GlycoDash

GlycoDash streamlines automated curation of label-free high-throughput glycoproteomics datasets by incorporating measurement and metadata linking, spectral and analyte curation, normalization, repeatability assessment, glycosylation trait calculation, data visualization, and FAIR-compliant reporting.

Key Features:

• Measurement and Metadata Linking: Links measurements with metadata to integrate sample information into the analysis workflow.
• Spectral Curation: Evaluates and filters whole measurement signals of insufficient quality for quantitation.
• Analyte Curation: Filters individual analyte signals that do not meet quality thresholds for reliable quantitation.
• Normalization: Applies normalization methods to correct for technical variation across samples.
• Repeatability Assessment: Assesses repeatability to ensure data reliability and consistency.
• Glycosylation Trait Calculation: Computes derived glycosylation traits from curated glycopeptide quantitation data.
• Data Visualization: Provides interactive visualizations for exploration of glycoproteomics datasets.
• FAIR-Compliant Reporting: Generates reports that adhere to FAIR (Findable, Accessible, Interoperable, Reusable) principles.

Scientific Applications:

• Monoclonal Antibody Glycosylation Analysis: Processes relatively simple monoclonal antibody glycosylation datasets for quality-controlled quantitation.
• Antigen-Specific Antibody Glycosylation: Supports increasingly complex analyses such as antigen-specific antibody glycosylation profiling.
• Clinical Cohort Glycoproteomics: Enables curation of large clinical cohorts with over a thousand measurements for biomarker and clinical research.
• High-Throughput Glycoproteomics: Facilitates rapid curation of large, diverse, and complex glycoproteomics datasets in a matter of hours.

Methodology:

GlycoDash operates on glycomics data obtained from LaCyTools, SweetSuite, and Skyline, processing analytes after initial identification and quantification at the MS1 level from liquid chromatography-mass spectrometry (LC-MS) data.