The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A comprehensive classification system for lipids
Open accessAbstract
Lipids are produced, transported, and recognized by the concerted actions of numerous enzymes, binding proteins, and receptors. A comprehensive analysis of lipid molecules, “lipidomics,” in the context of genomics and proteomics is crucial to understanding cellular physiology and pathology; consequently, lipid biology has become a major research target of the postgenomic revolution and systems biology. To facilitate international communication about lipids, a comprehensive classification of lipids with a common platform that is compatible with informatics requirements has been developed to deal with the massive amounts of data that will be generated by our lipid community. As an initial step in this development, we divide lipids into eight categories (fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, sterol lipids, prenol lipids, saccharolipids, and polyketides) containing distinct classes and subclasses of molecules, devise a common manner of representing the chemical structures of individual lipids and their derivatives, and provide a 12 digit identifier for each unique lipid molecule. The lipid classification scheme is chemically based and driven by the distinct hydrophobic and hydrophilic elements that compose the lipid. This structured vocabulary will facilitate the systematization of lipid biology and enable the cataloging of lipids and their properties in a way that is compatible with other macromolecular databases.[Reprinted with copyright permission from the Journal of Lipid Research. 2005. 46: 839–861.]
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Cites
Intracellular Functions of N-Linked Glycans
Helenius, A., & Aebi, A. M. (2001) · Science · doi:10.1126/science.291.5512.2364 · Cited by 2,405
The Enzymes, Regulation, and Genetics of Bile Acid Synthesis
Russell, D. W. (2003) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.72.121801.161712 · Cited by 2,069
Self-citationHandbook of Glycosyltransferases and Related Genes
(2014) · doi:10.1007/978-4-431-54240-7 · Cited by 318
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Self-citationAlgae as nutritional and functional food sources: revisiting our understanding.
Wells, M. L., Potin, P., Craigie, J. S., Raven, J. A., Merchant, S. S., Helliwell, K. E., Smith, A. G., Camire, M. E., & Brawley, S. H. (2017) · Journal of Applied Phycology · doi:10.1007/s10811-016-0974-5 · Cited by 1,562
LMSD: LIPID MAPS structure database
Sud, M., Fahy, E., Cotter, D., Brown, A., Dennis, E. A., Glass, C. K., Merrill, A. H., Murphy, R. C., Raetz, C. R. H., Russell, D. W., et al. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkl838 · Cited by 1,375
Self-citationLipidomics 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-citationMALDI Imaging of Lipid Biochemistry in Tissues by Mass Spectrometry
Zemski Berry, K. A., Hankin, J. A., Barkley, R. M., Spraggins, J. M., Caprioli, R. M., & Murphy, R. C. (2011) · Chemical Reviews · doi:10.1021/cr200280p · Cited by 386
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Metadata
- Authors
- Fahy, E., Subramaniam, S., Brown, H. A., Glass, C. K., Merrill, A. H., Murphy, R. C., Raetz, C. R. H., Russell, D. W., Seyama, Y., Shaw, W., Shimizu, T., Spener, F., van Meer, G., VanNieuwenhze, M. S., White, S. H., Witztum, J. L., & Dennis, E. A.
- Venue
- European Journal of Lipid Science and Technology
- Publisher
- Wiley
- Published
- 2005-05
- Volume
- 107
- Issue
- 5
- Pages
- 337-364
- ISSN
- 1438-7697 (ISSN-L)
- 1438-9312
- OpenAlex
- W2016937049
- Cited by
- 371
- References
- 3
- FWCI
- 3.20
- Type
- journal article
- Language
- en
- Open access
- green
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- Fahy, E., Subramaniam, S., Brown, H. A., Glass, C. K., Merrill, A. H., Murphy, R. C., Raetz, C. R. H., Russell, D. W., Seyama, Y., Shaw, W., Shimizu, T., Spener, F., van Meer, G., VanNieuwenhze, M. S., White, S. H., Witztum, J. L., & Dennis, E. A. (2005). A comprehensive classification system for lipids. European Journal of Lipid Science and Technology. https://doi.org/10.1002/ejlt.200405001
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