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LIPID MAPS: Tools and Databases

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Encyclopedia of Lipidomics

The Lipid Metabolites and Pathways Strategy (LIPID MAPS) initiative is a consortium intended to acquire an in-depth knowledge of lipid structure and function which was initiated in 2003 by a U.S. National Institute of General Medical Sciences Large Scale Collaborations “Glue” grant. As such, the consortium works on various solutions arising in the analysis of lipids. The core of LIPID MAPS is formed by a comprehensive classification system for lipids (Fahy et al. 2005, 2009) which was developed by the International Lipids Classification and Nomenclature Committee (ILCNC). LIPID MAPS chose a chemistry-based approach where lipid species are classified into eight categories (fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, sterol lipids, prenol lipids, saccharolipids, and polyketides), subsequent classes, and subclasses. The assignment to these categories/classes is reflected in the LIPID MAPS identifier (LM ID) which consists of a 12-character representation, where the...

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Abbreviations

MS:

mass spectrometry

m/z:

mass to charge ratio

LIPID MAPS:

Lipid Metabolites and Pathways Strategy; i.e. a consortium intended to acquire in-depth knowledge of lipid structure and function

ILCNC:

International Lipids Classification and Nomenclature Committee

PubChem:

database of chemical molecules and their activities

PubChem SID:

PubChem substance identification number

LM ID:

LIPID MAPS identifier

PHP:

a server-side scripting language

InChi:

International Chemical Identifier, i.e. an identifier for chemical substances

KEGG:

Kyoto Encyclopedia of Genes and Genomes

HMDB:

Human Metabolome Database, i.e. a database containing information about small molecules and metabolites found in the human body

YMDB:

Yeast Metabolome Database, i.e. a database containing information about small molecules and metabolites found in Baker’s yeast

ChEBI:

Chemical Entities of Biological Interest, i.e. a database and ontology for small molecules

GO:

Gene Ontology, i.e. an initiative to provide a uniform ontology for genes and gene products

EC number:

Enzyme Commission number

InterPro:

database for protein families and domains

PRINTS:

a database containing protein fingerprints, i.e. a group of conserved motifs

Pfam:

a database for protein families including their annotations

SMART:

Simple Modular Architecture Research Tool, i.e. a database for protein domains

Swiss-Prot:

manually annotated and reviewed protein sequence database

VANTED:

Visualization and Analysis of Networks containing Experimental Data, i.e. a network visualization tool

References

  • Byrnes RW, Cotter D, Maer A, Li J, Nadeau D, Subramaniam S. An editor for pathway drawing and data visualization in the Biopathways Workbench. BMC Syst Biol. 2009;3:99. doi:10.1186/1752-0509-3-99.

    Article  PubMed  PubMed Central  Google Scholar 

  • Cotter D, Maer A, Guda C, Saunders B, Subramaniam S. LMPD: LIPID MAPS proteome database. Nucleic Acids Res. 2006;34(Database issue):D507–10. doi:10.1093/nar/gkj122.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  • Fahy E, Cotter D, Sud M, Subramaniam S. Lipid classification, structures and tools. Biochim Biophys Acta. 2011;1811(11):637–47. doi:10.1016/j.bbalip.2011.06.009.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  • Fahy E, Subramaniam S, Brown HA, Glass CK, Merrill Jr AH, Murphy RC, Raetz CR, Russell DW, Seyama Y, Shaw W, Shimizu T, Spener F, van Meer G, VanNieuwenhze MS, White SH, Witztum JL, Dennis EA. A comprehensive classification system for lipids. J Lipid Res. 2005;46(5):839–61. doi:10.1194/jlr.E400004-JLR200.

    Article  PubMed  CAS  Google Scholar 

  • Fahy E, Subramaniam S, Murphy RC, Nishijima M, Raetz CR, Shimizu T, Spener F, van Meer G, Wakelam MJ, Dennis EA. Update of the LIPID MAPS comprehensive classification system for lipids. J Lipid Res. 2009;50(Suppl):S9–14. doi:10.1194/jlr.R800095-JLR200.

    PubMed  PubMed Central  Google Scholar 

  • Fahy E, Sud M, Cotter D, Subramaniam S. LIPID MAPS online tools for lipid research. Nucleic Acids Res. 2007;35(Web Server issue):W606–12. doi:10.1093/nar/gkm324.

    Article  PubMed  PubMed Central  Google Scholar 

  • Junker BH, Klukas C, Schreiber F. VANTED: a system for advanced data analysis and visualization in the context of biological networks. BMC Bioinformatics. 2006;7:109. doi:10.1186/1471-2105-7-109.

    Article  PubMed  PubMed Central  Google Scholar 

  • Sud M, Fahy E, Cotter D, Brown A, Dennis EA, Glass CK, Merrill Jr AH, Murphy RC, Raetz CR, Russell DW, Subramaniam S. LMSD: LIPID MAPS structure database. Nucleic Acids Res. 2007;35(Database issue):D527–32. doi:10.1093/nar/gkl838.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

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Correspondence to Jürgen Hartler .

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© 2015 Springer Science+Business Media Dordrecht

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Hartler, J. (2015). LIPID MAPS: Tools and Databases. In: Wenk, M. (eds) Encyclopedia of Lipidomics. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7864-1_11-1

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  • DOI: https://doi.org/10.1007/978-94-007-7864-1_11-1

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