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Clinical Metabolomics: Methods and Protocols Softcover reprint of the original 1st ed. 2018 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 389 pages, height x width: 254x178 mm, weight: 765 g, 22 Illustrations, color; 17 Illustrations, black and white; XIV, 389 p. 39 illus., 22 illus. in color., 1 Paperback / softback
  • Sērija : Methods in Molecular Biology 1730
  • Izdošanas datums: 04-Jun-2019
  • Izdevniecība: Humana Press Inc.
  • ISBN-10: 1493985302
  • ISBN-13: 9781493985302
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Clinical Metabolomics: Methods and Protocols Softcover reprint of the original 1st ed. 2018Palielināt
  • Formāts: Paperback / softback, 389 pages, height x width: 254x178 mm, weight: 765 g, 22 Illustrations, color; 17 Illustrations, black and white; XIV, 389 p. 39 illus., 22 illus. in color., 1 Paperback / softback
  • Sērija : Methods in Molecular Biology 1730
  • Izdošanas datums: 04-Jun-2019
  • Izdevniecība: Humana Press Inc.
  • ISBN-10: 1493985302
  • ISBN-13: 9781493985302
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781493985302.html
This detailed volume presents a 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. The methodologies explored here form the core of several very promising initiatives evolving around personalized health care and precision medicine, which can be seen as complimentary to the field of clinical chemistry and aid the aforementioned field with novel disease markers and diagnostic patterns. 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 practical, Clinical Metabolomics: Methods and Protocols aims to serve as the basis for successful communication between scientists from several fields, including chemists, biologist, bioinformaticians, and clinicians, ultimately leading to effective study design and completion.

Metabolomics as a Tool to Understand Pathophysiological Processes.- Metabolomics in Immunology Research.- LC-MS-Based Metabolomics of Biofluids Using All Ion Fragmentation (AIF) Acquisition.- Lipid Mediator Metabolomics via LC-MS/MS Profiling and Analysis.- UHPSFC/ESI-MS Analysis of Lipids.- LC-MS/MS Analysis of Lipid Oxidation Products in Blood and Tissue Samples.- Serum Testosterone by Liquid Chromatography Tandem Mass Spectrometry for Routine Clinical Diagnostics.- LC-MS/MS Analysis of Bile Acids.- LC-MS/MS Analysis of Triglycerides in Blood-Derived Samples.- LC-MS/MS Analysis of the Epoxides and Diols Derived from the Endocannabinoid Arachidonoyl Ethanolamide.- Sphingolipid Analysis in Clinical Research.- Shotgun Lipidomics Approach for Clinical Samples.- Establishing and Performing Targeted Multi-Residue Analysis for Lipid Mediators and Fatty Acids in Small Clinical Plasma Samples.- Chemical Isotope Labeling LC-MS for Human Blood Metabolome Analysis.- Direct Infusion-Tandem Mass Spectrometry (DI-MS/MS) Analysis of Complex Lipids in Human Plasma & Serum Using the LipidyzerTM Platform.- Exploratory GC-MS-Based Metabolomics of Body Fluids.- GC-MS Analysis of Short-Chain Fatty Acids in Feces, Cecum Content, and Blood-Derived Samples.- GC-MS Analysis of Medium- and Long-Chain Fatty Acids in Blood Samples.- Analysis of Oxysterols.- Analysis of Metabolites from the Tricarboxylic Acid Cycle for Yeast and Bacteria Samples Using Gas Chromatography Mass Spectrometry.- GC-MS Analysis of Lipid Oxidation Products in Blood, Urine, and Tissue Samples.- Metabolic Profiling of Urine by Capillary Electrophoresis-Mass Spectrometry Using Non-Covalently Coated Capillaries.- CE-MS for the Analysis of Amino Acids.- NMR Analysis of Fecal Samples.- Quantitative Analysis of Central Energy Metabolism in Cell Culture Samples.- Mass Spectrometry Imaging of Metabolites.- Quality Assured Biobanking: The Leiden University Medical Center Model.- Extracting Knowledge from MS Clinical Metabolomic Data: Processing and Analysis Strategies.