Journal ArticleDOI
The emerging field of lipidomics
TLDR
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.read more
Citations
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Dissertation
Additives for improved analysis of lipids by mass spectrometry
TL;DR: In this paper, an optimized sample preparation strategy for MALDI-MS and imaging of lipids in biological samples is described, which is compatible with a relatively new surface sampling technique: liquid-extraction surface-an.
Journal ArticleDOI
Revealing potential lipid biomarkers in clear cell renal cell carcinoma using targeted quantitative lipidomics.
TL;DR: In this article, a targeted quantitative lipidomic study was conducted using 10 pairs of cancerous and adjacent normal tissues obtained from ccRCC patients, and accurate lipid quantification was performed according to a linear equation calculated using internal standards.
Journal ArticleDOI
Lipid profiling suggests species specificity and minimal seasonal variation in Pacific Green and Hawksbill Turtle plasma.
TL;DR: In this paper, the relative ion intensity of 10 lipid classes (sphingomyelin, phosphatidylcholine, free fatty acid, cholesterol, cholesteryl ester, pectinamide and triacyl-carnitine) was found to be consistent between species, across seasons.
Book ChapterDOI
Personalized Diet and Lifestyle Interventions on Lipids and Lipoproteins
Yan Zheng,Lu Qi,Lu Qi +2 more
TL;DR: The emerging “-omics” research, especially lipidomics, provides potentials to reveal novel and systematic insights into the molecular mechanisms underlying genetic effects, diet/lifestyle influence, and gene–diet/l lifestyle interactions that hold promise to inform future personalized diet and lifestyle interventions based on genetic background.
Journal ArticleDOI
Improving confidence in lipidomic annotations by incorporating empirical ion mobility regression analysis and chemical class prediction.
Bailey S. Rose,Jody C. May,Jaqueline A. Picache,Simona G. Codreanu,Stacy D. Sherrod,John A. McLean +5 more
TL;DR: This approach uses class-specific regression models built from a standardized CCS repository (the Unified CCS Compendium) in a parallel scheme that combines a new annotation filtering approach with a machine learning class prediction strategy to increase confidence in molecular class annotations based on CCS values.
References
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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.
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