High-Throughput Metabolomics

Methods and Protocols
1. Auflage 2019
ISBN: 978-1-4939-9235-5
Verlag: Springer

Buch, Englisch, Band 1978, 459 Seiten, HC runder Rücken kaschiert, Format (B × H): 183 mm x 260 mm, Gewicht: 1085 g

Reihe: Methods in Molecular Biology

This detailed volume focuses on recent technological, computational, and biostatistical advances in the field of high-throughput metabolomics. Chapters encompass methods, platforms, and analytical strategies for steady state measurements and metabolic flux analysis with stable isotope-labeled tracers, in biological matrices of clinical relevance and model organisms. Mass spectrometry-based or orthogonal methods are discussed, along with computational and statistical methods to address data sparsity in high-throughput metabolomics approaches. As a part of the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, High-Throughput Metabolomics: Methods and Protocols provides tools that can bring about thenext generation of clinical biochemistry in a cost-effective, rigorous fashion, exponentially advancing our capacity to investigate nature while hastening the advent of personalized medicine.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

D'Alessandro, Angelo

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Lipidologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Humangenetik
• Naturwissenschaften Biowissenschaften Zellbiologie

Inhaltsverzeichnis

Sample Preparation and Reporting Standards for Metabolomics of Adherent Mammalian Cells.- High-Throughput Metabolomics: Isocratic and Gradient Mass Spectrometry-Based Methods.- High-Throughput Metabolomics Based on Direct Mass Spectrometry Analysis in Biomedical Research.- Traveling Wave Ion Mobility Mass Spectrometry: Metabolomics Applications.- CE-MS for Metabolomics: A Comparison with Other Techniques.- Overview of Lipid Mass Spectrometry and Lipidomics.- LC-MS/MS-MRM-Based Targeted Metabolomics for Quantitative Analysis of Polyunsaturated Fatty Acids and Oxylipins.- Untargeted and Semi-Targeted Lipid Analysis of Biological Samples Using Mass Spectrometry-Based Metabolomics.- HPLC-MS/MS Methods for Diacylglycerol and Sphingolipid Molecular Species in Skeletal Muscle.- Quantification of D- and L-2-Hydroxyglutarate in Drosophila melanogaster Tissue Samples Using Gas Chromatography-Mass Spectrometry.- Comprehensive LC-MS-Based Metabolite Fingerprinting Approach for Plant andFungal-Derived Samples.- Untargeted Metabolomics of Plant Leaf Tissues.- Analysis of Arginine Metabolism Using LC-MS and Isotopic Labeling.- Quantifying Intermediary Metabolism and Lipogenesis in Cultured Mammalian Cells Using Stable Isotope Tracing and Mass Spectrometry.- Insights into Dynamic Network States Using Metabolomic Data.- Analysis of Endothelial Fatty Acid Metabolism Using Tracer Metabolomics.- Using Stable Isotope Tracers for Metabolic Pathway Analysis.- Data Processing for GC-MS and LC-MS-Based Untargeted Metabolomics.- El-MAVEN: A Fast, Robust, and User-Friendly Mass Spectrometry Data Processing Engine for Metabolomics.- Pre-Analytic Considerations for Mass Spectrometry-Based Untargeted Metabolomics Data.- Temporal Metabolite, Ion, and Enzyme Activity Profiling Using Fluorescence Microscopy and Genetically-Encoded Biosensors.- Microplate Assays for Spectrophotometric Measurement of Mitochondrial Enzyme Activity.- Quantitative NMR-Based Metabolomics on Tissue Biomarkers and Its Translation into In Vivo Magnetic Resonance Spectroscopy.- Metabolomic Applications in Radiation Biodosimetry.- Metabolomics Analyses to Investigate the Role of Diet and Physical Training.- Blood Biomarkers in Sports Medicine and Performance and the Future of Metabolomics.- Personalized Metabolomics.