Cited by 1,628

The DOI matches its Crossref record.

Update of the LIPID MAPS comprehensive classification system for lipids

Fahy, Eoin, Subramaniam, Shankar, Murphy, Robert C., Nishijima, Masahiro, Raetz, Christian R.H., Shimizu, Takao, Spener, Friedrich, van Meer, Gerrit, Wakelam, Michael J.O., Dennis, Edward A.·2009·Journal of Lipid Research

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1194/jlr.r800095-jlr200

Cites

Statistics

Figures

Image 1
From the PDF
1-(9Z-octadecenoyl)-2-octadecanoyl-3-hexadecanoyl-sn-glycerol TG(18:1/18:0/16:0) (Glycerolipids)
1-(9Z-octadecenoyl)-2-octadecanoyl-3-hexadecanoyl-sn-glycerol TG(18:1/18:0/16:0) (Glycerolipids)From the PDF
Fig. 1 Examples of the computationally drawn structures with systematic name, abbreviation, and lipid category illustrating the stereochemical relationship between glycerolipids, glycerophospholipids, and sphingolipids and allowing one to visualize transformations between their components.
Fig. 1 Examples of the computationally drawn structures with systematic name, abbreviation, and lipid category illustrating the stereochemical relationship between glycerolipids, glycerophospholipids, and sphingolipids and allowing one to visualize transformations between their components.From the PDF

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 14

  1. Fahy, 2005, A comprehensive classification system for lipids, J. Lipid Res., 46, 839, 10.1194/jlr.E400004-JLR200 · DOI · Paper page
  2. Schmelzer, 2007, The lipid maps initiative in lipidomics, Methods Enzymol., 432, 171, 10.1016/S0076-6879(07)32007-7 · DOI
  3. 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
  4. 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
  5. 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
  6. Fahy, 2007, LIPID MAPS online tools for lipid research, Nucleic Acids Res., 35, W606, 10.1093/nar/gkm324 · DOI
  7. Sud, 2007, LMSD: LIPID MAPS structure database, Nucleic Acids Res., 35, D527, 10.1093/nar/gkl838 · DOI
  8. Fahy, 2007, Bioinformatics for lipidomics, Methods Enzymol., 432, 247, 10.1016/S0076-6879(07)32011-9 · DOI
  9. Dembitsky, 2004, Astonishing diversity of natural surfactants: 1. Glycosides of fatty acids and alcohols, Lipids., 39, 933, 10.1007/s11745-004-1316-1 · DOI
  10. Dembitsky, 2004, Chemistry and biodiversity of the biologically active natural glycosides, Chem. Biodivers., 1, 673, 10.1002/cbdv.200490060 · DOI
  11. 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
  12. Kanazawa, 2001, Sterols in marine invertebrates, Fish. Sci., 67, 997, 10.1046/j.1444-2906.2001.00354.x · DOI
  13. 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
  14. 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

Cited by

Sorted by citations

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review