{"product_id":"lipidomics-isbn-9781118893128","title":"Lipidomics","description":"Covers the area of lipidomics from fundamentals and theory to applications\u003cbr\u003e \u003cul\u003e \u003cli\u003ePresents a balanced discussion of the fundamentals, theory, experimental methods and applications of lipidomics\u003c\/li\u003e \u003cli\u003eCovers different characterizations of lipids including Glycerophospholipids; Sphingolipids; Glycerolipids and Glycolipids; and Fatty Acids and Modified Fatty Acids\u003c\/li\u003e \u003cli\u003eIncludes a section on quantification of Lipids in Lipidomics such as sample preparation; factors affecting accurate quantification; and data processing and interpretation\u003c\/li\u003e \u003cli\u003eDetails applications of Lipidomics Tools including for Health and Disease; Plant Lipidomics; and Lipidomics on Cellular Membranes\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eForeword xix\u003cbr\u003e Preface xxi\u003cbr\u003e Abbreviations xxv\u003cbr\u003e \u003cb\u003ePart I Introduction 1\u003cbr\u003e 1 Lipids and Lipidomics 3\u003c\/b\u003e\u003cbr\u003e 1.1 Lipids, 3\u003cbr\u003e 1.1.1 Definition, 3€\u003cbr\u003e 1.1.2 Classification, 4\u003cbr\u003e 1.1.2.1 Lipid MAPS Approach, 7\u003cbr\u003e 1.1.2.2 Building Block Approach, 10\u003cbr\u003e 1.2 Lipidomics, 13\u003cbr\u003e 1.2.1 Definition, 13\u003cbr\u003e 1.2.2 History of Lipidomics, 14\u003cbr\u003e References, 16\u003cbr\u003e \u003cb\u003e2 Mass Spectrometry for Lipidomics 21\u003cbr\u003e \u003c\/b\u003e2.1 Ionization Techniques, 21\u003cbr\u003e 2.1.1 Electrospray Ionization, 22\u003cbr\u003e 2.1.1.1 Principle of Electrospray Ionization, 22\u003cbr\u003e 2.1.1.2 Features of Electrospray Ionization for Lipid Analysis, 28\u003cbr\u003e 2.1.1.3 Advent of ESI for Lipid Analysis: Nano-ESI and Off-Axis Ion Inlets, 30\u003cbr\u003e 2.1.2 Matrix-Assisted Laser Desorption\/Ionization, 30\u003cbr\u003e 2.2 Mass Analyzers, 32\u003cbr\u003e 2.2.1 Quadrupole, 32\u003cbr\u003e 2.2.2 Time of Flight, 33\u003cbr\u003e 2.2.3 Ion Trap, 35\u003cbr\u003e 2.3 Detector, 36\u003cbr\u003e 2.4 Tandem Mass Spectrometry Techniques, 37\u003cbr\u003e 2.4.1 Product-Ion Analysis, 37\u003cbr\u003e 2.4.2 Neutral-Loss Scan, 39\u003cbr\u003e 2.4.3 Precursor-Ion Scan, 39\u003cbr\u003e 2.4.4 Selected Reaction Monitoring, 39\u003cbr\u003e 2.4.5 Interweaving Tandem Mass Spectrometry Techniques, 40\u003cbr\u003e 2.5 Other Recent Advances in Mass Spectrometry for Lipid Analysis, 42\u003cbr\u003e 2.5.1 Ion-Mobility Mass Spectrometry, 43\u003cbr\u003e 2.5.2 Desorption Electrospray Ionization, 43\u003cbr\u003e References, 45\u003cbr\u003e \u003cb\u003e3 Mass Spectrometry-Based Lipidomics Approaches 53\u003c\/b\u003e\u003cbr\u003e 3.1 Introduction, 53\u003cbr\u003e 3.2 Shotgun Lipidomics: Direct Infusion-Based Approaches, 54\u003cbr\u003e 3.2.1 Devices for Direct Infusion, 54\u003cbr\u003e 3.2.2 Features of Shotgun Lipidomics, 55\u003cbr\u003e 3.2.3 Shotgun Lipidomics Approaches, 56\u003cbr\u003e 3.2.3.1 Tandem Mass Spectrometry-Based Shotgun Lipidomics, 56\u003cbr\u003e 3.2.3.2 High Mass Accuracy-Based Shotgun Lipidomics, 56\u003cbr\u003e 3.2.3.3 Multidimensional MS-Based Shotgun Lipidomics, 57\u003cbr\u003e 3.2.4 Advantages and Drawbacks, 63\u003cbr\u003e 3.2.4.1 Tandem Mass Spectrometry-Based Shotgun Lipidomics, 63\u003cbr\u003e 3.2.4.2 High Mass Accuracy-Based Shotgun Lipidomics, 63\u003cbr\u003e 3.2.4.3 Multidimensional Mass Spectrometry-Based Shotgun Lipidomics, 64\u003cbr\u003e 3.3 LC-MS-Based Approaches, 65\u003cbr\u003e 3.3.1 General, 65\u003cbr\u003e 3.3.1.1 Selected Ion Monitoring for LC-MS, 66\u003cbr\u003e 3.3.1.2 Selected\/Multiple Reaction Monitoring for LC-MS, 67\u003cbr\u003e 3.3.1.3 Data-Dependent Analysis after LC-MS, 67\u003cbr\u003e 3.3.2 LC-MS-Based Approaches for Lipidomics, 68\u003cbr\u003e 3.3.2.1 Normal-Phase LC-MS-Based Approaches, 68\u003cbr\u003e 3.3.2.2 Reversed-Phase LC-MS-Based Approaches, 69\u003cbr\u003e 3.3.2.3 Hydrophilic Interaction LC-MS-Based Approaches, 71\u003cbr\u003e 3.3.2.4 Other LC-MS-Based Approaches, 72\u003cbr\u003e 3.3.3 Advantages and Drawbacks, 72\u003cbr\u003e 3.3.4 Identification of Lipid Species after LC-MS, 73\u003cbr\u003e 3.4 MALDI-MS for Lipidomics, 74\u003cbr\u003e 3.4.1 General, 74\u003cbr\u003e 3.4.2 Analysis of Lipid Extracts, 74\u003cbr\u003e 3.4.3 Advantages and Drawbacks, 75\u003cbr\u003e 3.4.4 Recent Advances in MALDI-MS for Lipidomics, 76\u003cbr\u003e 3.4.4.1 Utilization of Novel Matrices, 76\u003cbr\u003e 3.4.4.2 (HP)TLC-MALDI-MS, 78\u003cbr\u003e 3.4.4.3 Matrix-Free Laser Desorption\/Ionization\u003cbr\u003e Approaches, 78\u003cbr\u003e References, 79\u003cbr\u003e \u003cb\u003e4 Variables in Mass Spectrometry for Lipidomics 89\u003cbr\u003e \u003c\/b\u003e4.1 Introduction, 89\u003cbr\u003e 4.2 Variables in Lipid Extraction (i.e., Multiplex Extraction Conditions), 89\u003cbr\u003e 4.2.1 The pH Conditions of Lipid Extraction, 89\u003cbr\u003e 4.2.2 Solvent Polarity of Lipid Extraction, 90\u003cbr\u003e 4.2.3 Intrinsic Chemical Properties of Lipids, 90\u003cbr\u003e 4.3 Variables in the Infusion Solution, 91\u003cbr\u003e 4.3.1 Polarity, Composition, Ion Pairing, and Other Variations in the Infusion Solution, 91\u003cbr\u003e 4.3.2 Variations of the Levels or Composition of a Modifier in the Infusion Solution, 93\u003cbr\u003e 4.3.3 Lipid Concentration in the Infusion Solution, 97\u003cbr\u003e 4.4 Variables in Ionization, 98\u003cbr\u003e 4.4.1 Source Temperature, 98\u003cbr\u003e 4.4.2 Spray Voltage, 99\u003cbr\u003e 4.4.3 Injection\/Eluent Flow Rate, 100\u003cbr\u003e 4.5 Variables in Building-Block monitoring with MS\/MS Scanning, 102\u003cbr\u003e 4.5.1 Precursor-Ion Scanning of a Fragment Ion Whose m\/z Serves as a Variable, 102\u003cbr\u003e 4.5.2 Neutral-Loss Scanning of a Neutral Fragment Whose Mass Serves as a Variable, 102\u003cbr\u003e 4.5.3 Fragments Associated with the Building Blocks are the Variables in Product-Ion MS Analysis, 103\u003cbr\u003e 4.6 Variables in Collision, 104\u003cbr\u003e 4.6.1 Collision Energy, 104\u003cbr\u003e 4.6.2 Collision-Gas Pressure, 104\u003cbr\u003e 4.6.3 Collision Gas Type, 108\u003cbr\u003e 4.7 Variables in Separation, 108\u003cbr\u003e 4.7.1 Charge Properties in Intrasource Separation, 108\u003cbr\u003e 4.7.2 Elution Time in LC Separation, 111\u003cbr\u003e 4.7.3 Matrix Properties in Selective Ionization by MALDI, 112\u003cbr\u003e 4.7.4 Drift Time (or Collision Cross Section) in Ion-Mobility Separation, 112\u003cbr\u003e 4.8 Conclusion, 114\u003cbr\u003e References, 114\u003cbr\u003e \u003cb\u003e5 Bioinformatics in Lipidomics 121\u003cbr\u003e \u003c\/b\u003e5.1 Introduction, 121\u003cbr\u003e 5.2 Lipid Libraries and Databases, 122\u003cbr\u003e 5.2.1 Lipid MAPS Structure Database, 122\u003cbr\u003e 5.2.2 Building-Block Concept-Based Theoretical Databases, 123\u003cbr\u003e 5.2.3 LipidBlast – in silico Tandem Mass Spectral Library, 129\u003cbr\u003e 5.2.4 METLIN Database, 130\u003cbr\u003e 5.2.5 Human Metabolome Database, 131\u003cbr\u003e 5.2.6 LipidBank Database, 131\u003cbr\u003e 5.3 Bioinformatics Tools in Automated Lipid Data Processing, 132\u003cbr\u003e 5.3.1 LC-MS Spectral Processing, 132\u003cbr\u003e 5.3.2 Biostatistical Analyses and Visualization, 134\u003cbr\u003e 5.3.3 Annotation for Structure of Lipid Species, 135\u003cbr\u003e 5.3.4 Software Packages for Common Data Processing, 136\u003cbr\u003e 5.3.4.1 XCMS, 136\u003cbr\u003e 5.3.4.2 MZmine 2, 136\u003cbr\u003e 5.3.4.3 A Practical Approach for Determination of Mass Spectral Baselines, 137\u003cbr\u003e 5.3.4.4 LipidView, 137\u003cbr\u003e 5.3.4.5 LipidSearch, 137\u003cbr\u003e 5.3.4.6 SimLipid, 138\u003cbr\u003e 5.3.4.7 MultiQuant, 139\u003cbr\u003e 5.3.4.8 Software Packages for Shotgun Lipidomics, 139\u003cbr\u003e 5.4 Bioinformatics for Lipid Network\/Pathway Analysis and Modeling, 139\u003cbr\u003e 5.4.1 Reconstruction of Lipid Network\/Pathway, 139\u003cbr\u003e 5.4.2 Simulation of Lipidomics Data for Interpretation of Biosynthesis Pathways, 140\u003cbr\u003e 5.4.3 Modeling of Spatial Distributions and Biophysical\u003cbr\u003e 5.5 Integration of \"Omics\", 143\u003cbr\u003e 5.5.1 Integration of Lipidomics with Other Omics, 143\u003cbr\u003e 5.5.2 Lipidomics Guides Genomics Analysis, 144\u003cbr\u003e References, 145\u003cbr\u003e \u003cb\u003ePart II Characterization of Lipids 151\u003cbr\u003e 6 Introduction 153\u003c\/b\u003e\u003cbr\u003e 6.1 Structural Characterization for Lipid Identification, 153\u003cbr\u003e 6.2 Pattern Recognition for Lipid Identification, 157\u003cbr\u003e 6.2.1 Principles of Pattern Recognition, 157\u003cbr\u003e 6.2.2 Examples, 159\u003cbr\u003e 6.2.2.1 Choline Lysoglycerophospholipid, 159\u003cbr\u003e 6.2.2.2 Sphingomyelin, 161\u003cbr\u003e 6.2.2.3 Triacylglycerol, 164\u003cbr\u003e 6.2.3 Summary, 169\u003cbr\u003e References, 170\u003cbr\u003e \u003cb\u003e7 Fragmentation Patterns of Glycerophospholipids 173\u003c\/b\u003e\u003cbr\u003e 7.1 Introduction, 173\u003cbr\u003e 7.2 Choline Glycerophospholipid, 175\u003cbr\u003e 7.2.1 Positive Ion Mode, 175\u003cbr\u003e 7.2.1.1 Protonated Species, 175\u003cbr\u003e 7.2.1.2 Alkaline Adducts, 175\u003cbr\u003e 7.2.2 Negative-Ion Mode, 178\u003cbr\u003e 7.3 Ethanolamine Glycerophospholipid, 180\u003cbr\u003e 7.3.1 Positive-Ion Mode, 180\u003cbr\u003e 7.3.1.1 Protonated Species, 180\u003cbr\u003e 7.3.1.2 Alkaline Adducts, 180\u003cbr\u003e 7.3.2 Negative-Ion Mode, 182\u003cbr\u003e 7.3.2.1 Deprotonated Species, 182\u003cbr\u003e 7.3.2.2 Derivatized Species, 183\u003cbr\u003e 7.4 Phosphatidylinositol and Phosphatidylinositides, 184\u003cbr\u003e 7.4.1 Positive-Ion Mode, 184\u003cbr\u003e 7.4.2 Negative-Ion Mode, 184\u003cbr\u003e 7.5 Phosphatidylserine, 185\u003cbr\u003e 7.5.1 Positive-Ion Mode, 185\u003cbr\u003e 7.5.2 Negative-Ion Mode, 186\u003cbr\u003e 7.6 Phosphatidylglycerol, 186\u003cbr\u003e 7.6.1 Positive-Ion Mode, 186\u003cbr\u003e 7.6.2 Negative-Ion Mode, 186\u003cbr\u003e 7.7 Phosphatidic Acid, 187\u003cbr\u003e 7.7.1 Positive-Ion Mode, 187\u003cbr\u003e 7.7.2 Negative-Ion Mode, 188\u003cbr\u003e 7.8 Cardiolipin, 188\u003cbr\u003e 7.9 Lysoglycerophospholipids, 190\u003cbr\u003e 7.9.1 Choline Lysoglycerophospholipids, 190\u003cbr\u003e 7.9.2 Ethanolamine Lysoglycerophospholipids, 191\u003cbr\u003e 7.9.3 Anionic Lysoglycerophospholipids, 193\u003cbr\u003e 7.10 Other Glycerophospholipids, 193\u003cbr\u003e 7.10.1 N-Acyl Phosphatidylethanolamine, 193\u003cbr\u003e 7.10.2 N-Acyl Phosphatidylserine, 194\u003cbr\u003e 7.10.3 Acyl Phosphatidylglycerol, 194\u003cbr\u003e 7.10.4 Bis(monoacylglycero)phosphate, 194\u003cbr\u003e 7.10.5 Cyclic Phosphatidic Acid, 196\u003cbr\u003e References, 196\u003cbr\u003e \u003cb\u003e8 Fragmentation Patterns of Sphingolipids 201\u003cbr\u003e \u003c\/b\u003e8.1 Introduction, 201\u003cbr\u003e 8.2 Ceramide, 202\u003cbr\u003e 8.2.1 Positive-Ion Mode, 202\u003cbr\u003e 8.2.2 Negative-Ion Mode, 203\u003cbr\u003e 8.3 Sphingomyelin, 205\u003cbr\u003e 8.3.1 Positive-Ion Mode, 205\u003cbr\u003e 8.3.2 Negative-Ion Mode, 205\u003cbr\u003e 8.4 Cerebroside, 205\u003cbr\u003e 8.4.1 Positive-Ion Mode, 205\u003cbr\u003e 8.4.2 Negative-Ion Mode, 207\u003cbr\u003e 8.5 Sulfatide, 208\u003cbr\u003e 8.6 Oligoglycosylceramide and Gangliosides, 208\u003cbr\u003e 8.7 Inositol Phosphorylceramide, 210\u003cbr\u003e 8.8 Sphingolipid Metabolites, 210\u003cbr\u003e 8.8.1 Sphingoid Bases, 210\u003cbr\u003e 8.8.2 Sphingoid-1-Phosphate, 212\u003cbr\u003e 8.8.3 Lysosphingomyelin, 212\u003cbr\u003e 8.8.4 Psychosine, 213\u003cbr\u003e References, 213\u003cbr\u003e \u003cb\u003e9 Fragmentation Patterns of Glycerolipids 217\u003cbr\u003e \u003c\/b\u003e9.1 Introduction, 217\u003cbr\u003e 9.2 Monoglyceride, 218\u003cbr\u003e 9.3 Diglyceride, 218\u003cbr\u003e 9.4 Triglyceride, 222\u003cbr\u003e 9.5 Hexosyl Diacylglycerol, 223\u003cbr\u003e 9.6 Other Glycolipids, 224\u003cbr\u003e References, 226\u003cbr\u003e \u003cb\u003e10 Fragmentation Patterns of Fatty Acids and Modified Fatty Acids 229\u003c\/b\u003e\u003cbr\u003e 10.1 Introduction, 229\u003cbr\u003e 10.2 Nonesterified Fatty Acid, 230\u003cbr\u003e 10.2.1 Underivatized Nonesterified Fatty Acid, 230\u003cbr\u003e 10.2.1.1 Positive-Ion Mode, 230\u003cbr\u003e 10.2.1.2 Negative-Ion Mode, 230\u003cbr\u003e 10.2.2 Derivatized Nonesterified Fatty Acid, 233\u003cbr\u003e 10.2.2.1 Off-Line Derivatization, 233\u003cbr\u003e 10.2.2.2 Online Derivatization (Ozonolysis), 234\u003cbr\u003e 10.3 Modified Fatty Acid, 234\u003cbr\u003e 10.4 Fatty Acidomics, 238\u003cbr\u003e References, 241\u003cbr\u003e \u003cb\u003e11 Fragmentation Patterns of other Bioactive Lipid Metabolites 243\u003c\/b\u003e\u003cbr\u003e 11.1 Introduction, 243\u003cbr\u003e 11.2 Acylcarnitine, 244\u003cbr\u003e 11.3 Acyl CoA, 245\u003cbr\u003e 11.4 Endocannabinoids, 246\u003cbr\u003e 11.4.1 N-Acyl Ethanolamine, 247\u003cbr\u003e 11.4.2 2-Acyl Glycerol, 247\u003cbr\u003e 11.4.3 N-Acyl Amino Acid, 247\u003cbr\u003e 11.5 4-Hydroxyalkenal, 248\u003cbr\u003e 11.6 Chlorinated Lipids, 251\u003cbr\u003e 11.7 Sterols and Oxysterols, 251\u003cbr\u003e 11.8 Fatty Acid–Hydroxy Fatty Acids, 252\u003cbr\u003e References, 253\u003cbr\u003e \u003cb\u003e12 Imaging Mass Spectrometry of Lipids 259\u003cbr\u003e \u003c\/b\u003e12.1 Introduction, 259\u003cbr\u003e 12.1.1 Samples Suitable for MS Imaging of Lipids, 260\u003cbr\u003e 12.1.2 Sample Processing\/Preparation, 260\u003cbr\u003e 12.1.3 Matrix Application, 261\u003cbr\u003e 12.1.3.1 Matrix Application, 261\u003cbr\u003e 12.1.3.2 Matrix Application Methods, 262\u003cbr\u003e 12.1.4 Data Processing, 263\u003cbr\u003e 12.1.4.1 Biomap, 263\u003cbr\u003e 12.1.4.2 FlexImaging, 264\u003cbr\u003e 12.1.4.3 MALDI Imaging Team Imaging Computing System (MITICS), 264\u003cbr\u003e 12.1.4.4 DataCube Explorer, 264\u003cbr\u003e 12.1.4.5 imzML, 264\u003cbr\u003e 12.2 MALDI-MS Imaging, 264\u003cbr\u003e 12.3 Secondary-Ion Mass Spectrometry Imaging, 267\u003cbr\u003e 12.4 DESI-MS Imaging, 268\u003cbr\u003e 12.5 Ion-Mobility Imaging, 270\u003cbr\u003e 12.6 Advantages and Drawbacks of Imaging Mass Spectrometry for Analysis of Lipids, 270\u003cbr\u003e 12.6.1 Advantages, 270\u003cbr\u003e 12.6.2 Limitations, 272\u003cbr\u003e References, 272\u003cbr\u003e \u003cb\u003ePart III Quantification of Lipids in Lipidomics 281\u003cbr\u003e 13 Sample Preparation 283\u003cbr\u003e \u003c\/b\u003e13.1 Introduction, 283\u003cbr\u003e 13.2 Sampling, Storage, and Related Concerns, 284\u003cbr\u003e 13.2.1 Sampling, 284\u003cbr\u003e 13.2.2 Sample Storage Prior to Extraction, 286\u003cbr\u003e 13.2.3 Minimizing Autoxidation, 287\u003cbr\u003e 13.3 Principles and Methods of Lipid Extraction, 288\u003cbr\u003e 13.3.1 Principles of Lipid Extraction, 289\u003cbr\u003e 13.3.2 Internal Standards, 292\u003cbr\u003e 13.3.3 Lipid Extraction Methods, 295\u003cbr\u003e 13.3.3.1 Folch Extraction, 295\u003cbr\u003e 13.3.3.2 Bligh–Dyer Extraction, 296\u003cbr\u003e 13.3.3.3 MTBE Extraction, 297\u003cbr\u003e 13.3.3.4 BUME Extraction, 298\u003cbr\u003e 13.3.3.5 Extraction of Plant Samples, 298\u003cbr\u003e 13.3.3.6 Special Cases, 298\u003cbr\u003e 13.3.4 Contaminants and Artifacts in Extraction, 299\u003cbr\u003e 13.3.5 Storage of Lipid Extracts, 300\u003cbr\u003e References, 300\u003cbr\u003e \u003cb\u003e14 Quantification of Individual Lipid Species in Lipidomics 305\u003c\/b\u003e\u003cbr\u003e 14.1 Introduction, 305\u003cbr\u003e 14.2 Principles of Quantifying Lipid Species by Mass Spectrometry, 308\u003cbr\u003e 14.3 Methods for Quantification in Lipidomics, 312\u003cbr\u003e 14.3.1 Tandem Mass Spectrometry-Based Method, 312\u003cbr\u003e 14.3.2 Two-Step Quantification Approach Used in MDMS-SL, 317\u003cbr\u003e 14.3.3 Selected Ion Monitoring Method, 321\u003cbr\u003e 14.3.4 Selected Reaction Monitoring Method, 324\u003cbr\u003e 14.3.5 High Mass Accuracy Mass Spectrometry\u003cbr\u003e Approach, 327\u003cbr\u003e References, 329\u003cbr\u003e \u003cb\u003e15 Factors Affecting Accurate Quantification of Lipids 335\u003cbr\u003e \u003c\/b\u003e15.1 Introduction, 335\u003cbr\u003e 15.2 Lipid Aggregation, 336\u003cbr\u003e 15.3 Linear Dynamic Range of Quantification, 337\u003cbr\u003e 15.4 Nuts and Bolts of Tandem Mass Spectrometry for Quantification of Lipids, 339\u003cbr\u003e 15.5 Ion Suppression, 341\u003cbr\u003e 15.6 Spectral Baseline, 343\u003cbr\u003e 15.7 The Effects of Isotopes, 344\u003cbr\u003e 15.8 Minimal Number of Internal Standards for Quantification, 347\u003cbr\u003e 15.9 In-Source Fragmentation, 349\u003cbr\u003e 15.10 Quality of Solvents, 350\u003cbr\u003e 15.11 Miscellaneous in Quantitative Analysis of Lipids, 350\u003cbr\u003e References, 350\u003cbr\u003e \u003cb\u003e16 Data Quality Control and Interpretation 353\u003c\/b\u003e\u003cbr\u003e 16.1 Introduction, 353\u003cbr\u003e 16.2 Data Quality Control, 354\u003cbr\u003e 16.3 Recognition of Lipid Metabolism Pathways for Data Interpretation, 355\u003cbr\u003e 16.3.1 Sphingolipid Metabolic Pathway Network, 356\u003cbr\u003e 16.3.2 Network of Glycerophospholipid Biosynthesis Pathways, 356\u003cbr\u003e 16.3.3 Glycerolipid Metabolism, 359\u003cbr\u003e 16.3.4 Interrelationship between Different Lipid Categories, 360\u003cbr\u003e 16.4 Recognition of Lipid Functions for Data Interpretation, 360\u003cbr\u003e 16.4.1 Lipids Serve as Cellular Membrane Components, 360\u003cbr\u003e 16.4.2 Lipids Serve as Cellular Energy Storage Depots, 363\u003cbr\u003e 16.4.3 Lipids Serve as Signaling Molecules, 365\u003cbr\u003e 16.4.4 Lipids Play Other Cellular Roles, 366\u003cbr\u003e 16.5 Recognizing the Complication of Sample Inhomogeneity and Cellular Compartments in Data Interpretation, 368\u003cbr\u003e 16.6 Integration of \"Omics\" for Data Supporting, 369\u003cbr\u003e References, 370\u003cbr\u003e \u003cb\u003ePart IV Applications of Lipidomics in Biomedical and Biological Research 377\u003cbr\u003e 17 Lipidomics for Health and Disease 379\u003c\/b\u003e\u003cbr\u003e 17.1 Introduction, 379\u003cbr\u003e 17.2 Diabetes and Obesity, 380\u003cbr\u003e 17.3 Cardiovascular Diseases, 382\u003cbr\u003e 17.4 Nonalcohol Fatty Liver Disease, 383\u003cbr\u003e 17.5 Alzheimer’s disease, 385\u003cbr\u003e 17.6 Psychosis, 387\u003cbr\u003e 17.7 Cancer, 388\u003cbr\u003e 17.8 Lipidomics in Nutrition, 390\u003cbr\u003e 17.8.1 Lipidomics in Determination of the Effects of Specific Diets or Challenge Tests, 391\u003cbr\u003e 17.8.2 Lipidomics to Control Food Quality, 392\u003cbr\u003e References, 393\u003cbr\u003e \u003cb\u003e18 Plant Lipidomics 405\u003c\/b\u003e\u003cbr\u003e 18.1 Introduction, 405\u003cbr\u003e 18.2 Characterization of Lipids Special to Plant Lipidome, 406\u003cbr\u003e 18.2.1 Galactolipids, 407\u003cbr\u003e 18.2.2 Sphingolipids, 408\u003cbr\u003e 18.2.3 Sterols and Derivatives, 410\u003cbr\u003e 18.2.4 Sulfolipids, 410\u003cbr\u003e 18.2.5 Lipid A and Intermediates, 411\u003cbr\u003e 18.3 Lipidomics for Plant Biology, 411\u003cbr\u003e 18.3.1 Stress-Induced Changes of Plant Lipidomes, 411\u003cbr\u003e 18.3.1.1 Lipid Alterations in Plants Induced by Temperature Changes, 411\u003cbr\u003e 18.3.1.2 Wounding-Induced Alterations in Plastidic Lipids, 415\u003cbr\u003e 18.3.1.3 Phosphorus Deficiency-Resulted Changes of Glycerophospholipids and Galactolipids, 416\u003cbr\u003e 18.3.2 Changes of Plant Lipidomes during Development, 416\u003cbr\u003e 18.3.2.1 Alterations in Lipids during Development of Cotton Fibers, 416\u003cbr\u003e 18.3.2.2 Changes of Lipids during Potato Tuber Aging and Sprouting, 417\u003cbr\u003e 18.3.3 Characterization of Gene Function by Lipidomics, 417\u003cbr\u003e 18.3.3.1 Role of Fatty Acid Desaturases and DHAP Reductase in Systemic Acquired Resistance, 417\u003cbr\u003e 18.3.3.2 Roles of Phospholipases in Response to Freezing, 419\u003cbr\u003e 18.3.3.3 Role of PLDζ in Phosphorus Deficiency-Induced Lipid Changes, 419\u003cbr\u003e 18.3.4 Lipidomics Facilitates Improvement of Genetically Modified Food Quality, 420\u003cbr\u003e References, 421\u003cbr\u003e \u003cb\u003e19 Lipidomics on Yeast and Mycobacterium Tuberculosis 427\u003c\/b\u003e\u003cbr\u003e 19.1 Introduction, 427\u003cbr\u003e 19.2 Yeast Lipidomics, 428\u003cbr\u003e 19.2.1 Protocol for Analysis of Yeast Lipidomes by Mass Spectrometry, 428\u003cbr\u003e 19.2.2 Quantitative Analysis of Yeast Lipidome, 430\u003cbr\u003e 19.2.3 Comparative Lipidomics Studies on Different Yeast Strains, 431\u003cbr\u003e 19.2.4 Lipidomics of Yeast for Lipid Biosynthesis and Function, 432\u003cbr\u003e 19.2.5 Determining the Effects of Growth Conditions on Yeast Lipidomes, 435\u003cbr\u003e 19.3 Mycobacterium Tuberculosis Lipidomics, 436\u003cbr\u003e References, 438\u003cbr\u003e \u003cb\u003e20 Lipidomics on Cell Organelle and Subcellular Membranes 443\u003c\/b\u003e\u003cbr\u003e 20.1 Introduction, 443\u003cbr\u003e 20.2 Golgi, 444\u003cbr\u003e 20.3 Lipid Droplets, 445\u003cbr\u003e 20.4 Lipid Rafts, 447\u003cbr\u003e 20.5 Mitochondrion, 449\u003cbr\u003e 20.6 Nucleus, 452\u003cbr\u003e 20.7 Conclusion, 453\u003cbr\u003e References, 454\u003cbr\u003e Index 459\u003c\/p\u003e \u003cb\u003eXianlin Han\u003c\/b\u003e is a Professor in the Programs of Cardiovascular Metabolism and Integrative Metabolism at the Sanford Burnham Prebys Medical Discovery Institute. Prof. Han is one of the pioneers in lipidomics and the inventor of shotgun lipidomics. He has published over 180 peer-reviewed papers in journals and 16 invited book chapters with an H-index of 62. He holds 5 international patents. He is the associate editor of “Lipids”. Prof. Han serves as a member of the Editorial Board of numerous international journals including J. Lipid Res., Mol. Cell Biol. Lipids in Biochim. Biophys. Acta, Chem. Phys. Lipids, and Anal. Biochem. \u003cp\u003e\u003cb\u003eCovers the area of lipidomics from fundamentals and theory to applications and methods\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAfter years of development, the fundamentals and methodologies of lipidomics strategies have greatly advanced. The advancements and discoveries made in the field have been well-recognized in a great number of publications, special issues in a variety of prestigious journals, and several books edited by experts in the field. It is also clear that the progress of lipidomics has been accelerated by the development of modern mass spectrometry. Mass spectrometric analysis of lipids plays a key role in the discipline. However a systematic and detailed description of these fundamentals, technologies, advancements, and applications is still missing. This book is focused on the mass spectrometry of lipids that has occurred in these years.\u003c\/p\u003e \u003cp\u003eThe content of this book is classified into four sections: introduction, characterization, quantification, and application. The first part provides the fundamentals of lipids, lipidomics, and mass spectrometry. In the second section, “pattern recognition” for characterization of lipids is emphasized. Appropriate sampling, good practice of lipid extraction, addition of internal standards, practical methods for accurate quantification, data quality control, and others are the topics of the third section. The application of lipidomics strategies for biological and biomedical research is the last section of the book. \u003c\/p\u003e \u003cp\u003e\u003ci\u003eLipidomics: Comprehensive Mass Spectrometry of Lipids \u003c\/i\u003efeatures:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eExamples of a variety of diseases including metabolic syndrome, neurological and neurodegenerative diseases, and cancer\u003c\/li\u003e \u003cli\u003eLipidomics in subcellular organelles and membrane fractions is also discussed to a great degree in this section.\u003c\/li\u003e \u003cli\u003eLarge attention on practical quantification of Lipids in Lipidomics such as sample preparation; factors affecting accurate quantification; and data processing and interpretation\u003c\/li\u003e \u003cli\u003eBroad applications of Lipidomics Tools including for Health and Disease; Plant Lipidomics, and Lipidomics on Cellular Membranes\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis monograph steps boldly into the area of lipidomics by providing important insights, information, and directions into how one can analyze lipids by mass spectrometry. This book very nicely engages these and more topics that are absolutely essential if one is to use this approach to further unravel and marvel at the mysteries of the living system.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989533638885,"sku":"NP9781118893128","price":160.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118893128.jpg?v=1761784495","url":"https:\/\/k12savings.com\/es\/products\/lipidomics-isbn-9781118893128","provider":"K12savings","version":"1.0","type":"link"}