Lipidomics

Lipidomics may be defined as the large-scale study of pathways and networks of cellular lipids in biological systems. The word "lipidome" is used to describe the complete lipid profile within a cell, tissue or organism. Lipidomics is a relatively recent research field that has been driven by rapid advances in technologies such as mass spectrometry, nuclear magnetic resonance spectroscopy, fluorescence spectroscopy, dual polarisation interferometry and computational methods, coupled with the recognition of the role of lipids in many metabolic diseases such as obesity, atherosclerosis, stroke, hypertension and diabetes. This rapidly expanding field complements the huge progress made in genomics and proteomics, all of which constitute the family of systems biology. Lipidomics research involves the identification and quantitation of the thousands of cellular lipid molecular species and their interactions with other lipids, proteins, and other metabolites. In lipidomic research, a vast amount of information quantitatively describing the spatial and temporal alterations in the content and composition of different lipid molecular species is accrued after perturbation of a cell through changes in its physiological or pathological state. Information obtained from these studies facilitates mechanistic insights into changes in cellular function. Therefore, lipidomic studies play an essential role in defining the biochemical mechanisms of lipid-related disease processes through identifying alterations in cellular lipid metabolism, trafficking and homeostasis.

Further information

1. Murphy RC, Hankin JA, Barkley RM (December 2008). "Imaging of lipid species by MALDI mass spectrometry". J. Lipid Res. 50 Suppl: S317–22.
2. Devaiah SP, Roth MR, Baughman E, Li M, Tamura P, Jeannotte R, Welti R, Wang X (September 2006). "Quantitative profiling of polar glycerolipid species from organs of wild-type Arabidopsis and a phospholipase Dalpha1 knockout mutant". Phytochemistry 67 (17): 1907–24.
3. Yetukuri L, Katajamaa M, Medina-Gomez G, Seppänen-Laakso T, Vidal-Puig A, Oresic M (2007). "Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosis". BMC Syst Biol 1: 12.
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5. Cotter D, Maer A, Guda C, Saunders B, Subramaniam S (January 2006). "LMPD: LIPID MAPS proteome database". Nucleic Acids Res. 34 (Database issue): D507–10.
6. Yetukuri L, Ekroos K, Vidal-Puig A, Oresic M (February 2008). "Informatics and computational strategies for the study of lipids". Mol Biosyst 4 (2): 121–7.
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8. Ю.О. Каратассо, С.Е. Алёшин, Н.В. Попова, В.В. Чистяков, М.Г. Сергеева, С.Д. Варфоломеев. Количественный анализ простагландинов и полиненасыщенных жирных кислот методом масс-спектрометрии с ионизацией электрораспылением.// Масс-спектрометрия ( 2007); 4(3):173-8.
9. Статья Lipidomics из Wikipedia, свободной энциклопедии. Доступно под лицензией Creative Commons Attribution-Share Alike.

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