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Short description A practical guide to current technologies and strategies for systems-level lipid analysis, with a focus on commercial applications in diagnostics and pharmaceuticals. Discusses and explains recent instrumentation and technologies, including high-throughput methods.
From the contents PREFACE
LIPIDOMICS PERSPECTIVE: FROM MOLECULAR LIPIDOMICS TO VALIDATED CLINICAL DIAGNOSTICS Introduction Hierarchical Categorization of the Analytical Lipid Outputs The Type of Lipid Information Delivers Different Biological Knowledge Untying New Biological Evidences through Molecular Lipidomic Applications Molecular Lipidomics Approaches Clinical Diagnostics Current Roadblocks in Lipidomics Conclusions
LIPIDS IN CELLS Introduction Basis of Cellular Lipid Distribution Lipid Distribution by Nonvesicular Routes Lipids in Different Cell Types Functional Implications of Membrane Lipid Composition Outlook: Collectives and Phase Separation
HIGH-THROUGHPUT MOLECULAR LIPIDOMICS Introduction Lipid Diversity Function of Molecular Lipids Automated Sample Preparation Different Approaches to Molecular Lipidomics Data Processing and Evaluation Lipidomic Workflows Conclusions and Future Perspectives
MULTIDIMENSIONAL MASS SPECTROMETRY-BASED SHOTGUN LIPIDOMICS Introduction Multidimensional Mass Spectrometry-Based Shotgun Lipidomics Application of Multidimensional Mass Spectrometry-Based Shotgun Lipidomics for Lipidomic Analysis Conclusions
TARGETED LIPIDOMICS: SPHINGOLIPIDOMICS Introduction Sphingolipids Description and Nomenclature Sphingolipids Analysis via Targeted LC-MS/MS Applications of Sphingolipidomics in Biology and Disease Conclusions
STRUCTURAL LIPIDOMICS Introduction Lipid Structure Structural Analysis of Lipids by Mass Spectrometry sn Position Double Bond Position Double Bond Stereochemistry Conclusions
IMAGING LIPIDS IN TISSUES BY MATRIX-ASSISTED LASER DESORPTION/IONIZATION MASS SPECTROMETRY Introduction Sample Preparation Matrix Instrumentation Data Processing Conclusions
LIPID INFORMATICS: FROM A MASS SPECTRUM TO INTERACTOMICS Introduction Lipid Nomenclature Basic Properties of Lipid Mass Spectrometric Data Data Processing Lipidomic Data Mining and Visualization Lipidomic Data Integration Conclusions and Future Perspectives
LIPIDS IN HUMAN DISEASES Introduction Obesity Dyslipidemia Diabetes Cardiovascular Disorders Hereditary Sensory Neuropathy Neurodegeneration Cancer Lysosomal Storage Disorders Cystic Fibrosis Anti-Inflammatory Lipid Mediators Conclusions
LIPIDOMICS IN LIPOPROTEIN BIOLOGY Introduction Metabolism of Lipoproteins Lipoproteinomics in Normolipidemic Subjects Altered Lipoproteinomics in Dyslipidemia Conclusions
MEDIATOR LIPIDOMICS IN INFLAMMATION RESEARCH Introduction PUFA-Derived Lipid Mediators: Formation and Action LC-ESI-MS/MS-Based Lipidomics Mediator Lipidomics in Inflammation and Resolution Conclusion and Future Perspective
LIPIDOMICS FOR ELUCIDATION OF METABOLIC SYNDROME AND RELATED LIPID METABOLIC DISORDER Introduction Basic Strategy of Lipidomics for Elucidating Metabolic Changes of Lipids at the Level of their Molecular Species in Metabolic Syndrome and Related Diseases Analytical Systems by Mass Spectrometry in Lipidomics Lipidomic Data Processing ü Analysis of Lipids as Markers of Metabolic Syndrome Direct Detection of Lipid Molecular Species in Specific Tissue Domains by Disease-Specific Changes Conclusions
LIPIDOMICS IN ATHEROSCLEROTIC VASCULAR DISEASE Introduction Lipids and Atherosclerotic Vascular Disease Diagnostics and Treatment Conclusions
LIPID METABOLISM IN NEURODEGENERATIVE DISEASES Introduction Parkinson?s Disease Conclusions
THE TUMOR MITOCHONDRIAL LIPIDOME AND RESPIRATORY BIOENERGETIC INSUFFICIENCY Introduction Cardiolipin and Electron Transport Chain Abnormalities in Mouse Brain Tumor Mitochondria Complicating Influence of the in vitro Growth Environment on Cardiolipin Composition and Energy Metabolism Bioinformatic Methods to Interpret Alterations in the Mitochondrial Lipidome Conclusions
LIPIDOMICS FOR PHARMACEUTICAL RESEARCH Introduction Biomarkers for Pharmaceutical Research Strategy for Biomarker Discovery Conclusions
