Literature DB >> 24349935

Is high throughput glycomics possible?

Carlito B Lebrilla1.   

Abstract

The role of glycosylation and their biological functions whether as free oligosaccharides or glycoconjugates has been made possible by the recent advancements in the analyses of these compounds. The heterogeneity and the large structural diversity have made oligosaccharide analysis significantly more difficult than other biopolymers. The next stage of development is to achieve high throughput analysis. However, the structural elucidation of oligosaccharides remains an extremely difficult task. Recent reports reveal that the diversity of structures in a given biological system is finite and may not be large. It may be possible to create a database of structures that can be used to determine the identity of known compounds. This capability would therefore make high throughput glycomics possible. Achieving this task depends on the proper selection of chemical characteristics to identify the compound. In this presentation, nanoflow liquid chromatography retention times, accurate mass, and tandem MS is used to determine structure with a high degree of certainty. The method is used to determine the biological function of milk oligosaccharides as well as to discover glycan-based biomarkers for diseases.

Entities:  

Keywords:  disease markers; glycans; glycomics; nanoLC

Year:  2013        PMID: 24349935      PMCID: PMC3810447          DOI: 10.5702/massspectrometry.S0016

Source DB:  PubMed          Journal:  Mass Spectrom (Tokyo)        ISSN: 2186-5116


  18 in total

Review 1.  Protein glycosylation: nature, distribution, enzymatic formation, and disease implications of glycopeptide bonds.

Authors:  Robert G Spiro
Journal:  Glycobiology       Date:  2002-04       Impact factor: 4.313

Review 2.  Miniaturized separation techniques in glycomic investigations.

Authors:  Yehia Mechref; Milos V Novotny
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2006-06-19       Impact factor: 3.205

Review 3.  Infrared multiphoton dissociation mass spectrometry for structural elucidation of oligosaccharides.

Authors:  Bensheng Li; Hyun Joo An; Jerry L Hedrick; Carlito B Lebrilla
Journal:  Methods Mol Biol       Date:  2009

4.  Post-translation modifications.

Authors:  Carlito B Lebrilla; Lara K Mahal
Journal:  Curr Opin Chem Biol       Date:  2009-09-03       Impact factor: 8.822

5.  Profiling of glycans in serum for the discovery of potential biomarkers for ovarian cancer.

Authors:  Hyun Joo An; Suzanne Miyamoto; Katherine S Lancaster; Crystal Kirmiz; Bensheng Li; Kit S Lam; Gary S Leiserowitz; Carlito B Lebrilla
Journal:  J Proteome Res       Date:  2006-07       Impact factor: 4.466

6.  Alterations in the serum glycome due to metastatic prostate cancer.

Authors:  Zuzana Kyselova; Yehia Mechref; Mohammad M Al Bataineh; Lacey E Dobrolecki; Robert J Hickey; Jake Vinson; Christopher J Sweeney; Milos V Novotny
Journal:  J Proteome Res       Date:  2007-04-14       Impact factor: 4.466

Review 7.  Glycomics and disease markers.

Authors:  Hyun Joo An; Scott R Kronewitter; Maria Lorna A de Leoz; Carlito B Lebrilla
Journal:  Curr Opin Chem Biol       Date:  2009-09-21       Impact factor: 8.822

8.  Ovarian cancer is associated with changes in glycosylation in both acute-phase proteins and IgG.

Authors:  Radka Saldova; Louise Royle; Catherine M Radcliffe; Umi M Abd Hamid; Rachel Evans; James N Arnold; Rosamonde E Banks; Richard Hutson; David J Harvey; Robin Antrobus; Stefana M Petrescu; Raymond A Dwek; Pauline M Rudd
Journal:  Glycobiology       Date:  2007-09-20       Impact factor: 4.313

9.  Improved capillary electrophoretic separation and mass spectrometric detection of oligosaccharides.

Authors:  Hyun Joo An; Andreas H Franz; Carlito B Lebrilla
Journal:  J Chromatogr A       Date:  2003-07-04       Impact factor: 4.759

Review 10.  Epithelial ovarian cancer: disease etiology, treatment, detection, and investigational gene, metabolite, and protein biomarkers.

Authors:  Taufika Islam Williams; Kristina L Toups; Diana A Saggese; Kimberly R Kalli; William A Cliby; David C Muddiman
Journal:  J Proteome Res       Date:  2007-06-21       Impact factor: 4.466

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  2 in total

1.  Serum N-glycan analysis in breast cancer patients--Relation to tumour biology and clinical outcome.

Authors:  Vilde D Haakensen; Israel Steinfeld; Radka Saldova; Akram Asadi Shehni; Ilona Kifer; Bjørn Naume; Pauline M Rudd; Anne-Lise Børresen-Dale; Zohar Yakhini
Journal:  Mol Oncol       Date:  2015-08-19       Impact factor: 6.603

2.  In a pursuit of optimal glycan fluorescent label for negative MS mode for high-throughput N-glycan analysis.

Authors:  Dinko Šoić; Zvonimir Mlinarić; Gordan Lauc; Olga Gornik; Mislav Novokmet; Toma Keser
Journal:  Front Chem       Date:  2022-10-03       Impact factor: 5.545

  2 in total

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