LIPID MAPS
Summary¶
LIPID MAPS is a community infrastructure for representing, identifying, interpreting, and sharing lipids. Its integrated classification and shorthand standards, curated structure and proteome databases, mass-spectrometry resources, pathway tools, programmatic interfaces, and training material support workflows from spectral annotation through systems-level interpretation [1–6].
Scope¶
The project began in 2003 as a multi-institutional effort to standardize lipid classification and organize lipid experimental data. It subsequently developed into a public resource spanning nomenclature, databases, structure drawing, mass-spectrometry search, pathway analysis, software selection, educational material, and community curation [1,3,5].
The resource became an ELIXIR-UK data resource in 2020 and an ELIXIR Core Data Resource and Deposition Database in 2024. The 2026 update reported more than 182,000 users and 4.1 million page views during 2025, showing its role as shared infrastructure rather than a single database or software package [3,6].
Core Components¶
| Component | Role |
|---|---|
| Lipid classification and shorthand notation | Represents lipid class and the level of structural detail actually established by an assay [1,2]. |
| LIPID MAPS Structure Database | Curates biologically relevant lipid structures, identifiers, classifications, provenance, reactions, and cross-database links [3]. |
| LIPID MAPS Proteome Database | Connects lipid-associated proteins and genes to enzymes, pathways, and lipid classes [3]. |
| Structure and MS tools | Generate standardized structures and names and search candidate structures from precursor/product-ion measurements [4]. |
| BioPAN | Maps quantitative lipidomic changes onto mammalian biosynthetic reactions and candidate enzymes [3]. |
| Lipidomics Tools Guide | Routes analysts to open tools for the major stages of a lipidomics workflow [3]. |
Database and Interoperability Evolution¶
Early LIPID MAPS systems used the hierarchy embedded in an LM identifier to organize structures. The 2024 resource changed identifier handling so reclassification no longer changes an identifier; consequently, an LM identifier should now be treated as persistent rather than decoded as a permanently valid classification statement [1,3].
The platform added literature provenance, NCBI taxonomy, cross-references to ChEBI, PubChem, and PDBe, reaction links from resources including WikiPathways, Rhea, and Reactome, downloadable data, a REST API, and a SPARQL endpoint. These changes allow lipid records to participate in federated and pathway-aware analyses [3].
By 2026 the resource reported 50,000 curated structures in LMSD, a Partial Spectra Database with more than 450 expert-curated spectra, about 1,800 downloadable oxylipin and sterol spectra in its Standards Spectra Database, and a Shorthand Database with stable identifiers for incompletely resolved lipid species [6].
Analytical Principle¶
LIPID MAPS separates what a molecule could be from what an experiment has demonstrated. A precursor mass may support a sum-composition or species-level annotation, while chain composition, double-bond position, functional-group location, and stereochemistry require progressively more discriminating measurements [2]. This distinction is central to the resource's database searches and avoids returning a fully specified structure from evidence that only supports a bulk composition.
Citations¶
[1] Fahy et al. 2009. Update of the LIPID MAPS comprehensive classification system for lipids. Supports: Project history, eight-category classification, LM identifiers, and early database integration. Location: Abstract; Classification Updates; Lipid Database Updates; Discussion.
[2] Liebisch et al. 2020. Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structures. Supports: Evidence-matched hierarchical shorthand and experimental requirements for structural annotation. Location: Experimental Prerequisites; Hierarchical Concept; Discussion and Conclusions.
[3] Conroy et al. 2024. LIPID MAPS: update to databases and tools for the lipidomics community. Supports: Current database scope, persistent identifiers, taxonomy/provenance, reactions, APIs, SPARQL, tools, and ELIXIR history. Location: Introduction; Databases; Programmatic Access; Education and Outreach.
[4] Fahy et al. 2007. LIPID MAPS online tools for lipid research. Supports: Structure-drawing architecture, standardized abbreviation processing, and MS prediction tools. Location: Description and Implementation; User Interfaces; Summary.
[5] O'Donnell et al. 2019. LIPID MAPS: Serving the next generation of lipid researchers with tools, resources, data, and training. Supports: The resource's transition into an integrated database, tool, standards, and training platform. Location: Main text.
[6] Cockayne et al. 2026. LIPID MAPS: Powering discovery in lipidomics. Supports: 2024–2026 infrastructure status, usage, curated structure and spectra counts, enhanced-fragmentation resources, and Shorthand DB. Location: Main text; Figure 1.