GLYCOPROTEIN GLYCOMICS: EXPRESSION IN MOUSE ES CELLS & PROGENY

糖蛋白糖组学：小鼠 ES 细胞中的表达

• 批准号: 8363005
• 负责人: RON ORLANDO
• 金额: $ 6.02万
• 依托单位: UNIVERSITY OF GEORGIA
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-06-01 至 2012-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8363005
• 关键词: Affinity Chromatography; Bioinformatics; Cataloging; Catalogs; Cells; Data; Embryo; Fractionation; Funding; Glycopeptides; Glycoproteins; Grant; Lectin; Link; Liquid Chromatography; Mass Spectrum Analysis; Mus; National Center for Research Resources; Peptide N-Glycosidase; Peptides; Polysaccharides; Principal Investigator; Research; Research Infrastructure; Resources; Source; Staging; Stem cells; Technology; United States National Institutes of Health; cost; embryonic stem cell; liquid chromatography mass spectrometry; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Core 2A is developing tools to analyze the Glycoprotein Glycome of cells, including embryonic mouse stem cells and their differentiated products. Fractionation of tryptic glycopeptides using serial lectin affinity chromatography is being developed to classify expression by the types of glycans expressed. Separation of glycopeptides is then further accomplished by liquid chromatography, followed by mass spectrometry to catalog and identify various species. At various stages, N-linked glycans will be produced by N-glycanase treatment. The resulting peptides will be identified by their Asn to Asp conversion using LC/MS analysis. All results will be submitted to the Bioinformatics module (Core project 4) for integration with other data.

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