LipMat

LipMat performs automated phospholipidomic analysis from LC-MS/MS and ^31P NMR data using Matlab scripts to quantify phospholipids (PC, PE, SMs, CL, PI, PG, PS) and characterize fatty-acyl chain composition.

Key Features:

• Automated analysis: Automates LC-MS/MS phospholipid data processing via Matlab scripts for reproducible computational analysis.
• Complementary techniques: Integrates ^31P NMR data with LC-MS/MS results to combine relative phospholipid quantitation and fatty-acyl profiling.
• Lipid quantification: Quantifies major phospholipids PC, PE, SMs, CL, PI, PG, and PS in cellular samples.
• Fatty acid composition analysis: Determines fatty-acyl chain composition and relative abundances within each phospholipid class from LC-MS/MS data.
• Proteomics integration: Complements existing proteomics databases and protocols for integrated lipid–protein studies.

Scientific Applications:

• Membrane biology: Applied to studies of biological membranes where phospholipid composition influences membrane properties.
• Neurodegenerative disease research: Used in Parkinson's disease studies to examine lipid interactions that may affect α-synuclein oligomerisation and fibrillation.
• Cellular model analysis: Applied to whole-cell and plasma membrane lipid isolates of SH-SY5Y neuroblastoma cells for model-system phospholipid profiling.

Methodology:

Matlab scripts process ^31P NMR data to determine relative phospholipid quantities and LC-MS/MS data to evaluate fatty-acyl chain composition and their abundances within each phospholipid group.