DANGO

DANGO automates the annotation of glycolipidomic datasets by processing and annotating mass spectrometry data to characterize both glycan and lipid (ceramide) moieties.

Key Features:

• Dual moiety annotation: DANGO characterizes both glycan and ceramide lipid components of glycosphingolipids from mass spectrometry data.
• Database-driven candidate proposal: DANGO annotates MS datasets using a glycosphingolipid database created from curated or user-defined glycan and ceramide collections, proposing candidate structures matching experimental data.
• Novel filter algorithm: DANGO implements a filter algorithm that reduces false-positive identifications, enhancing reliability and shortening computational time for structural annotation.
• GRITS Toolbox integration: DANGO extends the GRITS Toolbox, employing its display routines for post-processing and organized annotation of data and relevant metadata.

Scientific Applications:

• Glycosphingolipidomics: DANGO enables automated structural annotation of glycosphingolipids, which are essential components of eukaryotic cells involved in growth, cell signaling, survival, differentiation, and disease.
• Membrane biology research: DANGO integrates glycan-centric analytical approaches with dynamic lipid composition changes to support studies of functional membrane characteristics.

Methodology:

DANGO annotates MS datasets using a glycosphingolipid database created from a curated or user-defined glycan and ceramide collection, matches experimental data to propose candidate structures, and implements a novel filter algorithm to reduce false-positive identifications.