Lipid Profiling
Lipid profiling measures lipid species across biological systems, revealing membrane composition, metabolic activity, inflammatory signaling, disease-associated lipid signatures, and systems-level lipid regulation.
Research Overview
Lipid profiling is a foundational approach in lipidomics. It measures diverse lipid species such as phospholipids, sphingolipids, glycerolipids, sterols, fatty acids, and lipid mediators to understand cellular structure, metabolism, signaling, and disease biology.
At PanorOmics, lipid profiling is presented as a core lipidomics research area: the starting point for membrane biology, metabolic regulation, inflammation signaling, disease biomarker discovery, and multi-omics systems interpretation.
Core Research Areas
Lipid Class Profiling
Measuring major lipid classes such as phospholipids, sphingolipids, glycerolipids, sterols, and fatty acids across biological samples.
Quantitative Lipidomics
Quantifying lipid abundance to compare biological states, disease conditions, treatments, and metabolic responses.
Lipid Signature Discovery
Identifying lipid patterns associated with disease biology, cellular function, inflammation, metabolism, and therapeutic response.
Multi-omics Lipid Integration
Combining lipidomics with genomics, transcriptomics, proteomics, metabolomics, and clinical data to interpret biological systems.
Lipid Profiling Technologies
LC-MS / MS Lipidomics
High-sensitivity liquid chromatography mass spectrometry used to detect and quantify diverse lipid species.
Shotgun Lipidomics
Direct-infusion mass spectrometry approach used for rapid, broad lipid profiling across biological samples.
Targeted Lipidomics
Focused quantification of selected lipid classes, pathways, or lipid mediators for validation and hypothesis-driven studies.
Ion Mobility Mass Spectrometry
Analytical technology that helps separate lipid species and improve structural interpretation.
AI-Assisted Lipid Annotation
Computational approaches that support lipid identification, spectral interpretation, pattern discovery, and biological classification.
Lipid Profiling Modalities
Global Lipid Profiling
Broad profiling of lipid species to characterize lipid composition, metabolic state, and biological variation.
Phospholipid Profiling
Measures membrane-associated lipids involved in structure, signaling, and cellular compartment organization.
Sphingolipid Profiling
Studies sphingolipids involved in membrane biology, apoptosis, inflammation, and disease signaling.
Neutral Lipid Profiling
Analyzes triglycerides, cholesteryl esters, and storage lipids involved in energy balance and metabolic regulation.
Lipid Mediator Profiling
Measures bioactive lipid molecules involved in inflammation, immune regulation, and tissue response.
Clinical Lipid Signatures
Identifies lipid patterns associated with disease risk, prognosis, treatment response, and precision medicine research.
Related lipidomic approaches such as inflammation signaling, membrane biology, and metabolic regulation are explored across the Lipidomics Research Center.
Landmark Lipid Profiling Milestones
Lipid Biochemistry Foundations
Early lipid chemistry established major lipid classes and their roles in membranes, energy storage, and cellular physiology.
Membrane Lipid Biology
Research on membrane structure and lipid composition connected lipids to cellular organization, signaling, and biological function.
Lipidomics Era Emerges
Advances in mass spectrometry expanded lipid research from individual molecules to system-wide lipid profiling.
Mass Spectrometry Lipid Profiling
LC-MS/MS and shotgun lipidomics enabled large-scale detection and quantification of diverse lipid species.
Clinical and Disease Lipidomics
Lipid profiling increasingly supports research into metabolic disease, cancer, cardiovascular disease, inflammation, and neurobiology.
Multi-omics Lipid Integration
Integrated omics approaches connect lipid profiles with genes, transcripts, proteins, metabolites, pathways, and clinical phenotypes.
AI-Assisted Lipid Profiling
AI increasingly supports lipid annotation, lipid signature discovery, disease classification, and systems-level lipidomics interpretation.
Featured Publications
Lipidomics: Systems-Level Analysis of Lipids
Shotgun Lipidomics
Mass Spectrometry-Based Lipidomics
LIPID MAPS and Lipid Classification
Clinical Lipidomics and Disease Signatures
Computational Lipidomics and Lipid Annotation
Continue Your Research Journey
Inflammation Signaling →
Continue exploring the Lipidomics Research Center.
Membrane Biology →
Continue exploring the Lipidomics Research Center.
Metabolic Regulation →
Continue exploring the Lipidomics Research Center.