NMR metabolomics in cancer research /

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 metabol...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: �Cuperlovi�c-Culf, Miroslava
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, UK ; Phildadelphia, PA : Woodhead Publishing, 2013.
Colección:Woodhead Publishing series in biomedicine ; no. 63.
Temas:
Cancer > Research.
Metabolism.
Nuclear magnetic resonance spectroscopy.
Biomedical Research
Neoplasms > metabolism
Magnetic Resonance Spectroscopy
Metabolomics
Metabolism
Cancer > Recherche.
M�etabolisme.
Spectroscopie de la r�esonance magn�etique nucl�eaire.
M�etabolomique.
metabolism (biological concept)
HEALTH & FITNESS > Diseases > General.
MEDICAL > Clinical Medicine.
MEDICAL > Diseases.
MEDICAL > Evidence-Based Medicine.
MEDICAL > Internal Medicine.
Cancer > Research
Nuclear magnetic resonance spectroscopy
Internet Resources.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; NMR metabolomics incancer research; Copyright; Contents; List of figures; List of tables; Abbreviations; About the author; 1 Introduction; 1.1 Possibilities of NMR metabolomics in cancer research; 1.2 References; 2 Biology
  • cancer metabolic phenotype; 2.1 Cancer metabolic phenotype; 2.2 Drugs aimed at cancer metabolic phenotype; 2.3 References; 3 Experimental methodology; 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 changes3.7 References; 4 Metabolomics NMR data preprocessing
  • analysis of individual spectrum; 4.1 NMR spectrum preprocessing; 4.2 Qualitative metabolomics; 4.3 STOCSY; 4.4 Quantitative metabolomics; 4.5 Novel metabolite structure analysis; 4.6 References; 5 Metabolomics data analysis
  • processing and analysis of a dataset; 5.1 Normalization and scaling; 5.2 Biases and confounders in metabolomics; 5.3 Data analysis; 5.4 Data integration
  • polyomics analysis; 5.5 References
  • 6 Dynamic metabolic profiling and metabolite network and pathways modeling6.1 Dynamic metabolic data analysis; 6.2 Computational models of metabolic networks; 6.3 References; 7 Biomarker discovery; 7.1 Feature (biomarkers) selection; 7.2 Validation of results in supervised analysis; 7.3 References; 8 NMR metabolomics application by cancer type; 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; 8.5 References; 9 Perspectives; Index

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