NMR Metabolomics in Cancer Research
Gebonden Engels 2012 9781907568848Samenvatting
The application of nuclear magnetic resonance (NMR) metabolomics in cancer research requires an understanding of the many possibilities that NMR metabolomics can offer, as well as of the specific characteristics of the cancer metabolic phenotype and the open questions in cancer research. NMR metabolomics in cancer research presents a detailed account of the NMR spectroscopy methods applied to metabolomics mixture analysis along with a discussion of their advantages and disadvantages. Following an overview of the potential use of NMR metabolomics in cancer research, the book begins with an examination of the cancer metabolic phenotype and experimental methodology, before moving on to cover data pre-processing and data analysis. Chapters in the latter part of the book look at dynamic metabolic profiling, biomarker discovery, and the application of NMR metabolomics for different types of cancer, before a concluding chapter discusses future perspectives in the field.
Specificaties
Lezersrecensies
Inhoudsopgave
List of tables
Abbreviations
About the author
Chapter 1: Introduction
Abstract:
1.1 Possibilities of NMR metabolomics in cancer research
Chapter 2: Biology – cancer metabolic phenotype
Abstract:
2.1 Cancer metabolic phenotype
2.2 Drugs aimed at cancer metabolic phenotype
Chapter 3: Experimental methodology
Abstract:
3.1 Fundamentals of NMR spectroscopy
3.2 1D NMR in mixture analysis
3.3 Multidimensional NMR in metabolomics
3.4 Arrayed NMR experiments
3.5 Isotope labeling for NMR analysis
3.6 Diagnostic magnetic resonance tools based on cancer metabolic phenotype and cancer-induced metabolic changes
Chapter 4: Metabolomics NMR data preprocessing – analysis of individual spectrum
Abstract:
4.1 NMR spectrum preprocessing
4.2 Qualitative metabolomics
4.3 STOCSY
4.4 Quantitative metabolomics
4.5 Novel metabolite structure analysis
Chapter 5: Metabolomics data analysis – processing and analysis of a dataset
Abstract:
5.1 Normalization and scaling
5.2 Biases and confounders in metabolomics
5.3 Data analysis
5.4 Data integration – polyomics analysis
Chapter 6: Dynamic metabolic profiling and metabolite network and pathways modeling
Abstract:
6.1 Dynamic metabolic data analysis
6.2 Computational models of metabolic networks
Chapter 7: Biomarker discovery
Abstract:
7.1 Feature (biomarkers) selection
7.2 Validation of results in supervised analysis
Chapter 8: NMR metabolomics application by cancer type
Abstract:
8.1 Breast cancer
8.2 Brain cancers
8.3 Lung cancer metabolomics analysis and results
8.4 Metabolomics analysis of biofluids in cancer research
Chapter 9: Perspectives
Index
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