LipidOne 2.2

LipidOne 2.2 performs comprehensive analysis of lipidomic datasets to identify lipid biomarkers, characterize lipids at three structural levels (classes, molecular species, and building blocks including acyl, alkyl, or alkenes chains), and quantify lipid pathway activity.

Key Features:

• Structural Level Exploration: Analyzes lipids at three structural levels—classes, molecular species, and lipid building blocks including acyl, alkyl, or alkenes chains.
• Flexible Analysis Options: Permits inclusion or exclusion of experimental groups and lipid classes at any stage of the analysis.
• Statistical Analyses: Implements mono- and multivariate statistical analyses and a lipid biomarker identification function that integrates four statistical parameters.
• Lipid Pathway Analysis: Performs case–control comparisons to identify lipid-involved reactions and generates lists of genes and enzymes with activation states quantified using Z scores.

Scientific Applications:

• Lipidomics research: Supports comprehensive structural characterization and comparative analysis of lipidomic datasets.
• Lipid biomarker identification: Enables discovery of candidate lipid biomarkers using integrated statistical parameters.
• Metabolic pathway analysis: Facilitates elucidation of lipid metabolic pathways and reaction-level interpretation with gene/enzyme activation-state reporting.
• Disease biomarker discovery: Enables identification of lipid changes associated with disease states.
• Nutritional studies: Supports analysis of lipidomic responses to dietary or nutritional interventions.
• Pharmacological research: Supports investigation of lipid metabolism perturbations in response to pharmacological treatments.

Methodology:

Dataset preparation via Basic Protocol 1; lipid nomenclature guidance provided by the Support Protocol based on spectrometric experiments; dataset upload and mining performed via Basic Protocols 2 and 3.