Buch, Englisch, 350 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 699 g
ISBN: 978-981-99-5161-1
Verlag: Springer Nature Singapore
This model has been successfully applied in various conditions, including inborn errors of metabolism, primary immunodeficiency, and endocrine disorders. However, integrating metabolomics with other omics datasets and clinical phenotypes requires careful study design, analytical tools, and data analysis and interpretation.
This groundbreaking new book provides essential guidance for researchers, students, and professionals looking to leverage metabolomics in their own work, including biochemical and clinical geneticists, pharmacogenomics and pharmacometabolomics experts, pharmaceutics and diagnostic researchers, medical scientists, clinical dietitians, metabolic engineers, clinical chemists, and personalized medicine specialists.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Stoffwechselstörungen
- Naturwissenschaften Biowissenschaften Zellbiologie
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
Weitere Infos & Material
Chapter 1. The advanced technology and clinical application in metabolomics.- Chapter 2. Mass Spectrometry-Based Metabolomics for the Clinical Laboratory.- Chapter 3. Metabolomics: a pipeline for biomarker discovery in genetic diseases.- Chapter 4. Bioinformatics Tools for Clinical Metabolomics.- Chapter 5. Untargeted Metabolomics in Newborn Screening.- Chapter 6. Untargeted Metabolomics, Targeted Care: The Clinical Utilities of Bedside Metabolomics.- Chapter 7. Metabolomics in the Study of Human Mitochondrial Diseases.- Chapter 8. Metabolomics of Rare endocrine, genetic disease- A focus on the Pituitary gland.- Chapter 9. Metabolomics and genetics of rare endocrine disease - adrenal, parathyroid glands, and cystic fibrosis.- Chapter 10. Metabolomics role in personalized medicine: An update.- Chapter 11. Lipidomic Profiling in Clinical Practice Using LC-MS.- Chapter 12. Bringing Human Serum Lipidomics to the Forefront of Clinical Practice: Two Clinical Diagnosis Success Stories.- Chapter 13. LC-MS based population metabolomics: a mini-review of recent studies and challenges from sample collection to data processing.- Chapter 14. Metabolomics and transcriptomics approach to understand the pathophysiology of interstitial lung disease.- Chapter 15. Transferring metabolomics to portable diagnostic devices- Trending in biosensors.