LipidIMMS

LipidIMMS analyzes ion mobility-mass spectrometry (IM-MS) data to identify and characterize lipid species in untargeted lipidomics by integrating MS1 mass-to-charge (m/z), retention time (RT), collision cross section (CCS), and MS/MS spectra.

Key Features:

• Four-Dimensional Data Integration: Integrates MS1 mass-to-charge (m/z), retention time (RT), collision cross section (CCS), and tandem mass spectrometry (MS/MS) spectra from IM-MS for lipid characterization.
• Comprehensive Data Processing Workflow: Combines the four dimensions to provide unambiguous lipid identifications in complex untargeted lipidomics datasets.
• Compatibility with LC and Data-Independent Tandem MS: Processes IM-MS data acquired with liquid chromatography and data-independent tandem MS techniques to enrich multidimensional lipid information.

Scientific Applications:

• Lipid Species Profiling: Characterizes lipid species diversity within biological systems using multidimensional IM-MS data.
• Metabolic and Disease Research: Investigates lipid metabolism and its role in health and disease through accurate lipid identification.
• Biomarker Discovery: Supports discovery of lipid-based biomarkers by providing precise identifications from untargeted lipidomics data.

Methodology:

Processes IM-MS data acquired with liquid chromatography and data-independent tandem MS techniques by integrating MS1 m/z, retention time (RT), collision cross section (CCS), and MS/MS spectra through its data processing workflow for lipid identification.