliable reporting of glycomics datasets. Glycobiology 2016; 26:907-910. [PMID: 27654115 DOI: 10.1093/glycob/cww082] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Accepted: 04/22/2016] [Indexed: 11/13/2022] Open
Abstract
The minimum information required for a glycomics experiment (MIRAGE) project was established in 2011 to provide guidelines to aid in data reporting from all types of experiments in glycomics research including mass spectrometry (MS), liquid chromatography, glycan arrays, data handling and sample preparation. MIRAGE is a concerted effort of the wider glycomics community that considers the adaptation of reporting guidelines as an important step towards critical evaluation and dissemination of datasets as well as broadening of experimental techniques worldwide. The MIRAGE Commission published reporting guidelines for MS data and here we outline guidelines for sample preparation. The sample preparation guidelines include all aspects of sample generation, purification and modification from biological and/or synthetic carbohydrate material. The application of MIRAGE sample preparation guidelines will lead to improved recording of experimental protocols and reporting of understandable and reproducible glycomics datasets.
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Affiliation(s)
- Weston B Struwe
- Department of Biochemistry, Glycobiology Institute , University of Oxford, Oxford OX1 3QU, UK
| | - Sanjay Agravat
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Kiyoko F Aoki-Kinoshita
- Department of Bioinformatics, Faculty of Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan
| | - Matthew P Campbell
- Biomolecular Frontiers Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - Catherine E Costello
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, School of Medicine, 670 Albany Street, Suite 504, Boston, MA 02118, USA
| | - Anne Dell
- Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London SW7 2AZ, UK
| | - Ten Feizi
- Department of Medicine, Glycosciences Laboratory, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Stuart M Haslam
- Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London SW7 2AZ, UK
| | - Niclas G Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, PO Box 440, 405 30 Gothenburg, Sweden
| | - Kay-Hooi Khoo
- Institute of Biological Chemistry, Academia Sinica, 128, Academia Road Sec. 2, Nankang, Taipei 115, Taiwan
| | - Daniel Kolarich
- Department of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14424 Potsdam, Germany
| | - Yan Liu
- Department of Medicine, Glycosciences Laboratory, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Ryan McBride
- Department of Cell and Molecular Biology, The Scripps Research Institute, 10550 N. Torrey Pines Road, La Jolla, CA 92037, USA
| | - Milos V Novotny
- Department of Chemistry, Indiana University, 800 E. Kirkwood Avenue, Bloomington, IN 47405, USA
| | - Nicolle H Packer
- Biomolecular Frontiers Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - James C Paulson
- Department of Cell and Molecular Biology, The Scripps Research Institute, 10550 N. Torrey Pines Road, La Jolla, CA 92037, USA
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, 39106 Magdeburg, Germany
| | - Rene Ranzinger
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA 30602, USA
| | - Pauline M Rudd
- NIBRT GlycoScience Group, NIBRT-National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
| | - David F Smith
- Center for Comprehensive Informatics, Research and Woodruff Health Sciences IT, Emory University, 1784 N. Decatur Rd, Atlanta, GA 30322, USA
| | - Michael Tiemeyer
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA 30602, USA
| | - Lance Wells
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA 30602, USA
| | - William S York
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA 30602, USA
| | - Joseph Zaia
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, School of Medicine, 670 Albany Street, Suite 504, Boston, MA 02118, USA
| | - Carsten Kettner
- Beilstein-Institut, Trakehner Str. 7-9, 60487 Frankfurt am Main, Germany
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15
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Ranzinger R, Aoki-Kinoshita KF, Campbell MP, Kawano S, Lütteke T, Okuda S, Shinmachi D, Shikanai T, Sawaki H, Toukach P, Matsubara M, Yamada I, Narimatsu H. GlycoRDF: an ontology to standardize glycomics data in RDF. Bioinformatics 2015; 31:919-25. [PMID: 25388145 PMCID: PMC4380026 DOI: 10.1093/bioinformatics/btu732] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Revised: 10/12/2014] [Accepted: 10/28/2014] [Indexed: 11/13/2022] Open
Abstract
MOTIVATION Over the last decades several glycomics-based bioinformatics resources and databases have been created and released to the public. Unfortunately, there is no common standard in the representation of the stored information or a common machine-readable interface allowing bioinformatics groups to easily extract and cross-reference the stored information. RESULTS An international group of bioinformatics experts in the field of glycomics have worked together to create a standard Resource Description Framework (RDF) representation for glycomics data, focused on glycan sequences and related biological source, publications and experimental data. This RDF standard is defined by the GlycoRDF ontology and will be used by database providers to generate common machine-readable exports of the data stored in their databases. AVAILABILITY AND IMPLEMENTATION The ontology, supporting documentation and source code used by database providers to generate standardized RDF are available online (http://www.glycoinfo.org/GlycoRDF/).
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Affiliation(s)
- Rene Ranzinger
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
| | - Kiyoko F Aoki-Kinoshita
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
| | - Matthew P Campbell
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
| | - Shin Kawano
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
| | - Thomas Lütteke
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
| | - Shujiro Okuda
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
| | - Daisuke Shinmachi
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
| | - Toshihide Shikanai
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
| | - Hiromichi Sawaki
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
| | - Philip Toukach
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
| | - Masaaki Matsubara
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
| | - Issaku Yamada
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
| | - Hisashi Narimatsu
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA, Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Faculty of Engineering, Soka University, Tokyo, Japan, Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan, Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia and Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
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16
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Al Jadda K, Porterfield MP, Bridger R, Heiss C, Tiemeyer M, Wells L, Miller JA, York WS, Ranzinger R. EUROCarbDB(CCRC): a EUROCarbDB node for storing glycomics standard data. ACTA ACUST UNITED AC 2014; 31:242-5. [PMID: 25217575 DOI: 10.1093/bioinformatics/btu609] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
MOTIVATION In the field of glycomics research, several different techniques are used for structure elucidation. Although multiple techniques are often used to increase confidence in structure assignments, most glycomics databases allow storing of only a single type of experimental data. In addition, the methods used to prepare a sample for analysis is seldom recorded making it harder to reproduce the analytical data and results. RESULTS We have extended the freely available EUROCarbDB framework to allow the submission of experimental data and the reporting of several orthogonal experimental datasets. The features aim to increase the understandability and reproducibility of the reported data. AVAILABILITY AND IMPLEMENTATION The installation with the glycan standards is available at http://glycomics.ccrc.uga.edu/eurocarb/. The source code of the project is available at https://code.google.com/p/ucdb/. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Khalifeh Al Jadda
- Department of Computer Science and Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA
| | - Melody P Porterfield
- Department of Computer Science and Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA
| | - Robert Bridger
- Department of Computer Science and Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA
| | - Christian Heiss
- Department of Computer Science and Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA
| | - Michael Tiemeyer
- Department of Computer Science and Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA
| | - Lance Wells
- Department of Computer Science and Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA
| | - John A Miller
- Department of Computer Science and Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA
| | - William S York
- Department of Computer Science and Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA
| | - Rene Ranzinger
- Department of Computer Science and Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA
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17
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Damerell D, Ceroni A, Maass K, Ranzinger R, Dell A, Haslam SM. The GlycanBuilder and GlycoWorkbench glycoinformatics tools: updates and new developments. Biol Chem 2014; 393:1357-62. [PMID: 23109548 DOI: 10.1515/hsz-2012-0135] [Citation(s) in RCA: 117] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2012] [Accepted: 07/16/2012] [Indexed: 11/15/2022]
Abstract
During the EUROCarbDB project our group developed the GlycanBuilder and GlycoWorkbench glycoinformatics tools. This short communication summarizes the capabilities of these two tools and updates which have been made since the original publications in 2007 and 2008. GlycanBuilder is a tool that allows for the fast and intuitive drawing of glycan structures; this tool can be used standalone, embedded in web pages and can also be integrated into other programs. GlycoWorkbench has been designed to semi-automatically annotate glycomics data. This tool can be used to annotate mass spectrometry (MS) and MS/MS spectra of free oligosaccharides, N and O-linked glycans, GAGs (glycosaminoglycans) and glycolipids, as well as MS spectra of glycoproteins.
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Affiliation(s)
- David Damerell
- Division of Molecular Biosciences, School of Life Sciences, Imperial College London, London SW7 2AZ, UK
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18
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York WS, Agravat S, Aoki-Kinoshita KF, McBride R, Campbell MP, Costello CE, Dell A, Feizi T, Haslam SM, Karlsson N, Khoo KH, Kolarich D, Liu Y, Novotny M, Packer NH, Paulson JC, Rapp E, Ranzinger R, Rudd PM, Smith DF, Struwe WB, Tiemeyer M, Wells L, Zaia J, Kettner C. MIRAGE: the minimum information required for a glycomics experiment. Glycobiology 2014; 24:402-6. [PMID: 24653214 PMCID: PMC3976285 DOI: 10.1093/glycob/cwu018] [Citation(s) in RCA: 89] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
The MIRAGE (minimum information required for a glycomics experiment) initiative was founded in Seattle, WA, in November 2011 in order to develop guidelines for reporting the qualitative and quantitative results obtained by diverse types of glycomics analyses, including the conditions and techniques that were applied to prepare the glycans for analysis and generate the primary data along with the tools and parameters that were used to process and annotate this data. These guidelines must address a broad range of issues, as glycomics data are inherently complex and are generated using diverse methods, including mass spectrometry (MS), chromatography, glycan array-binding assays, nuclear magnetic resonance (NMR) and other rapidly developing technologies. The acceptance of these guidelines by scientists conducting research on biological systems in which glycans have a significant role will facilitate the evaluation and reproduction of glycomics experiments and data that is reported in scientific journals and uploaded to glycomics databases. As a first step, MIRAGE guidelines for glycan analysis by MS have been recently published (Kolarich D, Rapp E, Struwe WB, Haslam SM, Zaia J., et al. 2013. The minimum information required for a glycomics experiment (MIRAGE) project – Improving the standards for reporting mass spectrometry-based glycoanalytic data. Mol. Cell Proteomics. 12:991–995), allowing them to be implemented and evaluated in the context of real-world glycobiology research. In this paper, we set out the historical context, organization structure and overarching objectives of the MIRAGE initiative.
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Affiliation(s)
- William S York
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA 30602, USA
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Katayama T, Wilkinson MD, Aoki-Kinoshita KF, Kawashima S, Yamamoto Y, Yamaguchi A, Okamoto S, Kawano S, Kim JD, Wang Y, Wu H, Kano Y, Ono H, Bono H, Kocbek S, Aerts J, Akune Y, Antezana E, Arakawa K, Aranda B, Baran J, Bolleman J, Bonnal RJ, Buttigieg PL, Campbell MP, Chen YA, Chiba H, Cock PJ, Cohen KB, Constantin A, Duck G, Dumontier M, Fujisawa T, Fujiwara T, Goto N, Hoehndorf R, Igarashi Y, Itaya H, Ito M, Iwasaki W, Kalaš M, Katoda T, Kim T, Kokubu A, Komiyama Y, Kotera M, Laibe C, Lapp H, Lütteke T, Marshall MS, Mori T, Mori H, Morita M, Murakami K, Nakao M, Narimatsu H, Nishide H, Nishimura Y, Nystrom-Persson J, Ogishima S, Okamura Y, Okuda S, Oshita K, Packer NH, Prins P, Ranzinger R, Rocca-Serra P, Sansone S, Sawaki H, Shin SH, Splendiani A, Strozzi F, Tadaka S, Toukach P, Uchiyama I, Umezaki M, Vos R, Whetzel PL, Yamada I, Yamasaki C, Yamashita R, York WS, Zmasek CM, Kawamoto S, Takagi T. BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains. J Biomed Semantics 2014; 5:5. [PMID: 24495517 PMCID: PMC3978116 DOI: 10.1186/2041-1480-5-5] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Accepted: 11/26/2013] [Indexed: 01/24/2023] Open
Abstract
The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual BioHackathons hosted in Japan for the past five years. Here we provide a review of the activities and outcomes from the BioHackathons held in 2011 in Kyoto and 2012 in Toyama. In order to efficiently implement semantic technologies in the life sciences, participants formed various sub-groups and worked on the following topics: Resource Description Framework (RDF) models for specific domains, text mining of the literature, ontology development, essential metadata for biological databases, platforms to enable efficient Semantic Web technology development and interoperability, and the development of applications for Semantic Web data. In this review, we briefly introduce the themes covered by these sub-groups. The observations made, conclusions drawn, and software development projects that emerged from these activities are discussed.
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Affiliation(s)
- Toshiaki Katayama
- Database Center for Life Science, Research Organization of Information and Systems, 2-11-16, Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan.
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Aoki-Kinoshita KF, Bolleman J, Campbell MP, Kawano S, Kim JD, Lütteke T, Matsubara M, Okuda S, Ranzinger R, Sawaki H, Shikanai T, Shinmachi D, Suzuki Y, Toukach P, Yamada I, Packer NH, Narimatsu H. Introducing glycomics data into the Semantic Web. J Biomed Semantics 2013; 4:39. [PMID: 24280648 PMCID: PMC4177142 DOI: 10.1186/2041-1480-4-39] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2013] [Accepted: 10/17/2013] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Glycoscience is a research field focusing on complex carbohydrates (otherwise known as glycans)a, which can, for example, serve as "switches" that toggle between different functions of a glycoprotein or glycolipid. Due to the advancement of glycomics technologies that are used to characterize glycan structures, many glycomics databases are now publicly available and provide useful information for glycoscience research. However, these databases have almost no link to other life science databases. RESULTS In order to implement support for the Semantic Web most efficiently for glycomics research, the developers of major glycomics databases agreed on a minimal standard for representing glycan structure and annotation information using RDF (Resource Description Framework). Moreover, all of the participants implemented this standard prototype and generated preliminary RDF versions of their data. To test the utility of the converted data, all of the data sets were uploaded into a Virtuoso triple store, and several SPARQL queries were tested as "proofs-of-concept" to illustrate the utility of the Semantic Web in querying across databases which were originally difficult to implement. CONCLUSIONS We were able to successfully retrieve information by linking UniCarbKB, GlycomeDB and JCGGDB in a single SPARQL query to obtain our target information. We also tested queries linking UniProt with GlycoEpitope as well as lectin data with GlycomeDB through PDB. As a result, we have been able to link proteomics data with glycomics data through the implementation of Semantic Web technologies, allowing for more flexible queries across these domains.
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Affiliation(s)
- Kiyoko F Aoki-Kinoshita
- Department of Bioinformatics, Faculty of Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo 192-8577, Japan
| | - Jerven Bolleman
- Swiss Institute of Bioinformatics, CMU 1, rue Michel Servet 1211, Geneva 4, Switzerland
| | - Matthew P Campbell
- Biomolecular Frontiers Research Centre, Macquarie University, Sydney, New South Wales, Australia
| | - Shin Kawano
- Database Center for Life Science, Research Organization of Information and Systems, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan
| | - Jin-Dong Kim
- Database Center for Life Science, Research Organization of Information and Systems, 2-11-16 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan
| | - Thomas Lütteke
- Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Frankfurter Str. 100, 35392 Giessen, Germany
| | - Masaaki Matsubara
- Laboratory of Glyco-organic Chemistry, The Noguchi Institute, 1-8-1 Kaga, Itabashi-ku, Tokyo 173-0003, Japan
| | - Shujiro Okuda
- Department of Bioinformatics, College of Life Sciences, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga 525-8577, Japan
- Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata 951-8510, Japan
| | - Rene Ranzinger
- Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602, USA
| | - Hiromichi Sawaki
- Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba Central-2, Umezono 1-1-1, Tsukuba 305-8568, Japan
| | - Toshihide Shikanai
- Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba Central-2, Umezono 1-1-1, Tsukuba 305-8568, Japan
| | - Daisuke Shinmachi
- Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba Central-2, Umezono 1-1-1, Tsukuba 305-8568, Japan
| | - Yoshinori Suzuki
- Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba Central-2, Umezono 1-1-1, Tsukuba 305-8568, Japan
| | - Philip Toukach
- NMR Laboratory, N.D. Zelinsky Institute of Organic Chemistry, Leninsky prospekt 47, 119991 Moscow, Russia
| | - Issaku Yamada
- Laboratory of Glyco-organic Chemistry, The Noguchi Institute, 1-8-1 Kaga, Itabashi-ku, Tokyo 173-0003, Japan
| | - Nicolle H Packer
- Biomolecular Frontiers Research Centre, Macquarie University, Sydney, New South Wales, Australia
| | - Hisashi Narimatsu
- Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba Central-2, Umezono 1-1-1, Tsukuba 305-8568, Japan
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Aoki-Kinoshita KF, Sawaki H, An HJ, Campbell M, Cao Q, Cummings R, Hsu DK, Kato M, Kawasaki T, Khoo KH, Kim J, Kolarich D, Li X, Liu M, Matsubara M, Okuda S, Packer NH, Ranzinger R, Shen H, Shikanai T, Shinmachi D, Toukach P, Yamada I, Yamaguchi Y, Yang P, Ying W, Yoo JS, Zhang Y, Zhang Y, Narimatsu H. The Fifth ACGG-DB Meeting Report: Towards an International Glycan Structure Repository. Glycobiology 2013. [DOI: 10.1093/glycob/cwt084] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Kolarich D, Rapp E, Struwe WB, Haslam SM, Zaia J, McBride R, Agravat S, Campbell MP, Kato M, Ranzinger R, Kettner C, York WS. The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting mass-spectrometry-based glycoanalytic data. Mol Cell Proteomics 2013; 12:991-5. [PMID: 23378518 DOI: 10.1074/mcp.o112.026492] [Citation(s) in RCA: 89] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The MIRAGE guidelines are being developed in response to a critical need in the glycobiology community to clarify glycoanalytic results so that they are more readily evaluated (in terms of their scope and depth) and to facilitate the reproduction of important results in the laboratory. The molecular and biological complexity of the glycosylation process makes thorough reporting of the results of a glycomics experiment a highly challenging endeavor. The resulting data specify the identity and quantity of complex structures, the precise molecular features of which are sometimes inferred using prior knowledge, such as familiarity with a particular biosynthetic mechanism. Specifying the exact methods and assumptions that were used to assign and quantify reported structures allows the interested scientist to appreciate the scope and depth of the analysis. Mass spectrometry (MS) is the most widely used tool for glycomics experiments. The interpretation and reproducibility of MS-based glycomics data depend on comprehensive meta-data describing the instrumentation, instrument setup, and data acquisition protocols. The MIRAGE guidelines for MS-based glycomics have been designed to facilitate the collection and sharing of this critical information in order to assist the glycoanalyst in generating data sets with maximum information content and biological relevance.
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Affiliation(s)
- Daniel Kolarich
- Department of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14424 Potsdam, Germany
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