gQuant

gQuant automates processing and quantitation of glycans from MALDI-MS data to extract accurate relative abundances for isotope-labeled glycan mixtures.

Key Features:

• Automated Data Processing: Automates spectra pre-processing, exhaustive glycan mapping, and calculation of quantitation ratios for matched glycans from MALDI-MS data.
• Dedicated Algorithms: Implements algorithms tailored and optimized for MALDI-MS-based glycan isotope labeling data to improve processing accuracy.
• High Processing Speed and Accuracy: Demonstrated rapid processing of model glycoprotein datasets and quantitation ratios matching experimental glycan mixture ratios from 1:10 to 10:1.
• Customizability: Configurable to use specific glycan databases, different derivatization types, and relative quantitation designs, including MALDI-MS-based stable isotope labeling for clinical sample analysis.

Scientific Applications:

• Quantitative glycomics: Provides relative quantitation of glycans in MALDI-MS isotope-labeled experiments for glycomics studies.
• Glycoprotein analysis: Enables identification and quantitation of glycans to characterize glycosylation patterns on glycoproteins.
• Clinical sample quantitation: Supports relative quantitation workflows for clinical samples using MALDI-MS-based stable isotope labeling.
• High-throughput glycan profiling: Processes large glycan datasets and complex mixtures for comparative and mixture-ratio studies.

Methodology:

Spectra pre-processing, exhaustive glycan mapping algorithms, and calculation of quantitation ratios for matched glycans, with algorithms applied to MALDI-MS-based glycan isotope/stable isotope labeling data.