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Update of the LIPID MAPS comprehensive classification system for lipids
Abstract
In 2005, the International Lipid Classification and Nomenclature Committee under the sponsorship of the LIPID MAPS Consortium developed and established a "Comprehensive Classification System for Lipids" based on well-defined chemical and biochemical principles and using an ontology that is extensible, flexible, and scalable. This classification system, which is compatible with contemporary databasing and informatics needs, has now been accepted internationally and widely adopted. In response to considerable attention and requests from lipid researchers from around the globe and in a variety of fields, the comprehensive classification system has undergone significant revisions over the last few years to more fully represent lipid structures from a wider variety of sources and to provide additional levels of detail as necessary. The details of this classification system are reviewed and updated and are presented here, along with revisions to its suggested nomenclature and structure-drawing recommendations for lipids.
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“has undertaken the task of analyzing the NIDDK/ NIST SRM by systematically identifying and quantifying the lipid molecular species of the mammalian lipidome ( 5,6 ).”
From Lipidomics reveals a remarkable diversity of lipids in human plasma (2010) · cites this paper as [6]
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- Fahy, 2005, A comprehensive classification system for lipids, J. Lipid Res., 46, 839, 10.1194/jlr.E400004-JLR200 · DOI · Paper page
- Schmelzer, 2007, The lipid maps initiative in lipidomics, Methods Enzymol., 432, 171, 10.1016/S0076-6879(07)32007-7 · DOI
- Norman, 1996, Semi-preparative isolation of plant sulfoquinovosyldiacylglycerols by solid phase extraction and HPLC procedures, J. Lipid Res., 37, 1372, 10.1016/S0022-2275(20)39167-7 · DOI
- I. U. P. A. C-I. U. B. Joint Commission on Biochemical Nomenclature (JCBN). Nomenclature of prenols. (Recommendations 1987) 1987. Eur. J. Biochem. 167: 181–184. (http://www.chem.qmul.ac.uk/iupac/misc/prenol.html) · DOI
- I. U. P. A. C-I. U. B. Joint Commission on Biochemical Nomenclature (JCBN). Nomenclature of steroids (Recommendations 1989) 1989. Eur. J. Biochem. 186: 429–458. (http://www.chem.qmul.ac.uk/iupac/steroid/). · DOI
- Fahy, 2007, LIPID MAPS online tools for lipid research, Nucleic Acids Res., 35, W606, 10.1093/nar/gkm324 · DOI
- Sud, 2007, LMSD: LIPID MAPS structure database, Nucleic Acids Res., 35, D527, 10.1093/nar/gkl838 · DOI
- Fahy, 2007, Bioinformatics for lipidomics, Methods Enzymol., 432, 247, 10.1016/S0076-6879(07)32011-9 · DOI
- Dembitsky, 2004, Astonishing diversity of natural surfactants: 1. Glycosides of fatty acids and alcohols, Lipids., 39, 933, 10.1007/s11745-004-1316-1 · DOI
- Dembitsky, 2004, Chemistry and biodiversity of the biologically active natural glycosides, Chem. Biodivers., 1, 673, 10.1002/cbdv.200490060 · DOI
- Boumann, 2006, Ladderane phospholipids in anammox bacteria comprise phosphocholine and phosphoethanolamine headgroups, FEMS Microbiol. Lett., 258, 297, 10.1111/j.1574-6968.2006.00233.x · DOI
- Kanazawa, 2001, Sterols in marine invertebrates, Fish. Sci., 67, 997, 10.1046/j.1444-2906.2001.00354.x · DOI
- Moreau, 2002, Phytosterols, phytostanols, and their conjugates in foods: structural diversity, quantitative analysis, and health-promoting uses, Prog. Lipid Res., 41, 457, 10.1016/S0163-7827(02)00006-1 · DOI
- King, 1988, 2,3-di-O- and 1,2,3-tri-O-acylated glucose esters from the glandular trichomes of Datura metel, Phytochemistry., 27, 3761, 10.1016/0031-9422(88)83013-9 · DOI
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Lipidomics reveals a remarkable diversity of lipids in human plasma
Quehenberger, O., Armando, A. M., Brown, A. H., Milne, S. B., Myers, D. S., Merrill, A. H., Bandyopadhyay, S., Jones, K. N., Kelly, S., Shaner, R. L., et al. (2010) · Journal of Lipid Research · doi:10.1194/jlr.m009449 · Cited by 1,341
Self-citationIdentification of bioactive metabolites using activity metabolomics
Rinschen, M. M., Ivanisevic, J., Giera, M., & Siuzdak, G. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0108-4 · Cited by 1,008
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Metadata
- Authors
- Fahy, E., Subramaniam, S., Murphy, R. C., Nishijima, M., Raetz, C. R. H., Shimizu, T., Spener, F., van Meer, G., Wakelam, M. J. O., & Dennis, E. A.
- Venue
- Journal of Lipid Research
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 50
- Pages
- S9-S14
- ISSN
- 0022-2275
- Cited by
- 1,628
- References
- 0
- Language
- en
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