NMR Metabolomics in Cancer Research

<p>List of figures</p> <p>List of tables</p> <p>Abbreviations</p> <p>About the author</p> <p>Chapter 1: Introduction</p> <p>Abstract:</p> <p>1.1 Possibilities of NMR metabolomics in cancer research</p> <p>Chapter 2: Biology – cancer metabolic phenotype</p> <p>Abstract:</p> <p>2.1 Cancer metabolic phenotype</p> <p>2.2 Drugs aimed at cancer metabolic phenotype</p> <p>Chapter 3: Experimental methodology</p> <p>Abstract:</p> <p>3.1 Fundamentals of NMR spectroscopy</p> <p>3.2 1D NMR in mixture analysis</p> <p>3.3 Multidimensional NMR in metabolomics</p> <p>3.4 Arrayed NMR experiments</p> <p>3.5 Isotope labeling for NMR analysis</p> <p>3.6 Diagnostic magnetic resonance tools based on cancer metabolic phenotype and cancer-induced metabolic changes</p> <p>Chapter 4: Metabolomics NMR data preprocessing – analysis of individual spectrum</p> <p>Abstract:</p> <p>4.1 NMR spectrum preprocessing</p> <p>4.2 Qualitative metabolomics</p> <p>4.3 STOCSY</p> <p>4.4 Quantitative metabolomics</p> <p>4.5 Novel metabolite structure analysis</p> <p>Chapter 5: Metabolomics data analysis – processing and analysis of a dataset</p> <p>Abstract:</p> <p>5.1 Normalization and scaling</p> <p>5.2 Biases and confounders in metabolomics</p> <p>5.3 Data analysis</p> <p>5.4 Data integration – polyomics analysis</p> <p>Chapter 6: Dynamic metabolic profiling and metabolite network and pathways modeling</p> <p>Abstract:</p> <p>6.1 Dynamic metabolic data analysis</p> <p>6.2 Computational models of metabolic networks</p> <p>Chapter 7: Biomarker discovery</p> <p>Abstract:</p> <p>7.1 Feature (biomarkers) selection</p> <p>7.2 Validation of results in supervised analysis</p> <p>Chapter 8: NMR metabolomics application by cancer type</p> <p>Abstract:</p> <p>8.1 Breast cancer</p> <p>8.2 Brain cancers</p> <p>8.3 Lung cancer metabolomics analysis and results</p> <p>8.4 Metabolomics analysis of biofluids in cancer research</p> <p>Chapter 9: Perspectives</p> <p>Index</p>