lipidomics
lipidomics standardizes and integrates methodologies and resources to enable comprehensive analysis of lipid species and their application as biomarkers in precision medicine.
Key Features:
- Standardization: The Lipidomics Standards Initiative (LSI) establishes standardized lipidomics methodologies to ensure consistency and reliability across studies.
- Analytical support: Accommodates data generated by liquid chromatography-mass spectrometry (LCMS), gas chromatography-mass spectrometry (GCMS), and high-resolution mass spectrometry.
- Resource suite: Provides lipid databases, drawing tools, data deposition platforms, and informatics tools for lipidomic research.
- LipidWeb: The LipidWeb functions as a comprehensive encyclopedia of lipid biochemistry.
- Integration with LIPID MAPS: Complements LIPID MAPS to facilitate mapping of regulatory biochemical pathways at the systems level.
- Lipidome quantification: Enables quantification of thousands of individual lipids for detailed characterization of the lipidome.
Scientific Applications:
- Biomarker discovery: Facilitates use of lipids as unique biomarkers and prognostic indicators in precision medicine.
- Clinical translation: Supports integration of lipidomic data into clinical research and practice for disease prevention, diagnosis, and stratification.
- Systems biology: Enables mapping of regulatory biochemical pathways at the systems level.
- Lipid dynamics studies: Enables investigation of lipid changes influenced by genetics, diet, age, lifestyle, drugs, disease, and inflammation.
- Comprehensive lipid analysis: Permits large-scale quantification and characterization of individual lipid species for metabolic and structural studies.
Methodology:
No computational methods or specific algorithms are specified in the provided description.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/9/2020
- Last Updated:
- 12/22/2020
Operations
Publications
O'Donnell VB, Ekroos K, Liebisch G, Wakelam M. Lipidomics: Current state of the art in a fast moving field. WIREs Systems Biology and Medicine. 2019;12(1). doi:10.1002/wsbm.1466. PMID:31646749.