BioPAN

BioPAN analyzes mammalian lipidomics datasets to map quantitative, mass spectrometry–derived lipid molecular species onto biosynthetic metabolic pathways and identify candidate enzymes and genes using LIPID MAPS resources.

Key Features:

• Pathway mapping: Maps quantitative lipid molecular species onto known biosynthetic metabolic pathways to contextualize lipid changes.
• LIPID MAPS integration: Leverages LIPID MAPS pathway annotations and resources to link lipid species with metabolic reactions and enzymes.
• Mass spectrometry–compatible input: Processes quantitative lipidomics datasets derived from mass spectrometry that quantify thousands of lipid molecular species across multiple categories.
• Enzyme/gene inference: Identifies potential genes and enzymes implicated in activation or suppression of lipid metabolic reactions.
• Pathway-level visualization: Visualizes quantitative lipidomics data within the framework of biosynthetic pathways to highlight regulated reactions.
• Tissue-level analysis: Supports analysis of lipid metabolism regulation across mammalian tissues.

Scientific Applications:

• Interpretation of large-scale lipidomics: Interprets complex, high-dimensional mass spectrometry lipidomics datasets by placing changes in the context of metabolic pathways.
• Identification of regulatory genes/enzymes: Generates hypotheses about genes and enzymes that activate or suppress specific lipid metabolic reactions.
• Comparative tissue lipidomics: Compares pathway-level lipid metabolic changes across mammalian tissues.
• Linking lipid changes to biosynthesis: Maps alterations in lipid molecular species to specific biosynthetic reactions and pathways.

Methodology:

Maps quantitative mass spectrometry lipidomics data onto LIPID MAPS biosynthetic pathway annotations and performs pathway-level analysis to infer candidate enzyme and gene regulation across mammalian tissues.