Cancer Metabolomics: Methods and Applications
Shen Hu
2021-04 · Springer Nature
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312
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Cancer metabolomics is a rapidly evolving field that aims for a comprehensive dissection of the metabolic phenotypes and functional network of metabolites in human cancers. State of the art metabolomics tools have been developed and applied to studying cancer metabolism and developing metabolic targets for improved diagnosis, prognosis and therapeutic treatment of human cancers. Chapters are written by subject experts in the field of cancer metabolomics with cross-disciplinary contributions. Coverage includes advanced metabolomics technologies and methodologies, including chemical isotope labelling liquid chromatography - mass spectrometry, capillary ion chromatography - mass spectrometry, 2-D gas chromatography – mass spectrometry, capillary electrophoresis – mass spectrometry, nuclear magnetic resonance spectroscopy, shotgun lipidomics, tracer-based metabolomics, microbial metabolomics, mass spectrometry imaging for single cell metabolomics and functional metabolomics. In addition, the book highlights new discoveries in cancer metabolism such as hypoxia inducible factor pathway, isocitrate dehydrogenase 1 mutation and oncometabolites. Finally, contributors focus on the translational applications of metabolomics in human cancers such as glioma, head and neck cancer, and gastric cancer. This new volume will be a unique reference source for cancer researchers and promote applications of metabolomics in understanding cancer metabolism.
Apie autorių
Dr. Shen Hu is a Professor at the University of California, Los Angeles, and currently directs the Oral Biology Graduate Program. He received his PhD in Bioanalytical Chemistry from Wuhan University and MBA from the Anderson School of Management at the University of California, Los Angeles. Dr. Hu’s research interests are in cancer metabolomics, stem cell biology and single cell analysis. His laboratory is developing diagnostic tools for early cancer detection and therapeutic drugs targeting the metabolic pathways of cancer.
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