Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis: Its Role in Biomarker Discovery and Gene Function AnalysisGeorge G. Harrigan, Royston Goodacre It is evident that biochemical control is not strictly hierarchical and that intermediary metabolism can contribute to control of regulatory pathways. Metabolic studies are therefore increasingly important in gene function analyses, and an increased interest in metabolites as biomarkers for disease progression or response to therapeutic intervention is also evident in the pharmaceutical industry. This book offers guidelines to currently available technology and bioinformatics and database strategies now being developed. Evidence is presented that metabolic profiling is a valuable addition to genomics and proteomics strategies devoted to drug discovery and development, and that metabolic profiling offers numerous advantages. |
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algorithm Anal Chem analysis analytical Appl Spectr application approach bacteria biochemical biofluids Bioinformatics Biol biological biomarkers carbon cells cellular changes characterization chemical clinical complex components compounds concentrations correlation data set database detection diabetes disease drug dystrophic dystrophin effects endometriosis enzymes extracts fatty acid Fiehn FT-IR functional genomics gene expression genetic genetic algorithm glucose glycolysis Goodacre Greef H NMR Hepa Hepa c4 Hepa WT human identification infrared ionization isotopomers labeled lactate laser levels lipid lysophosphatidic acid lysophospholipids magnetic resonance mass spectrometry metabolic fingerprinting metabolic pathways metabolic profiling metabolites metabolome metabolomic data methods microbial molecular molecules mouse muscle networks NMR spectroscopy nucleic acid ovarian cancer parameters pattern recognition pentose cycle peptides phenotype phospholipids protein proteomics quantitative Raman spectroscopy ribose sample specific spectra spectrum stable isotope strategies structure studies substrate synthesis target techniques tissue toxicity transcriptomics tumor utrophin variables vivo yeast