겨울 심포지움
2018겨울초록
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We have developed GlycoProteomeAnalyzer (GPA) for high throughput identification and quantification of N- and O-glycoproteins. GPA is a program for automatic identification of the glycan compositions and glycopeptide sequences by using four different scoring systems such as M-score for glycopeptide selection from oxonium-ions, S-score for theoretical isotope pattern match of molecular ion, Y-score for glycopeptide identification, and P-score for pinpointing O- and N-glycosylation sites from MS/MS fragmentation methods.
In this study, a glycoprotein mixture was digested by trypsin. Those site-specific N- and O-glycopeptides were enriched by hydrophobic interaction liquid chromatography and analyzed by nano-reversed-phase liquid chromatography coupled to tandem mass spectrometry with HCD, CID and EThcD-MS/MS fragmentation modes. The resultant LC/MS/MS data were automatically analyzed by IQ-GPA.
Here, we present the IQ-GPA Cloud which is a web based GPA application for automatic identification and quantification of site-specific N- and O-glycoproteins. IQ-GPA Cloud is a publicly accessible web application that enables users to quickly provide on-demand infrastructures for high-performance gylcoproteome analysis using cloud platforms. Users have instant access to a glycan database builder as well as N- and O-GPA modules. IQ-GPA Cloud has been designed to easily handle high-throughput glycoproteomic data with graphical user interfaces. Microsoft Azure Cloud provides more than thousands of CPU to increase throughput for data analysis. Therefore, users can use glycoproteome analysis easily through IQ-GPA Cloud without any high-powered computer.
The IQ-GPA Cloud is demonstrated on the website, https://www.igpa.kr/cloud/.
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