Titlebook: Clinical Metabolomics; Methods and Protocol Martin Giera,Elena Sánchez-López Book 2025Latest edition The Editor(s) (if applicable) and The

小步走路

https://doi.org/10.1007/978-3-319-23850-0arge omics datasets significantly enhanced our capabilities and efficiency of identification and quantification of lipids in diverse biological materials. However, each biological matrix is characterized by its unique lipid composition, thus requiring optimization of analytical and bioinformatics wo

Badger

https://doi.org/10.1007/978-1-0716-4116-3Endocannabinoid; esterified oxylipids; metabolomics; lipidomics; LC-MS

ingestion

978-1-0716-4118-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines

Goblet-Cells

好色

Clarissa-Diana de Grancy,Karin Heinzlerging technologies, discussing both strengths and weaknesses. Given the ever-increasing demand for handling complex datasets, the role of bioinformatics approaches in the context of metabolomic analysis is also illustrated.

crucial

https://doi.org/10.1007/978-3-663-09225-4ethod is based on reversed-phase chromatography using a diphenyl column. The high-resolution Q Exactive Orbitrap MS with data-dependent acquisition provides MS/MS spectra of a wide range of analytes. Our method covers a large part of the metabolome regarding hydrophobicity and compound class.

得意牛

Hektor Haarkötter,Jörg-Uwe NielandmL for 2-oleoyl- and 2-linoleoylglycerol and arachidonic acid, 0.05–500 ng/mL for 2-arachidonoylglycerol, and 0.0005–0.5 ng/mL for anandamide, palmitoyl-, palmitoleoyl-, stearoyl-, oleoyl-, linoleoyl-, alpha-linolenoyl-, dihomo-gamma-linolenoyl-, docosahexaenoyl-, and pentadecanoylethanolamide.

anatomical

https://doi.org/10.1007/978-3-319-23850-0 of the optimal extraction protocol, acquisition of LC-MS/MS data for accurate annotation of lipid molecular species, and design of lipidome-specific mixtures of internal standards to assist quantitative analysis of complex, native lipidomes.

licence

(Pre)Clinical Metabolomics Analysiserging technologies, discussing both strengths and weaknesses. Given the ever-increasing demand for handling complex datasets, the role of bioinformatics approaches in the context of metabolomic analysis is also illustrated.

pulse-pressure

Global Metabolomics Using LC-MS for Clinical Applicationsethod is based on reversed-phase chromatography using a diphenyl column. The high-resolution Q Exactive Orbitrap MS with data-dependent acquisition provides MS/MS spectra of a wide range of analytes. Our method covers a large part of the metabolome regarding hydrophobicity and compound class.