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Journal ArticleDOI

The emerging field of lipidomics

01 Jul 2005-Nature Reviews Drug Discovery (Nature Publishing Group)-Vol. 4, Iss: 7, pp 594-610
TL;DR: Novel analytical approaches — in particular, liquid chromatography and mass spectrometry — for systems-level analysis of lipids and their interacting partners (lipidomics) now make this field a promising area of biomedical research, with a variety of applications in drug and biomarker development.
Abstract: The crucial role of lipids in cell, tissue and organ physiology is demonstrated by a large number of genetic studies and by many human diseases that involve the disruption of lipid metabolic enzymes and pathways. Examples of such diseases include cancer, diabetes, as well as neurodegenerative and infectious diseases. So far, the explosion of information in the fields of genomics and proteomics has not been matched by a corresponding advancement of knowledge in the field of lipids, which is largely due to the complexity of lipids and the lack of powerful tools for their analysis. Novel analytical approaches--in particular, liquid chromatography and mass spectrometry--for systems-level analysis of lipids and their interacting partners (lipidomics) now make this field a promising area of biomedical research, with a variety of applications in drug and biomarker development.
Citations
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Journal ArticleDOI
TL;DR: In this paper, the methyl-tert-butyl ether (MTBE) extraction method was used for shotgun profiling of lipid species, and the results showed that the MTBE protocol delivered similar or better recoveries of species of most major lipid classes compared with the "gold-standard" Folch or Bligh and Dyer recipes.

1,632 citations

Journal ArticleDOI
16 Feb 2011-PLOS ONE
TL;DR: This work has combined targeted and non-targeted NMR, GC-MS and LC-MS methods with computer-aided literature mining to identify and quantify a comprehensive, if not absolutely complete, set of metabolites commonly detected and quantified (with today's technology) in the human serum metabolome.
Abstract: Continuing improvements in analytical technology along with an increased interest in performing comprehensive, quantitative metabolic profiling, is leading to increased interest pressures within the metabolomics community to develop centralized metabolite reference resources for certain clinically important biofluids, such as cerebrospinal fluid, urine and blood. As part of an ongoing effort to systematically characterize the human metabolome through the Human Metabolome Project, we have undertaken the task of characterizing the human serum metabolome. In doing so, we have combined targeted and non-targeted NMR, GC-MS and LC-MS methods with computer-aided literature mining to identify and quantify a comprehensive, if not absolutely complete, set of metabolites commonly detected and quantified (with today's technology) in the human serum metabolome. Our use of multiple metabolomics platforms and technologies allowed us to substantially enhance the level of metabolome coverage while critically assessing the relative strengths and weaknesses of these platforms or technologies. Tables containing the complete set of 4229 confirmed and highly probable human serum compounds, their concentrations, related literature references and links to their known disease associations are freely available at http://www.serummetabolome.ca.

1,423 citations


Additional excerpts

  • ...developing sub-field of metabolomics [86,87]....

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Journal ArticleDOI
TL;DR: Comparative lipidomics demonstrated that growth temperature and defects in lipid biosynthesis induce ripple effects throughout the molecular composition of the yeast lipidome, establishing shotgun lipidomics as a powerful platform for complementing biochemical studies and other systems-level approaches.
Abstract: Although the transcriptome, proteome, and interactome of several eukaryotic model organisms have been described in detail, lipidomes remain relatively uncharacterized. Using Saccharomyces cerevisiae as an example, we demonstrate that automated shotgun lipidomics analysis enabled lipidome-wide absolute quantification of individual molecular lipid species by streamlined processing of a single sample of only 2 million yeast cells. By comparative lipidomics, we achieved the absolute quantification of 250 molecular lipid species covering 21 major lipid classes. This analysis provided ≈95% coverage of the yeast lipidome achieved with 125-fold improvement in sensitivity compared with previous approaches. Comparative lipidomics demonstrated that growth temperature and defects in lipid biosynthesis induce ripple effects throughout the molecular composition of the yeast lipidome. This work serves as a resource for molecular characterization of eukaryotic lipidomes, and establishes shotgun lipidomics as a powerful platform for complementing biochemical studies and other systems-level approaches.

933 citations

Journal ArticleDOI
TL;DR: It is proposed that delineating the precise roles of these transporters in tumorigenesis and treatment response will be important for the development of more effective targeted therapies.
Abstract: Multidrug transporter proteins are best known for their contributions to chemoresistance through the efflux of anticancer drugs from cancer cells. However, a considerable body of evidence also points to their importance in cancer extending beyond drug transport to fundamental roles in tumour biology. Currently, much of the evidence for these additional roles is correlative and definitive studies are needed to confirm causality. We propose that delineating the precise roles of these transporters in tumorigenesis and treatment response will be important for the development of more effective targeted therapies.

929 citations

Journal ArticleDOI
TL;DR: Researchers are rising to the challenge by using omics data integration to address fundamental biological questions that would increase the understanding of systems as a whole.
Abstract: Various technologies can be used to produce genome-scale, or 'omics', data sets that provide systems-level measurements for virtually all types of cellular components in a model organism. These data yield unprecedented views of the cellular inner workings. However, this abundance of information also presents many hurdles, the main one being the extraction of discernable biological meaning from multiple omics data sets. Nevertheless, researchers are rising to the challenge by using omics data integration to address fundamental biological questions that would increase our understanding of systems as a whole.

775 citations

References
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Journal ArticleDOI
E. G. Bligh1, W. J. Dyer1
TL;DR: The lipid decomposition studies in frozen fish have led to the development of a simple and rapid method for the extraction and purification of lipids from biological materials that has been applied to fish muscle and may easily be adapted to use with other tissues.
Abstract: Lipid decomposition studies in frozen fish have led to the development of a simple and rapid method for the extraction and purification of lipids from biological materials. The entire procedure can...

46,099 citations

Journal ArticleDOI
05 Jun 1997-Nature
TL;DR: A new aspect of cell membrane structure is presented, based on the dynamic clustering of sphingolipids and cholesterol to form rafts that move within the fluid bilayer that function as platforms for the attachment of proteins when membranes are moved around inside the cell and during signal transduction.
Abstract: A new aspect of cell membrane structure is presented, based on the dynamic clustering of sphingolipids and cholesterol to form rafts that move within the fluid bilayer. It is proposed that these rafts function as platforms for the attachment of proteins when membranes are moved around inside the cell and during signal transduction.

9,436 citations

Journal ArticleDOI
TL;DR: Rapid progress that has recently improved the understanding of the molecular mechanisms that mediate TLR signalling is reviewed.
Abstract: One of the mechanisms by which the innate immune system senses the invasion of pathogenic microorganisms is through the Toll-like receptors (TLRs), which recognize specific molecular patterns that are present in microbial components. Stimulation of different TLRs induces distinct patterns of gene expression, which not only leads to the activation of innate immunity but also instructs the development of antigen-specific acquired immunity. Here, we review the rapid progress that has recently improved our understanding of the molecular mechanisms that mediate TLR signalling.

7,906 citations


"The emerging field of lipidomics" refers background in this paper

  • ...Toll-like receptors (TLRs) are involved in pathogen recognition and many TLRs recognize lipid compound...

    [...]

Journal ArticleDOI
11 Dec 1998-Science
TL;DR: The mammalian Tlr4 protein has been adapted primarily to subserve the recognition of LPS and presumably transduces the LPS signal across the plasma membrane.
Abstract: Mutations of the gene Lps selectively impede lipopolysaccharide (LPS) signal transduction in C3H/HeJ and C57BL/10ScCr mice, rendering them resistant to endotoxin yet highly susceptible to Gram-negative infection. The codominant Lpsd allele of C3H/HeJ mice was shown to correspond to a missense mutation in the third exon of the Toll-like receptor-4 gene (Tlr4), predicted to replace proline with histidine at position 712 of the polypeptide chain. C57BL/10ScCr mice are homozygous for a null mutation of Tlr4. Thus, the mammalian Tlr4 protein has been adapted primarily to subserve the recognition of LPS and presumably transduces the LPS signal across the plasma membrane. Destructive mutations of Tlr4 predispose to the development of Gram-negative sepsis, leaving most aspects of immune function intact.

7,553 citations

Trending Questions (1)
What's the most new emerging field in dosiomics studies?

The provided paper is about the emerging field of lipidomics, which focuses on the analysis of lipids and their interactions. There is no mention of dosiomics in the paper, so it does not provide information on the most new emerging field in dosiomics studies.