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Clinical Metabolomics: Methods and Protocols Second Edition 2025 [Hardback]

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  • Formāts: Hardback, 575 pages, height x width: 254x178 mm, 86 Illustrations, color; 33 Illustrations, black and white; XV, 575 p. 119 illus., 86 illus. in color., 1 Hardback
  • Sērija : Methods in Molecular Biology 2855
  • Izdošanas datums: 02-Oct-2024
  • Izdevniecība: Springer-Verlag New York Inc.
  • ISBN-10: 1071641158
  • ISBN-13: 9781071641156
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  • Hardback
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Clinical Metabolomics: Methods and Protocols Second Edition 2025Palielināt
  • Formāts: Hardback, 575 pages, height x width: 254x178 mm, 86 Illustrations, color; 33 Illustrations, black and white; XV, 575 p. 119 illus., 86 illus. in color., 1 Hardback
  • Sērija : Methods in Molecular Biology 2855
  • Izdošanas datums: 02-Oct-2024
  • Izdevniecība: Springer-Verlag New York Inc.
  • ISBN-10: 1071641158
  • ISBN-13: 9781071641156
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781071641156.html
Keywords:
This second edition volume presents new and updated protocols on comprehensive compendium of clinical metabolomics protocols covering LC-MS, GC-MS, CE-MS, and NMR-based clinical metabolomics as well as bioinformatics and study design considerations. Chapters explore the core of several promising initiatives evolving around personalized health care and precision medicine. Written for the highly successful Methods in Molecular Biology series, chapters include brief introductions to their 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 cutting-edge, Clinical Metabolomics: Methods and Protocols, Second Edition aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge. 
(Pre)Clinical Metabolomics Analysis.- Global Metabolomics using LC-MS
for Clinical Applications.- Modular, scalable and customizable LC-HRMS for
exposomics.- Distinguishing artifactual fatty acid dimers from FAHFAs in
untargeted LC-MS pipelines.- Advances in Chiral Metabolomic Profiling and
Biomarker Discovery.- Stable Isotope Tracing Experiments using LC-MS.-
Quantification of Total Ketone Bodies in biological matrices using Stable
Isotope-labeled Internal Standards and RP-UPLC-MS/MS.- LC-MS/MS
quantification of endocannabinoids in tissues.- Prostaglandin Metabolites
Analysis in Urine by LC-MS/MS.- A method for analysis of oxidized
phospholipids from biological samples using mass spectrometry.- Non-enzymatic
oxidized polyunsaturated fatty acid products in human plasma and urine
samples by LC-QTOF-MS/MS.- Reversed-Phase Ultrahigh-Performance Liquid
Chromatography Mass Spectrometry Method for High-Throughput Lipidomic
Quantitation.- High-Throughput RPLC-MS/MS Quantification of Short- and
Medium-Chain Fatty Acids.- Long chain base profiling with multiple reaction
monitoring mass spectrometry.- Sphingolipid analysis in clinical research.-
Recommendations for accurate lipid annotation and semi-absolute
quantification from LC-MS/MS datasets.- Rapid analysis of Sterols in Blood
Derived Samples.- Ultrahigh-Performance Supercritical Fluid Chromatography
Mass Spectrometry in the Clinical Lipidomic Analysis.- Quantification of
octadecanoids in human plasma using chiral supercritical fluid
chromatography-tandem mass spectrometry.- Rapid Lipid Mediator Profiling by
Convergence Chromatography-MS/MS.- Analysis of the Mammalian Lipidome by DMS
Shotgun Lipidomics.- Differential mobility spectrometry-based cardiolipin
analysis.- CE-MS-based clinical metabolomics of human plasma.- Quantitative
blood serum IVDr NMR spectroscopy in clinical metabolomics of cancer,
neurodegeneration and internal medicine.- Lipoprotein (sub)fraction analysis
on the Bruker B.I. LISA platform.- NMR-based stable isotope tracing of cancer
metabolism.- NMR-based analysis of cellular central energy metabolism and
exchange ratesIn Situ Isotope.-  Tracing at Single-Cell Resolution Using Mass
Spectrometry Imaging.- Extracting knowledge from MS clinical metabolomic
data: Processing and analysis strategies.- Application of a computational
metabolomics workflow for the diagnosis of inborn errors of metabolism in a
laboratory setting.