Glycomics is rapidly emerging as a new paradigm for biomarker discovery. Diseases as diverse as infection and cancer are known to involve changes in glycosylation. Glycans on cell surfaces are important for understanding nearly all cell surface interactions. They are key targets for drugs and may yield cell-specific therapeutics. In addition, they are also shed and can give indications of the changes in glycosylation associated with the disease. The study of glycosylation of cell surfaces is still in its infancy. The majority of the research has employed fluorescently labeled lectins providing few structural details. In this proposal, we will develop techniques to study surface glycans by using methods that release them specifically and examine them with high sensitivity. In the process, we will develop comprehensive methods to determine glycan structures and micoheterogeneity. To achieve these tasks, we will develop a high throughput method for glycomics analysis that will rapidly identify glycan structures. This goal would have seemed impossible given the complexity and the heterogeneity of glycan structures. However, we will develop a method with a constructed database at its core that will serve as template with descriptors including liquid chromatography retention time, accurate mass, and tandem mass spectrometry to identify individual glycan (or oligosaccharide) structures. The creation of this database will form the kernel of a comprehensive database will allow routine analysis of oligosaccharide possible. The development of methods for the rapid identification will significantly advance glycobiology research. Additionally, the analysis of glycans by liquid chromatography will provide a new method for biomarker discovery by allowing the analysis of structural isomers thereby increasing the richness of the compound pool.

Public Health Relevance

A method for the deep structural analysis of glycans on cell surface will be developed that will allow differentiation of specific cancer types based on their glycan profile. This research will lead to potentially new biomarkers for cancer-specific therapeutics.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM049077-20
Application #
8608532
Study Section
Enabling Bioanalytical and Imaging Technologies Study Section (EBIT)
Program Officer
Edmonds, Charles G
Project Start
1993-05-01
Project End
2016-01-31
Budget Start
2014-02-01
Budget End
2015-01-31
Support Year
20
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of California Davis
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
City
Davis
State
CA
Country
United States
Zip Code
95618
Park, Diane Dayoung; Xu, Gege; Wong, Maurice et al. (2018) Membrane glycomics reveal heterogeneity and quantitative distribution of cell surface sialylation. Chem Sci 9:6271-6285
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Kailemia, Muchena J; Wei, Wanghui; Nguyen, Khoa et al. (2018) Targeted Measurements of O- and N-Glycopeptides Show That Proteins in High Density Lipoprotein Particles Are Enriched with Specific Glycosylation Compared to Plasma. J Proteome Res 17:834-845
Wong, Maurice; Xu, Gege; Park, Dayoung et al. (2018) Intact glycosphingolipidomic analysis of the cell membrane during differentiation yields extensive glycan and lipid changes. Sci Rep 8:10993
Song, Ting; Chen, Peng; Stroble, Carol et al. (2018) Serum glycosylation characterization of osteonecrosis of the femoral head by mass spectrometry. Eur J Mass Spectrom (Chichester) 24:178-187
Phoomak, Chatchai; Silsirivanit, Atit; Park, Dayoung et al. (2018) O-GlcNAcylation mediates metastasis of cholangiocarcinoma through FOXO3 and MAN1A1. Oncogene 37:5648-5665
Miyamoto, Suzanne; Stroble, Carol D; Taylor, Sandra et al. (2018) Multiple Reaction Monitoring for the Quantitation of Serum Protein Glycosylation Profiles: Application to Ovarian Cancer. J Proteome Res 17:222-233
Krishnan, Sridevi; Shimoda, Michiko; Sacchi, Romina et al. (2017) HDL Glycoprotein Composition and Site-Specific Glycosylation Differentiates Between Clinical Groups and Affects IL-6 Secretion in Lipopolysaccharide-Stimulated Monocytes. Sci Rep 7:43728

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