Metabolomics for Biomedical Research brings together recent progress on study design, analytics, biostatistics and bioinformatics for the success of metabolomics research. Metabolomics represents a very interdisciplinary research prominent in the functional analyses of living systems; hence, this book focuses on translation and medical aspects. The book discusses topics such as biomarkers and their requirements to be used in medical research, with the parameters and approaches on how to validate their quality; and animal models and other approaches, as stem cells and organoid culture. Additionally, it explains how metabolomics may be applied in prediction of individual response to drug or disease progression.
This book is a valuable source for researchers on systems biology and other members of biomedical field interested in metabolism-oriented studies for medical research.
1. Chapter 1: Introduction to metabolomics - p. page_xiii 2. Chapter 2: Confounders in metabolomics - p. page_15 3. Chapter 3: Pre-analytics in biomedical metabolomics - p. page_32 4. Chapter 4: Mass spectrometry-based metabolite analytics - p. page_56 5. Chapter 5: Computational analysis of metabolic data - p. page_82 6. Chapter 6: Genetic influence on the metabolome - p. page_103 7. Chapter 7: The use of animal models in metabolomics - p. page_121 8. Chapter 8: Metabolomics applied to cultured human and animal cells - p. page_136 9. Chapter 9: Drug development - p. page_157 10. Chapter 10: Biomarker discovery - p. page_199 11. Chapter 11: The role of metabolomics in personalized medicine - p. page_226 12. Index - p. page_245
Metabolomics for Biomedical Research brings together recent progress on study design, analytics, biostatistics and bioinformatics for the success of metabolomics research. Metabolomics represents a very interdisciplinary research prominent in the functional analyses of living systems; hence, this book focuses on translation and medical aspects. The book discusses topics such as biomarkers and their requirements to be used in medical research, with the parameters and approaches on how to validate their quality; and animal models and other approaches, as stem cells and organoid culture. Additionally, it explains how metabolomics may be applied in prediction of individual response to drug or disease progression.
This book is a valuable source for researchers on systems biology and other members of biomedical field interested in metabolism-oriented studies for medical research.
1. Chapter 1: Introduction to metabolomics - p. page_xiii 2. Chapter 2: Confounders in metabolomics - p. page_15 3. Chapter 3: Pre-analytics in biomedical metabolomics - p. page_32 4. Chapter 4: Mass spectrometry-based metabolite analytics - p. page_56 5. Chapter 5: Computational analysis of metabolic data - p. page_82 6. Chapter 6: Genetic influence on the metabolome - p. page_103 7. Chapter 7: The use of animal models in metabolomics - p. page_121 8. Chapter 8: Metabolomics applied to cultured human and animal cells - p. page_136 9. Chapter 9: Drug development - p. page_157 10. Chapter 10: Biomarker discovery - p. page_199 11. Chapter 11: The role of metabolomics in personalized medicine - p. page_226 12. Index - p. page_245
